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Podcast Platform Boosts Engagement 7× Using AI Recommendations
A leading podcast platform partnered with Dataforest to replace manual recommendations with an AI-powered personalization engine. The new system analyzes user behavior and context in real time to deliver tailored suggestions in under 0.5 seconds, handling up to 20 recommendations per second. This resulted in 7× higher user engagement, enhancing listener experience and significantly increasing the client’s revenue.
7
×
higher user engagement
<
0.5
secs
average recommendation delivery speed
~
20
recommendations/sec throughput
The client is a leading web and mobile podcast platform in Saudi Arabia, recognized across the MENA region for its high-quality, authentic journalism in text, visual, and audio formats.
Databricks
TensorFlow
Spark
PostgreSQL
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Databricks vector search
THE CHALLENGE
The podcast platform faced very limited personalization due to its manual recommendation process
The podcast platform relied on static, manually curated recommendations that couldn’t adapt to user behavior. This restricted engagement, slowed revenue growth, and left the platform behind competitors who leveraged dynamic personalization.
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No Adaptability to User Behavior
Recommendations weren’t responsive to user preferences, resulting in low engagement and poor discovery of new content.
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Missing Real-Time Data Infrastructure
The system lacked pipelines to process data instantly, preventing real-time insights and timely content delivery.
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Cold Start Problem for New Users
With no recommendation system for users without history, new listeners had a poor first experience.
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Scalability Gaps
The legacy approach couldn’t support rapid growth in users and content, limiting future expansion.
THE SOLUTION
AI-Powered Recommendation Engine with 7x Engagement Boost
We built a flexible recommendation model that processes diverse user signals in real time. It delivers highly relevant podcast suggestions, improving user engagement by 7x and enabling scalable growth.
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Automated Data Pipelines
Developed real-time ETL pipelines to collect and process behavioral data, ensuring accuracy and enabling consistent recommendations.
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Contextual Cold Start Solution
Used contextual data such as time, location, and language to deliver relevant suggestions for new users without history.
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Modular, Scalable Architecture
Created a system with multiple recommendation modules and a ranking model that scales with users and content growth.
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Cross-Signal Personalization
Integrated listening history, comments, and metadata to generate recommendations across all content types, boosting relevance.
THE RESULT
AI-Powered Personalization: 7x More Podcast Engagement and 30% Higher User Interaction
A leading podcast platform in Saudi Arabia and the MENA region needed to replace its static, manually curated recommendations to drive growth and user satisfaction. DATAFOREST delivered a scalable AI-powered recommendation engine that personalizes podcast suggestions in real time based on user behavior, preferences, and context.
We developed a modular system with a learning-based ranking model and a real-time data pipeline to process user activity efficiently. Key challenges included scaling architecture, integrating diverse interaction signals, and solving the cold start problem for new users. It was addressed by combining behavioral data with contextual metadata (e.g., time, language, location). Recommendations now auto-update every 48 hours, ensuring ongoing relevance and eliminating manual work.
This transformation enabled the podcast to personalize content at scale, increase user satisfaction, boost revenue, and future-proof its platform with a flexible, data-driven solution.
<0.5 sec
average recommendation delivery speed
~20
personalized recommendations processed per second
7×
higher user engagement compared to the manual system (A/B tested)
Podcast Platform Boosts Engagement 7× Using AI Recommendations
Steps of providing data scraping services
How we provide data integration solutions
Steps of providing web applications services
The Way We Deal with Your Task and Help Achieve Results
The way we deal with your issue and achieve result
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Email marketing SaaS platform
DATAFOREST built a scalable SaaS multivendor platform for a UK based job advertising company, tailored for the US market expansion. It optimizes email marketing with an advanced distribution algorithm for high deliverability and engagement. Key features included an SEO-optimized website, multi-domain management, and efficient email marketing, driving organic traffic and boosting affiliate earnings.
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Email marketing SaaS platform
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
They developed solutions that brought value to our business.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Enhancing Content Creation via Gen AI
Dataforest created an innovative solution to automate the work process with imagery content using Generative AI (Gen AI). The solution does all the workflow: detecting, analyzing, labeling, storing, and retrieving images using an end-to-end trained large multimodal model LLaVA. Its easy-to-use UI eliminates human involvement and review, saving significant man-hours. It also delivers results that impressively exceed the quality of human work by having a tailored labeling system for 20 attributes and reaching 96% model accuracy.
