Data Science

Use Cases ScienceSoft 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 counting.

What Our Data Science Services Include

2. Data preparation.

3. Machine learning (ML) model design and development.
4. ML model evaluation and tuning.
5. Delivering data science output in an agreed format.