How do retailers cut stockouts without overstocking?

Why the usual fix trades one problem for the other

Most inventory planning still runs on a fixed safety-stock rule and a buyer's judgement. Raise the buffer and stockouts fall, but cash and markdowns climb. Cut it and the shelf goes empty at the worst moment.

The rule cannot tell a steady seller from a one-week spike, so it overcorrects on both. The problem is not the size of the buffer. It is that the buffer is blind.

Forecast per item, per location, on real signals

The change is a forecast for each product in each store, built on what actually moves demand: recent sell-through, season, promotions, and the real lead time of each supplier. Stock follows expected demand, not a flat percentage.

This depends on clean product and location data. Retailers who have standardised on GS1 product identifiers get there faster, because the same item means the same thing across every channel and supplier.

Why it has to live in your ERP, not a side tool

A forecast only pays off when it acts. It has to raise the purchase order, reserve the store transfer, and flag slow movers for markdown before they age into a write-off.

On Hudace, demand, replenishment, and finance sit on one platform, so Xenon AI reads across them at once: it sees the gap forming, checks the supplier lead time, and proposes the order for a buyer to approve. The point-of-sale feed becomes a plan, not just a report.

The numbers to watch

Tie the programme to two or three measures, set a baseline first, and review each cycle.