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Revolutionizing Image Detection Workflow with Gen AI Automation
Enhancing Content Creation via Gen AI
Dataforest created an innovative solution to automate the work process with imagery content using Generative AI (Gen AI). The solution does all the workflow: detecting, analyzing, labeling, storing, and retrieving images using an end-to-end trained large multimodal model LLaVA. Its easy-to-use UI eliminates human involvement and review, saving significant man-hours. It also delivers results that impressively exceed the quality of human work by having a tailored labeling system for 20 attributes and reaching 96% model accuracy.
Revolutionizing Image Detection Workflow with Gen AI Automation
Cargo Documents Digitalisation
In logistics, every carrier relies on documentation, especially paper. Numerous paper documents are prone to frequent misplacement and erroneous signatures, while strict submission requirements exist. Dataforest has innovated a web application to streamline paper-intensive processes into an entirely digitized one with just a few clicks, significantly enhancing efficiency and accuracy.
If you are looking for a strong product manager who takes the time to become enmeshed in your business and industry, then Maryna is the person for the job.
Enhancing Content Creation via Gen AI
Dataforest created an innovative solution to automate the work process with imagery content using Generative AI (Gen AI). The solution does all the workflow: detecting, analyzing, labeling, storing, and retrieving images using an end-to-end trained large multimodal model LLaVA. Its easy-to-use UI eliminates human involvement and review, saving significant man-hours. It also delivers results that impressively exceed the quality of human work by having a tailored labeling system for 20 attributes and reaching 96% model accuracy.
Revolutionizing Image Detection Workflow with Gen AI Automation
Data parsing
We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
Back Office Automation
The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.
Insurance Profitability Analysis Tool
This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.
Optimise e-commerce with modern data management solutions
An e-commerce business uses reports from multiple platforms to inform its operations but has been storing data manually in various formats, which causes inefficiencies and inconsistencies. To optimize their analytical capabilities and drive decision-making, the client required an automated process for regular collection, processing, and consolidation of their data into a unified data warehouse. We streamlined the process of their critical metrics data into a centralized data repository. The final solution helps the client to quickly and accurately assess their business's performance, optimize their operations, and stay ahead of the competition in the dynamic e-commerce landscape.
We are extremely satisfied with the automated and streamlined process that DATAFOREST has provided for us.
Infrastructure Audit & Intelligent Notifications
An e-commerce company had issues with managing its complex IT infrastructure across multiple cloud providers. We helped to analyze the current architecture and develop a strategy for unification, scaling, monitoring, and notifications. As a result, we implemented a single cloud provider, CI/CD process, server unification, security and vulnerability mitigation actions, and improved reaction speed and reliability by 200%.
Not only are they experts in their domains, but they are also provide perfect outcomes.
Streamlined Data Analytics
We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.
Their communication was great, and their ability to work within our time zone was very much appreciated.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
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The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Data parsing
We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Infrastructure Audit & Intelligent Notifications
An e-commerce company had issues with managing its complex IT infrastructure across multiple cloud providers. We helped to analyze the current architecture and develop a strategy for unification, scaling, monitoring, and notifications. As a result, we implemented a single cloud provider, CI/CD process, server unification, security and vulnerability mitigation actions, and improved reaction speed and reliability by 200%.
Not only are they experts in their domains, but they are also provide perfect outcomes.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
Infrastructure Audit & Intelligent Notifications
An e-commerce company had issues with managing its complex IT infrastructure across multiple cloud providers. We helped to analyze the current architecture and develop a strategy for unification, scaling, monitoring, and notifications. As a result, we implemented a single cloud provider, CI/CD process, server unification, security and vulnerability mitigation actions, and improved reaction speed and reliability by 200%.
Not only are they experts in their domains, but they are also provide perfect outcomes.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Back Office Automation
The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Data parsing
We helped a law consulting company create a unique instrument to collect and store data from millions of pages from 5 different court sites. The scraped information included PDF, Word, JPG, and other files. The scripts were automated, so the collected files were updated when information changed.
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
Real-Time AI Voice Agent for Cold Calling
We developed a real-time voice-to-voice AI agent for the client, one of the top affiliate CPA networks. It delivers human-like conversations, handles noisy environments, and integrates with the client’s CRM and ATS. Trained on sales data, it boosts performance with <450 ms response time and a 1:1–1.5 sales quality ratio vs. human agents.
