How to reduce overstock without hurting availability
Cutting stock with a blanket “minus 20%” order always ends the same way: availability drops, sales dip, and six months later the excess is back. The problem is not the amount of stock — it is that nobody separates healthy stock from excess before cutting.
Why it happens
Order quantities that stayed high after demand slowed, minimums that nobody revisited, volume deals accepted without a sell-through check. Excess grows quietly until it is expensive.
Some surplus is deliberate — a supplier discount worth taking, stock built before a holiday. Some is tolerable and just waits. And some is unwanted: beyond any tolerance, tying up cash and space. Treating all three the same is how availability gets hurt.
Network totals look fine while individual locations sit on months of supply. The excess lives at SKU-location level, where monthly reports never look.
What good control looks like
Classify first: separate allowed, tolerated and unwanted overstock per SKU per location — only the unwanted layer gets attacked
Act in the cheap order: redistribute to locations that need it → return to warehouse → promote or reprice → clear out by a set date
Fix the source: lower the targets and ordering rules that created the excess, so it does not rebuild
Watch it in history: overstock tracked day by day proves the reduction is real, not a snapshot
Horizon does this continuously: every SKU-location is placed in a stock zone, unwanted overstock generates concrete actions (transfer lists, warehouse returns, price/outlet moves), and targets adjust down where stock lingers high — so the excess stops regenerating.
Related: Glossary of inventory-flow terms · Horizon vs the alternatives · Value Calculator
Common questions
Can I just cut all stock by 20%?
How fast can overstock be reduced?
See this on your own data.
The free demo begins with a real simulation on your history — where sales, cash and time are leaking, and what the system would have done instead.