A dispatcher is paid to plan routes, allocate capacity and decide how to handle exceptions. A typical working day often looks different.
At 8:17, an order arrives as a PDF attachment without an unloading location. At 8:42, someone asks sales whether the customer needs a tail lift. At 9:06, a vehicle status is missing, prompting a phone call. At 9:31, approval is held up because a reference number does not match the TMS entry.
These tasks prepare a decision: searching, checking, asking and sorting. We call this additional, often invisible work the clarification burden. In many haulage businesses, it consumes a substantial part of the day of highly experienced operational staff.
Why the cost is easy to miss
Clarification work has no cost centre of its own. It is spread across emails, PDF attachments, Excel comparisons and phone calls. It is rarely addressed because it is everywhere and appears to be part of the job.
The costs are real. Each clarification interrupts planning. Decisions happen later, under greater time pressure. People who should be managing operations spend their time gathering and typing information.
Where AI can help
The dispatcher still decides whether to accept an order, change a route or escalate an exception.
AI can prepare the work leading up to that decision: identify missing details in order PDFs, group follow-up questions, combine status information from different sources and organise exceptions so they can be assessed more quickly.
A first component can be introduced where clarification work can already be observed: in an inbox, for one document type or for a recurring question. This offers a practical way to see whether AI makes the work easier.