AI-Powered Cold Calling: Real-Time Voice-to-Voice Conversations
Store heatmap
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
Insurance Profitability Analysis Tool
This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Back Office Automation
The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They developed solutions that brought value to our business.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Streamlined Data Analytics
We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.
Their communication was great, and their ability to work within our time zone was very much appreciated.
They developed solutions that brought value to our business.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Employee Tracker
The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Improving Chatbot Builder with AI Agents
A leading chatbot-building solution in Brazil needed to enhance its UI and operational efficiency to stay ahead of the curve. Dataforest significantly improved the usability of the chatbot builder by implementing an intuitive "drag-and-drop" interface, making it accessible to non-technical users. We developed a feature that allows the upload of business-specific data to create chatbots tailored to unique business needs. Additionally, we integrated an AI co-pilot, crafted AI agents, and efficient LLM architecture for various pre-configured bots. As a result, chatbots are easy to create, and they deliver fast, automated, intelligent responses, enhancing customer interactions across platforms like WhatsApp.
Improve chatbot efficiency and usability with AI Agent
Store heatmap
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
Insurance Profitability Analysis Tool
This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Back Office Automation
The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They developed solutions that brought value to our business.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Streamlined Data Analytics
We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.
Their communication was great, and their ability to work within our time zone was very much appreciated.
They developed solutions that brought value to our business.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Employee Tracker
The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
LLM-Powered Recommendation System
An Israeli startup is transforming U.S. service providers' personalized offerings. Dataforest scaled the project from prototype to a full web app with advanced ML, LLMs, and RAG fine-tuning. Managing 100,000+ products for 50,000+ customers, it delivers precise recommendations and revenue forecasts, maximizing sales opportunities
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LLM-Powered Recommendation System
Store heatmap
The electronics retailer, wanted to improve their sales and customer service by analyzing the flow of people into their stores. We created a system using Machine Learning, image detection, and face recognition. The system tracks visitors' movements and the most viewed shelves and products. This information helps the store to focus on selling popular products and to avoid unpopular ones, ultimately improving the sales process.
DATAFOREST provides meaningful shopper-behavior Insights. They are very responsive and effective, trying to engineer and offer the best fit solution.
Insurance Profitability Analysis Tool
This project involved developing a tailor-made data analysis tool for a U.S. insurance provider who were facing challenges analyzing a significant volume of data. The Client needed a professional and customized solution which would enable effective analysis of their data and provide actionable insights to improve their business operations. Our solution delivers real-time processing of data, flexible filtering capabilities through dashboards, and also supports dashboards detailing the evaluation of insurance loss or profit by industry vertical. Additionally, a predictive model for profitable insurance cases was built using historical data, and a reporting system was created to show significant factors and profitability based on different metrics.
Great work! The team provided an excellent solution for consolidating our data from multiple sources and creating valuable insights for our business.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Entity Recognition
The online marketplace for cars wanted to improve search for users by adding full-text and voice search, as well as advanced search with specific options. We built a system application using Machine Learning and NLP methods to process text queries, and the Google Cloud Speech API to process audio queries. This helped greatly improve the user experience by providing a more intuitive and efficient search option for them.
Technically proficient and solution-oriented.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Back Office Automation
The client faced the challenge of upgrading their legacy manual and offline processes to new digital and emerging technologies and wanted to change the way suppliers, customers, and contractors interact with each other and improve their delivery process. The solution we implemented was a tailor-made web application that digitized the entire business process - CRM, warehouse management, and product delivery tracking.
They immediately understood needs and expectations and assembled an excellent team to ensure the project is delivered on time and within budget. They remain very flexible and responsive.
Gen AI Hairstyle Try-On Solution
Dataforest developed a top-on-the-market Gen AI hairstyles solution for US clients. It consists of the technology for the main product and the free trial widget. The solution generates hairstyle try-ons using the user's selfie. We had two primary objectives. The first was to ensure high accuracy in preserving the user's facial features. The second one was to create hairstyles that showcase the most natural hair texture. Our vast experience in Gen AI and Data science helped us achieve 94% model accuracy. It guarantees high-quality user face resemblance and natural hair in the generated photos. And it results in much higher user satisfaction, making it #1 on the market.
