Know what you have, where it is, and when it moves Bad stock numbers don't come from laziness. They come from clipboards, spreadsheets that are three days out of date, and count sheets that someone filled in from memory because the scanner died in aisle 9. The gap between what your system says you have and what's actually on the rack is where shrink hides, where stockouts happen, and where your team loses an hour every Tuesday morning reconciling numbers that should never hav

AI helps sellers predict demand and stock smarter Most e-commerce sellers I talk to are sitting on one of two problems: too much of the wrong stuff, or stockouts on the things that are actually moving. Sometimes both, at the same time, in the same warehouse. That's a forecasting problem, and it's been around longer than the internet. What's changed is that AI is genuinely useful now for shrinking it — if you use it for the right things. Where it earns its keep is in velocity