AI in logistics: where it’s real and where it’s noise

The most common misconception about AI in logistics is that it’s a magic button. If it were, the average operator’s day would look very different two years into the AI wave. But it doesn’t, and the portal-hopping, the chasing, the manual reconciling are mostly still there. That gap, between the noise about AI and the reality on the operations floor, is worth being honest about, because it shows where AI has created real value and where it’s still just noise.

First, AI is real in the boring work. It helps most when it takes repeatable, daily work off the operator. Freight runs on messy documents that aren’t designed for machines to read: the PDFs, rate sheets, and carrier contracts that come in every format, each with its own rules. AI is very good at reading that mess and turning it into something a tech system can act on. One shipper we worked with was receiving freight invoices from 9 different carriers in more than 100 formats. Even the same carrier office would send invoices in different formats. Once we read them automatically, 55% showed discrepancies against freight agreements and actual container movements. Finding these discrepancies with AI is where the real impact comes from. People are one of the biggest costs in a forwarding business, so every hour saved from manual reconciliation and every overcharge caught before it’s paid shows up directly on the P&L.

This story was originally published by The Loadstar. Read the full story at The Loadstar →