Gen AI Hairstyle Try-On Solution
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They developed solutions that brought value to our business.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Streamlined Data Analytics
We helped a digital marketing agency consolidate and analyze data from multiple sources to generate actionable insights for their clients. Our delivery used a combination of data warehousing, ETL tools, and APIs to streamline the data integration process. The result was an automated system that collects and stores data in a data lake and utilizes BI for easy visualization and daily updates, providing valuable data insights which support the client's business decisions.
Their communication was great, and their ability to work within our time zone was very much appreciated.
They developed solutions that brought value to our business.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
E-commerce scraping
The dropshipping company needed a way to automatically monitor prices and stock availability for over 100,000 products from over 1,500 stores. We created a system using custom scripts and a web interface that could check 60 million pages daily. This led to a reduction in manual work and errors, and improvements in customer experience and a $50-70k increase in monthly profits.
They always find cutting-edge solutions, and they help bring our ideas to life.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
Financial Intermediation Platform
The project aims to develop a deal origination platform for private equity investments in infrastructure-related sectors and involves building a secure, interactive B2B platform from scratch, with sign-up functionality to connect investment firms to proprietary investment opportunities. DATAFOREST built a highly-loaded platform and applied AI functionality to empower the application's development.
They understood our requirements, translated into actions rapidly, and adapted to requests easily.
Employee Tracker
The large Retail company was facing a significant challenge in managing and tracking our employees' working hours and needed a solution that would automate the process and ensure accuracy. We developed a system for counting employees' working hours. Employees simply approach the device upon arrival and the system automatically identifies them and records their check-in time.
DATAFOREST has an excellent workflow and provide constant and close communication. The team brings in a range of technical talent to address issues as they arise.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
They developed solutions that brought value to our business.
They developed solutions that brought value to our business.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
Bank Data Analytics Platform
The Bank Data Analytics Platform project aims to develop a web-based application for the Client and its customers to query and analyze data relating to various banks and other financial institutions. The project involves building an interactive B2B web app with custom dashboards and analytics features, as well as using AI functionality to empower the application's development and analytics capabilities.
They've had a quick grasp of what we are trying to do and delivered to our spec without a fuss.
AI Web Platform for Data-Driven E-commerce Decisions
Dropship.io is a powerful data intelligence platform that helps e-commerce businesses identify profitable products, analyze market trends, and optimize sales strategies. Using large-scale data scraping, AI-driven insights, data enrichment solutions, integrations with Shopify, Meta, and Stripe, it enables smarter product decisions and drives revenue growth.
AI-Powered E-commerce Platform: Data-Driven Case
Mailing Platform
We created a mailing platform that helps a multi-faceted union to send information about events, opportunities, and grants to all its member companies. The platform stores information about all member companies and makes it easy to send messages to the right people at the right time. This helps member companies to stay informed and improves the union's ability to support the country's businesses.
DATAFOREST is reliable in delivering quality solutions. Besides, they demonstrate effective project management and communication despite working remotely.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
Performance Optimization & Bottlenecks Elimination
The financial services company faced performance issues and bottlenecks on its financial platform and was looking for a DevOps partner to increase application performance, stability, and resilience, and reduce operational costs. DATAFOREST performed a technical audit of the current AWS infrastructure, created a bottleneck monitoring system, re-developed inefficient SQL queries and data pipelines, and implemented horizontal scaling and a microservice approach using Docker and Kubernetes.
The team of DATAFOREST is very skilled and equipped with high knowledge.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
AI Forecasting That Saved $142M for Global Retailer
Considering each outlet's specifics, we built the AI demand forecasting solution and optimized the volume of goods in the warehouse and the range of goods in different locations. We set up a system that has processed over 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Reporting & Analysis Automation with AI Chatbots
The client, a water operation system, aimed to automate analysis and reporting for its application users. We developed a cutting-edge AI tool that spots upward and downward trends in water sample results. It’s smart enough to identify worrisome trends and notify users with actionable insights. Plus, it can even auto-generate inspection tasks! This tool seamlessly integrates into the client’s water compliance app, allowing users to easily inquire about water metrics and trends, eliminating the need for manual analysis.
Automating Reporting and Analysis with Intelligent AI Chatbots
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Latest publications
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Utility CDP: One Database Instead of Data Chaos
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10 min
AI In Utility: Flexible Integration Without System Disruption
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Field Service App for Technicians: Works When Cell Service Doesn't
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