An AI watchdog on logistics: 97% on-time delivery

Five disconnected tools, routes planned by hand, and customers finding out about delays before the dispatcher did.

A logistics operator ran its days on five tools that did not talk to each other, plus a whiteboard. Routes were planned from experience. When a delivery slipped, the customer usually knew before the office did — because the customer called.

One platform, one watchdog

We consolidated planning, tracking and billing into one platform, then put an agent on watch. It optimises the routes each morning, tracks execution against the plan during the day, and raises a flag the moment reality drifts: a late departure, an impossible slot, a truck routed past traffic it should avoid.

The dispatcher stays in charge — the agent proposes, a human disposes. But the human now reacts to exceptions instead of hunting for them across five screens.

What it changed

→On-time delivery: 97%
→Fuel costs: -22%
→Admin time: -65%
→Five tools replaced by one platform they own

Operations rarely need more dashboards. They need someone — or something — watching the dashboards at all times, and the humility to route every judgment call to a human. That combination is what a watchdog agent is.