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 Featured Success Stories From Our 4,300-Project Portfolio

56 results:

Computer Vision Solution for In-Store Customer and Employee Behavior Analysis

Computer Vision Solution for In-Store Customer and Employee Behavior Analysis

ScienceSoft’s team created a custom image analysis solution for the retail industry to analyze customers' behavior, optimize merchandizing activities, estimate sales productivity, etc.

Proof of Concept (PoC) for Enterprise AI Copilot Accessible via Microsoft Teams

Proof of Concept (PoC) for Enterprise AI Copilot Accessible via Microsoft Teams

ScienceSoft prepared a proof of concept for an AI process optimization tool for a real estate investor. ScienceSoft compared several AI platforms for accuracy, responsiveness, and integration capacity and designed a Microsoft Copilot-based solution in just 8 days.

Multilingual AI-Powered Vacation Chatbot for a SharePoint Intranet

Multilingual AI-Powered Vacation Chatbot for a SharePoint Intranet

ScienceSoft created an intelligent vacation chatbot that helps the Client's employees check up and book vacations right on their SharePoint intranet homepage, as well as via desktop and mobile messengers.

Machine Learning Models for Nitrogen Footprint Reduction

Machine Learning Models for Nitrogen Footprint Reduction

ScienceSoft developed XGBoost, RNN, and LSTM machine learning models to help an energy solutions provider achieve the lowest possible nitrogen emissions values for its gas turbines.

Data Science Consulting for Electric Energy Consumption Analysis and Forecasting

Data Science Consulting for Electric Energy Consumption Analysis and Forecasting

ScienceSoft designed software architecture and provided detailed recommendations on creating machine-learning models to allow electricity companies to optimize their load management and price determination procedures.

Penetration Testing of a Web App and Public IPs for an AI AdTech Company

Penetration Testing of a Web App and Public IPs for an AI AdTech Company

ScienceSoft performed black box testing of a web application and IT infrastructure for an AI AdTech company. Our team discovered several critical vulnerabilities, advised the client on how to fix them, and conducted retesting to validate remediation results.