AI for logistics companies: fewer calls, fewer claims.

It’s often the first thing to automate. Your customers send pickup requests in every possible form: plain text in an email, a PDF, an Excel sheet, sometimes a scanned form. AI reads each request, extracts the shipper, consignee, addresses, pallet count, weight, time slots, and constraints (liftgate, appointment, hazmat), then creates the order in your TMS.

Anything outside the rules is flagged instead of entered: an incomplete address, an impossible time slot, an unknown customer, a weight that doesn’t add up. At first, dispatch approves every order. Later, clean orders can go through on their own.

Customers who use EDI or your portal don’t have to change a thing. It’s the same business process automation with AI used for customer orders, applied to freight order entry.

“Where’s my delivery?” is the most common question at any transportation customer service desk. The answer already exists, in the TMS, the driver’s app, or the visibility platform. Someone just has to look it up.

The tool handles it, by email, by chat, or over the phone with an AI receptionist:

• it finds the order from a number, a name, or a customer reference;
• it gives the status, the ETA, and, once delivered, the proof of delivery;
• it tells the customer about a delay as soon as it shows up in your data, instead of waiting for them to call.

An unusual request, an unhappy customer, or a delivery with an exception goes to someone in dispatch, with the history already pulled together.

A claim is won or lost on a document. The tool reads every CMR (the consignment note used for road freight in Europe) and every signed receipt, files it to the right order, and spots any exceptions written by the consignee: damaged or missing packages, late delivery. Dispatch is alerted right away, not three weeks later when the invoice is disputed.

When a claim opens, the file builds itself: order, POD, exceptions, photos, customer correspondence. Your team reviews it and decides what’s next.

On the purchasing side, invoices from carriers and subcontractors are matched against orders and agreed rates. Price discrepancies, detention charges, or trips billed twice go to a person. The rest goes through, and customer billing no longer waits for everything to be checked off by hand.

Off-the-shelf TMS software already works out routes from addresses and constraints: AI doesn’t need to redo that math. It works before and around it. It pulls together the day’s orders, promised time slots, and available vehicles and drivers, flags what’s missing, then prepares a draft plan for the dispatcher to adjust. Their knowledge of tricky docks and demanding customers stays at the center.

The tool doesn’t replace your dispatchers or your customer service team. It takes away the retyping and the searching, the busywork that seems harmless until a time-slot mistake costs an empty run. Each task is set separately, with approval or on its own, and you can take back control in one click. Do you mostly deliver your own goods? AI for distributors starts from the customer order.