Skip to main content
← Back to case studies
Smart RetailCase study

Smart Replenishment and Demand Forecasting for a Retail Chain

AI application development plus big data services: demand forecasting and smart replenishment models moving stores from experience-driven to data-driven decisions.

Smart Replenishment and Demand Forecasting for a Retail Chain

Background & solution

For a retail chain with many SKUs, high volatility and replenishment dependent on store managers' experience, we aggregated POS, inventory, promotion and holiday data, completed cleansing and governance, and developed forecasting and replenishment applications integrated with the existing ERP — suggested quantities auto-issued with an exception-review loop.

Outcomes

✓ Stockout rates and inventory turnover improved markedly; replenishment decisions take far less time; headquarters gained much stronger visibility and control over store inventory.