AI video analytics helps logistics teams see more and respond faster AI video analytics is getting pitched to logistics teams like it's magic. Vendor demos show clean footage, perfect lighting, neat overlays counting pallets as they glide past a camera. Real warehouses have fork traffic, shrink wrap glare, and aisles where the overhead lights have been out since Q3. So let's talk about what this technology actually does when it's working correctly, because there's real value

Warehouse labor shortage across the country are running counts, picks, and ships with crews that are 20-30% smaller than they were three years ago. That's not a projection. That's Tuesday. The Bureau of Labor Statistics has been tracking warehouse and storage turnover north of 40% annually for years now, and anyone who's tried to backfill a lead counter or an inventory analyst in the last eighteen months knows that number feels conservative. The causes stack up fast. An agi

Splitting your logistics between in-house and a 3PL sounds like a smart hedge until about the third time you're standing at the dock trying to figure out whose inventory number is right. That's usually when the cracks show. The problem isn't the model itself. Hybrid setups can work well — you keep tight control over your fastest-moving SKUs and let the 3PL handle the seasonal overflow or the awkward freight lanes you don't want to staff for. But the moment those two environ

Someone sends you a report saying the industry average inventory accuracy rate is 97.2%. Your last cycle count came in at 96.1%. Now what? Do you panic? Shrug? That one number, sitting without context, is almost useless — and that's the trap most warehouse benchmarking falls into. Benchmarks get blended across facility types, product categories, and count methodologies before they ever reach you. A 3PL running fast-moving consumer goods in a 400,000 square foot facility is