How a Thai retailer cut stockouts with demand forecasting
A multi-branch retailer was losing sales to empty shelves and cash to overstock. SKU-level forecasting rebalanced both — without adding headcount.
The problem was not effort — the team was reordering constantly. It was timing. Fast-movers ran dry before restock arrived, while slow SKUs tied up cash on the shelf.
Forecasting per SKU, per branch
We connected the existing POS and warehouse data and trained demand forecasts that account for seasonality, promotions, and local trends — down to each SKU at each branch.
Auto-reorder suggestions fired when stock was predicted to fall below a safe threshold, and allocation shifted stock between branches instead of always buying more.
The outcome
Within a quarter, stockouts on top sellers dropped sharply and inventory holding cost came down — with a human still approving every purchase order, on autopilot only where it was safe.
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