Beyond Shopify: demand that stopped stockouts
A fast-growing D2C brand was either out of stock on hero SKUs or buried in slow movers. Native tools weren’t enough.
A fast-growing D2C brand was either out of stock on hero SKUs or buried in slow movers. Native tools weren’t enough.
They ran on Shopify and a patchwork of spreadsheets. Reorder points were gut feel; promotions and new launches made planning worse. Best sellers went out of stock right when demand spiked; other lines sat in the warehouse. They needed forecasts that understood seasonality, campaigns, and product lifecycle — and fed into decisions they could actually execute.
We built a demand-forecasting engine that pulls in sales, inventory, and campaign data from their stack. It produces SKU-level forecasts with confidence intervals and recommended order quantities, and surfaces “act now” alerts when stock or trend deviates. The output plugs into their workflow: a simple dashboard for the ops team and optional feeds into their 3PL so they can automate reorder suggestions. We kept it focused on the 20% of SKUs that drive 80% of the problem first.
Stockouts on key products dropped; excess inventory started to shrink. The team stopped firefighting and started planning. They’ve since extended the same logic to new market launches and are exploring dynamic pricing for clearance.