Your system says one number. Your warehouse may say another. Most operations teams I've talked to will tell you their inventory accuracy is somewhere in the high 90s. And maybe their system says that. But if you've ever walked a count and found a pallet of product sitting in a lane that hasn't been touched in three weeks, or pulled up a pick location to find 47 units when the WMS says 200, you already know there's a gap between the number and the truth. The problem usually is

Counting more often won't help if discrepancies aren't fixed We doubled our cycle count frequency one quarter and our accuracy got worse. Not a little worse. Meaningfully worse. It took a few weeks of digging to understand what had actually happened, and I think about it every time I hear someone say "we just need to count more often." The problem wasn't the counting. It was that we were counting fast, under pressure, in the same slots where our pick errors were highest, with

Inventory data: optimistic. Reality: empty shelves. The numbers lie A system that says you have 144 units doesn't mean you have 144 units. It means someone scanned, typed, or received something at some point, and the system believed them. That's a very different thing. The gap between what your WMS shows and what's actually on the rack usually doesn't come from one big mistake. It comes from a hundred small ones stacking up quietly over months. A pallet received short but sig

Ghost inventory hides in your system—not on your shelves Your WMS says you have 48 units of a SKU. Your picker walks the aisle, scans the location, and finds cardboard and air. So you short the order, the customer complains, and somewhere in a morning standup someone says "we need to fix our inventory accuracy" like that's a new idea. Ghost inventory is stock the system is certain exists but doesn't. It builds up quietly. A receiving team that scans a pallet at the dock but n

Inventory accuracy starts on the warehouse floor When inventory accuracy is off, the first thing most teams do is pull up a ticket for IT or start shopping for a new WMS. The ERP gets blamed. The WMS gets blamed. Sometimes the poor guy who picked the wrong slot gets blamed. But nine times out of ten, if you trace the error back far enough, you land on the same place: the cycle count. Here's what bad cycle counts actually look like in the wild. Someone prints a paper sheet, wa

Accurate returns keep inventory reliable Returns processing is where inventory accuracy goes sideways quietly. It doesn't happen all at once. It happens one 'I'll sort it later' at a time, until you're sitting on a discrepancy report wondering how you ended up with 14 phantom units in a bin that should have 6. The core problem isn't the returns themselves. It's that most receiving workflows were designed around inbound freight, not random stuff coming back in beat-up polybags