Our Data Science Portfolio
A number of products to help big companies improve their innovation process with the help of semantic analysis of natural language texts including 15 mln worldwide patents, 3,000 cross-disciplinary scientific ‘deep web’ websites and the database of 8,000 scientific effects. The software allows engineering, marketing and production personnel to find more cost-effective, competitive and higher-quality system designs.
Development of an Application for LED Display Quality Diagnostics
ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification that allows the Customer to instantly identify problems with showing advertisements on their LED displays.
Development of Software for Defect Recognition in Polyurethane Film
ScienceSoft supported a leading FMCG manufacturer by delivering science-based sales forecasting and attainable sales targets.
A strategic solution to help retailers track customers by scanning and identifying faces. Now, for marketing purposes, businesses can gather and analyze information about consumers as well as detect potential criminals.
ScienceSoft’s team created a custom image analysis solution for the retail industry to analyze customers’ behavior, optimize merchandizing activities, estimate sales productivity, etc.
Use Cases Data Mindz Covers with Data Science Services
Operational intelligence
Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.
Supply chain management
Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.
Product quality
Proactively identifying the production process deviations affecting product quality and production process disruptions.
Predictive maintenance
Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.
Dymanic route optimization
ML-based recommendation of the optimal delivery route based on the analysis of vehicle maintenance data, real-time GPS data, route traffic data, road maintenance data, weather data, etc.
Customer experience personalization
Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.
Customer churn
Identifying potential churners by building predictions based on customers’ behavior.
Sales process optimization
Advanced lead and opportunity scoring, next-step sales recommendations, alerting on negative customer sentiments, etc.
Financial risk management
Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.
Patient treatment optimization
Identifying at-risk patients, enabling personalized medical treatment, predicting possible symptom development, etc.
Image analysis
Minimizing human error with automated visual inspection, facial or emotion recognition, grading, and