Machine Learning for Retail
Real-time monitoring and control
Real-time monitoring tracks inventory compliance and alerts on deviations from targets.
Open Dashboard →Modern interactive dashboard with real-time visualization and intuitive UX for quick decisions.
Launch Interface →Real-time dashboard tracks sales vs targets and provides instant alerts for corrective actions.
Open Dashboard →Sales forecasts, risk predictions, customer behavior
Intelligent forecasting system powered by Prophet algorithm. Analyzes historical sales data, identifies seasonal patterns.
Open Dashboard →Advanced GARCH models predict segment volatility and measure risk patterns for strategic decisions.
Launch Tool →Predictive RFM analytics forecasts customer lifetime value and churn probability.
Open Analytics →Analysis, reports and performance insights
Analytics platform describes product lifecycle stages and profitability patterns.
View Analytics →Unsupervised ML describes store similarity patterns and reveals natural segments.
Launch Clustering →Statistical platform describes product competition dynamics and measures cannibalization.
Launch Analysis →AI recommendations and optimization strategies
Intelligent engine prescribes optimal product assortment for each store based on network patterns.
Launch System →Interactive platform prescribes optimal pricing through scenario simulation and impact analysis.
View Simulator →Advanced RL system prescribes optimal strategies through continuous learning and feedback.
Launch System →