Kotsovolos – Demand Planning Rewired by Intelligence

Kotsovolos faced the challenge of managing retail replenishment at scale across a large electronics and appliance catalog with highly seasonal and promotional demand patterns. Manual planning processes could not handle the volume and complexity of SKU-location decisions required, resulting in inefficiencies in both service levels and inventory investment.

AI-driven demand planning improves retail replenishment by generating probabilistic forecasts at the SKU-location level that account for seasonality, promotions, and demand variability. These forecasts are automatically translated into replenishment orders that maintain target service levels while minimizing excess inventory — replacing the manual, error-prone processes that characterize spreadsheet-based planning.

Retailers using ToolsGroup's AI-powered supply chain planning platform typically achieve higher service levels, reduced inventory investment, and significant reduction in planner workload. The platform's probabilistic approach allows retailers to optimize both service and working capital simultaneously — rather than trading one off against the other as traditional planning methods require.