Data Platform
Demand forecasting and automated replenishment across 62 stores, cutting both stockouts and spoilage.
Store managers ordered stock on instinct. Fast-moving lines ran out by the weekend while perishables were over-ordered and written off. Head office had no visibility until the monthly report.
A data pipeline consolidating POS data from all 62 stores, a forecasting model accounting for seasonality, local events and weather, and automated purchase-order suggestions managers can accept or override. A dashboard gives head office live stock positions.
Stockouts on top-selling lines fell by roughly two-thirds. Perishable write-offs dropped meaningfully. Managers now spend minutes on ordering instead of hours.
We will walk you through how we would approach it — scope, risks, timeline and cost.