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

The price on the shelf is built layer by layer — from raw materials and labour to logistics, margins, and taxes. Most people who work in warehouses know roughly what a product costs. They see the PO, they know the unit price, they've got a general sense of margin. But that number on the PO is not the price of the product. It's the starting point. By the time a unit is received, putaway, counted, picked, replenished, maybe miscounted and recounted, and finally shipped — it has

Fast, accurate returns keep inventory moving Most warehouses have a solid process for inbound freight. Purchase order comes in, you receive against it, you slot it, done. Returns are a different animal entirely. There's no PO to receive against, the condition is unknown until someone looks at it, and half the time the return lands on a cart near the dock because nobody knows where else to put it. That cart becomes a black hole. The core problem is that returns get treated as

Growth succeeds when every supply chain process scales together. Growth exposes things. A process that works fine when you're shipping 500 orders a day starts showing cracks at 2,000, and by 5,000 it's actively costing you. The companies that scale well aren't the ones with the best software. They're the ones who figured out what was actually fragile before volume made it catastrophic. Inventory accuracy is usually the first thing to go. When you're small, a weekly cycle coun

Two picking philosophies run almost every warehouse on the planet, and the conversation about which one to use is usually muddier than it needs to be. Let me cut through it. Person-to-goods is what most of us grew up with. Picker walks the aisles, pulls from static rack locations, brings product to a pack station or drops it in a tote. Simple to set up, easy to train on, and the capital cost to start is basically shelving and a WMS license. If your SKU count is under a few th

Most warehouses track their returns rate. Fewer of them know if that number is actually bad. 8% sounds fine until you find out your product category benchmarks at 3%. 22% sounds alarming until you realize you're in apparel e-commerce, where that's Tuesday. So here's a rough cheat sheet. These are not magic targets — they're ballpark norms based on what the industry broadly reports, and your specific mix, channel, and customer base will move them. Use these as a starting poi

Most warehouse scorecards die in a spreadsheet somewhere around Q1. Someone spent two weeks pulling data, got it into a nice format, shared it in the ops review — and then life happened. Pick volumes spiked, a carrier went sideways, and the scorecard became another tab nobody opens. That's not a data problem. That's a design problem. A scorecard is only useful if the people doing the work can read it, believe the numbers, and know what to do when one of those numbers goes red