• Retail business performance analysis, monitoring sales and profitability.
• Demand analysis and forecasting.
• Multi-echelon inventory optimization.
• Assortment and merchandising planning and optimization.
• Data-driven recommendations on optimal product promotion activities.

• Patient health condition monitoring, condition-based alerting.
• Patient treatment optimization.
• Assessment of patient risks and personalized care plan recommendations.
• Proactive care (defining trends and patterns in patient condition requiring a doctor’s attention).
• Fraud detection in healthcare insurance.
• Medical staff workload prediction and work shifts optimization.
• Optimization of clinical space and equipment usage.

• Overall equipment effectiveness analysis and optimization.
• Manufacturing process quality optimization.
• Equipment maintenance scheduling.
• Power consumption forecasting and optimization.
• Production loss root cause analysis.

• Operational capacity planning and optimization based on the analysis of incoming shipments, customer delivery schedules, vehicles availability, and personnel shift schedules.
• Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.).
• Vehicle demand forecasting.
• Predicting optimal amounts of fuel needed based on the analysis of driving patterns.
• IoT data analytics (data on cargo temperature, humidity, etc.; data on driver behavior, data on vehicle condition, etc.) for safe cargo delivery.

• Identifying demand drivers, consumer demand forecasting and planning.
• Supplier performance monitoring and evaluation.
• Predictive route optimization.
• Determining the optimal level of inventory to meet the demand and prevent stockouts, inventory planning and management.
• Identifying patterns and trends throughout the supply chain for enhanced supply chain risks management.

• Employee/department performance monitoring and analysis.
• Employee experience and satisfaction analysis.
• Employee retention strategy optimization and management.
• Employee hiring strategy analysis and optimization.
• Labor cost analytics.

• Real-time asset monitoring and tracking.
• Predictive and preventive maintenance, developing asset maintenance strategies.
• Planning asset investments.
• Asset usage analytics, planning and scheduling asset modernization/replacement/disposal strategies.

• Sales channel analytics.
• Pricing analytics to design pricing strategies.
• Identifying and predicting sales trends.
• Conducting product performance analysis.
• Tracking customer interactions with a product to identify pain points leading to churn.
• Conducting competitor benchmarking.

• Customer behavior analysis and predictive modeling.
• Customer segmentation for tailored sales and marketing campaigns.
• Personalized cross-selling and upselling offers for extended customer lifetime value.
• Predicting customer attrition and customer churn risk management.
• Customer sentiment analysis.

• Monitoring revenue, expenses and profitability of a company.
• Profitability analysis and financial performance management.
• Budget planning, formulating long-term business plans.
• Financial risk forecasting and management.