AI-assisted dispatch exception management

We catch late, failed and disputed deliveries before the customer calls. A monitoring layer on your dispatch data reads live task, driver and order information, flags the deliveries at risk and proposes the action: reassign, call the customer, hold, escalate or credit.

• An exception taxonomy: the types of delay and failure, with a cost for each.
• Risk rules and signals drawn from your own dispatch history.
• A dispatcher view listing at-risk tasks, the reason and the proposed action.
• An approval log recording who accepted or declined each action.
• An escalation matrix for what goes to operations, finance or the customer team.
• A monthly exceptions report by cause, zone and driver type.

• Your dispatchers find problems before customers report them.
• A decision follows each flag sooner.
• Fewer deliveries need a second attempt, and repeat attempts per hundred deliveries show it.
• Credits and refunds carry a recorded cause, and their cost is reported by cause.

Exceptions are where delivery margin is lost: a missed slot, a second attempt, a refund, a lost customer. Dispatchers find most of them after the customer complains, because the exception list is in their heads and the screen shows only what already failed.

• Customers report late deliveries before your team has noticed.
• Failed deliveries are discovered at the end of the shift.
• The dispatcher at peak hour cannot say which orders are at risk.
• Reassignments are made by instinct and not recorded.
• Credits and refunds are issued with no record of the cause.

Delivery operators and retailers with their own fleets, and groups that manage several carriers and need one view of what is going wrong across them at peak.

At BaladiMart, Qasim Abbas set the capital logic behind a blended last-mile fleet of about 1,000 vehicles, where a second delivery attempt is a direct charge to margin. We start from what an exception costs the group and work back to what is worth detecting.

We work on the dispatch platform the group runs and on your order system. See how fees work.

What do the signals cover?

Live task, driver and order information from your dispatch data.

What does the dispatcher see?

A view that lists the at-risk tasks, the reason for each flag and the proposed action.

What does the monthly report show?

Exceptions by cause, zone and driver type, with the cost of each type of exception.

Say how many deliveries you run on a peak day and how exceptions are found now. We sketch what the dispatcher's screen would show.