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DATAFOREST Services for the E-Commerce Industry
Optimize business performance, enhance customer engagement, and drive innovative growth in the digital marketplace with AI-adopted technologies.
Data Engineering Services Satisfy Needs
Scale infrastructure effectively, optimize user experience and supply chain, improve customer service with AI, and derive actionable insights.
The Core Essence
of Data Science
Harness advanced analytical techniques and AI/ML algorithms to interpret complex data. Analyze user behavior and preferences, forecast demand, and use intelligent chatbots.
Data Scraping and Customer
Service Automation
Gather customer feedback and queries from various platforms to train and improve AI models.
Managing Large-Scale
Infrastructure with DataOps
Optimize data workflows, making scaling more responsive to fluctuating demands.View page
Data Integration for Informed
Decision-Making
Aggregate and harmonize data from diverse sources, providing a comprehensive view. Combine big data from various supply chain sources.
Web Development for
User-Friendly Trading
Create dashboards and reporting tools that are accessible through a website or an intranet.
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Better Products and Experiences
Benefits of e-commerce using our services and solutions:
01
Enhanced decision-making
02
Optimized inventory management
03
Customer segmentation for
targeted marketing
targeted marketing
04
Efficient supply chain management
05
Personalized customer experiences
06
Fraud detection and prevention
07
Predictive analytics for
future planning
future planning
08
Competitive advantage
Boost Work Efficiency and Accuracy with Expert Machine Learning Support.
Get in Touch Now!
Lead-collecting Web Solution
Leadmarket is the lead-collecting web tool made by Dataforest. We’ve built a solution that provides a fast and precise lead search from various sources like Google Places, Facebook Business Pages, Yelp, and Yellowpages in one place. The collected lead bases from the USA's e-commerce, insurance, retail, and finance industries can be set to auto-update as quickly as every 10 minutes!
Leadmarket is the lead-collecting web solution made by Dataforest.
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.
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.
Web app for dropshippers
The Client wanted to create a web app for people who sell products online (dropshippers) to show them the most popular products and calculate the potential profits. DATAFOREST designed and built the web app from scratch, creating high-load scraping algorithms to extract data from different e-commerce marketplaces, developing AI algorithms to calculate profits, and integrating the payment system with various functionalities.
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If we experience any problems, they come back to us with good recommendations on how the project can be improved.
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.
All Success Stories
What Data Science technologies do we use?
Pandas
SciPy
TensorFlow
Numpy
ADTK
DBscan
G. AutoML
Keras
MLFlow
Natural L. AI
NLTK
OpenCV
Pillow
PyOD
PyTorch
FB Prophet
SageMaker
Scikit-learn
SpaCy
XGBoost
YOLO
Steps
Towards Good Development
These data engineering development stages ensure that solutions are well-designed, thoroughly tested, and aligned with business objectives.
Initial Project Assessment and Definition
Discovery
Tech Design and Backlog Planning
Development Based on Sprints
Project Wide QA
Deployment and Rollout
Support and Continuous Improvement
Related articles
All publications
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Still have questions about data science services?
Can you handle large volumes of data from various sources, including sales, inventory, and customer interactions?
How does your Ecommerce Data Processing service integrate with our existing systems and processes?
How can DATAFOREST help us personalize our marketing strategies and improve customer experiences?
How long does it typically take to process and analyze our e-commerce data?
Can you tailor your E-commerce Data Processing solutions to our business needs and industry?
What types of reports and visualizations do you offer to help us monitor and measure the impact of your services on our business growth?
How can we get started with ordering E-commerce Data Processing services from DATAFOREST?
Do you offer ongoing support and assistance after implementing your data processing solutions?
How can DATAFOREST help us optimize our inventory management and supply chain operations?
How do you ensure the processed data is accessible and easily interpreted for our team?
What is the role of big data in general and big data analytics in particular for data engineering in e-commerce?
Let’s discuss your project
Share project details, like scope or challenges. We'll review and follow up with next steps.
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