Counted right. Stored wrong. Still lost You ran the count. Numbers matched. Everyone went home feeling good about it. Then someone spent forty minutes Tuesday morning tearing apart rack D-7 looking for 36 units of a SKU that the system said was there — because it was there, once, before someone putaway a replenishment pallet in D-9 and keyed it as D-7 without catching it. The count was right. The location was wrong. The inventory was, for every practical purpose, lost. This i

Not every SKU needs the same counting frequency A facility I heard about last year dropped six figures on new reach trucks and a conveyor upgrade. Pick rates went up 30%. Fulfillment errors went up too. Turns out they'd been running on cycle count data that hadn't been fully reconciled in months, and the faster they moved, the faster they shipped the wrong thing to the wrong place. Better equipment is worth every penny — when the stock it's moving is where the system says it

Your warehouse isn’t slow. It’s waiting Most warehouses don't have a speed problem. They have a waiting problem. And there's a difference. Speed is how fast your team moves when they're moving. Waiting is everything else — the gap between a count finishing and a supervisor knowing about it, the three minutes someone spends hunting down a clipboard, the recount that happens because nobody trusted the first number. Those gaps don't show up on a productivity report. They just qu

Data says one thing, shelves say another. Refund numbers don't match Finance emails the warehouse asking why the refund credit from that outdoor furniture vendor is showing $4,200 on their end and $3,800 on yours. Someone schedules a call. The call turns into two calls. Meanwhile the vendor is waiting, and somebody's month-end is already wrong. This happens constantly in operations that handle vendor returns manually or across disconnected systems, and the root cause is almos

AI supports decisions—people provide expertise. Every few months someone publishes a piece about how AI is going to replace supply chain managers. I've read a dozen of them. They all describe a future where algorithms handle everything from demand forecasting down to the last pallet slot, and the humans just... watch. Clean hands. No missed counts. No 2am phone calls because a truck showed up early and nobody updated the system. That's not a warehouse. That's a render. Here's

In our ongoing series on inventory management, we’re sharing insights from our customers in the electronics and computer parts industry. Here’s what they say about their common inventory challenges and how they solve them: Inventory Challenge: Component Obsolescence Storage Space Supplier Coordination Demand Variability Quality Control Product Changes Waste Reduction Inventory Tracking Emergency Shortages Explore Our Innovative Solutions Yuneva: Discover how our technology ca