Machine Learning Models & Predictive Analytics for Business Insights

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Machine Learning and Predictive Analytics

Is your business suffering from leveraging data for insights and predictions? The solution implements machine learning models and predictive analytics that can turn data.

Let your data create value

Machine Learning and Predictive Analytics

Essence

Businesses can access large amounts of data but lack the tools or expertise to analyze it and extract valuable insights.

Usage

It uses Python for machine learning, TensorFlow for deep learning, and Power BI for data visualization.

Effect

Enables businesses to make data-driven decisions, predict future trends, and personalize their services, improving efficiency and customer satisfaction.

Netflix

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Netflix, the streaming giant, uses machine learning for personalized recommendations, enhancing user experience by suggesting shows and movies based on their viewing history and preferences.

Example 1 of 3

American Express

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American Express, a multinational financial services corporation, uses predictive analytics for fraud detection. This helps identify fraudulent activities, thereby protecting their customers' accounts.

Example 2 of 3

General Electric

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General Electric, the multinational conglomerate, uses predictive maintenance to reduce downtime in its manufacturing processes. It helps in anticipating equipment failures and maintenance scheduling.

Example 3 of 3

Check out a few case studies that show why DATAFOREST will meet your business needs.

All Success Stories

Data Science

Web Applications

Data Engineering

Emotion Tracker

For a banking institute, we implemented an advanced AI-driven system using machine learning and facial recognition to track customer emotions during interactions with bank managers. Cameras analyze real-time emotions (positive, negative, neutral) and conversation flow, providing insights into customer satisfaction and employee performance. This enables the Client to optimize operations, reduce inefficiencies, and cut costs while improving service quality.

15%

CX improvement

cost reduction

Alex Rasowsky

CTO Banking company

View case study

They delivered a successful AI model that integrated well into the overall solution and exceeded expectations for accuracy.

Data Science

Sales automation

Data Insights & Forecasting

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.

customer retention boost

25%

profit growth

Christopher Loss

CEO Dayrize Co, Restaurant chain

View case study

The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.

Data Science

E-commerce

Sales automation

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.

faster service

15%

CX boost

Brian Bowman

President Carsoup, automotive online marketplace

View case study

Technically proficient and solution-oriented.

Data Science

Business process automation

Retail

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.

100h+

manual work reduced

13%

work experience boost

Bernd Herzmann

CTO Retail company

View case study

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.