Retail & E-commerce
ML models that replace manual replenishment ordering with automated, demand-driven purchase proposals — reducing stock-outs, overstock, and buyer workload across the store network.
0h
Response time
0+
Projects delivered
0+
Years in production
Industry overview
Store-level replenishment automation systems that replace manual buyer ordering with demand-driven purchase proposals — generated from ML forecasting models that account for seasonality, promotions, and supplier lead time variability.
At a glance
In multi-site retail, store replenishment is one of the most labour-intensive and error-prone planning activities. Buyers managing thousands of lines across dozens of stores cannot give each SKU-location the analytical attention required to maintain optimal stock levels. The result is systematic overstock in high-performing categories and chronic stock-outs in fast-moving lines — often simultaneously.
We build store-level demand forecasting models that generate automated replenishment proposals for each SKU-location combination. Proposals account for seasonal patterns, promotional uplifts, supplier minimum order quantities, and delivery slot availability. Buyers review a manageable exception list — high-uncertainty SKUs, new product launches, and promotional periods — rather than reviewing every line. Variance tracking monitors proposal accuracy over time so models are retrained when performance drifts.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to retail & e-commerce clients.
Store-level SKU demand forecasting at daily granularity
Automated purchase order proposal generation for each SKU-location
Promotional and seasonal uplift integration for event weeks
Supplier MOQ, lead time, and delivery slot constraint handling
Exception-based buyer review workflow for high-uncertainty lines
Proposal accuracy monitoring with automated retraining triggers
Built with
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
