A huge fitment-driven SKU base, intermittent demand and next-day fill-rate expectations. DemandIntel right-sizes every part on your own data, deterministically, across your whole network.
An aftermarket parts business carries an enormous, fitment-driven catalogue where most parts sell a handful of times a year, yet customers expect the right one, in stock, next day. Blanket rules over-stock the long tail and still miss the part a customer needs.
Supersessions, fitment changes and a multi-warehouse network keep moving the target. Planning this by hand or by average quietly freezes cash while fill rate slips.
Catalogues run to tens or hundreds of thousands of parts, most of them slow movers.
Many parts sell a few times a year. Classic forecasting smooths them to zero or over-buys.
Customers want the exact part, now. Service commitments force buffers you must size precisely.
Parts supersede and fitments change, breaking the history the forecast relies on.
Stock is split across branches and DCs. Every rebalancing changes the right answer per location.
A little over-stock per part, times a huge catalogue, is a large frozen position.
inventory write-down at one auto-parts distributor in fiscal 2024, from store closures and liquidation
inventory write-down at a major parts distributor in 2024, driven by obsolescence
Sources: Advance Auto Parts FY2024 Form 10-K; Genuine Parts Company FY2024 Form 10-K (SEC).
DemandIntel forecasts intermittent demand part by part, with the right model for slow movers, so the long tail stops silently absorbing cash. Safety stock and reorder points are sized on real error and lead-time variability and tuned to your fill-rate target, so you protect next-day service on the parts that matter.
It plans across your branches and DCs and re-optimizes when you rebalance, so a network change does not break your settings. It runs on-site, beside your ERP or DMS, and every reorder point is reproducible and auditable, a number your buyers can defend.
That is the core strength: intermittent demand is modelled per part, so you right-size the long tail instead of a rule that misses it both ways.
Safety stock is sized to your service target on real error, so you protect fill rate on critical parts without blanket over-stocking.
The plan accommodates supersession and history changes rather than being thrown off by them.
It plans across the network and re-optimizes on rebalancing, so consolidation does not silently break your settings.
Picture your next S&OP meeting: one number on screen that nobody argues with. See it free, on your own data, in 45 minutes; and if it does not hold up, we part as friends.