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Logistics · AI agents

AI agents that work for your planners, not instead of them

A late supplier, a changed order, a driver calling in sick: every exception touches the plan. Our agents take the first pass. They read the exception, run the optimiser, propose a fix and explain why. Nothing changes until the planner approves.

AI agents · 1 min

The problem

An inbox of exceptions, and only one planner

A planner's day is full of exceptions: suppliers running late, customers changing orders, drivers calling in sick. Each one ripples through the plan, and each one arrives by email or phone while the last one is still being fixed.

The cost is planner time spent on routine fixes, exceptions handled late or not at all, knock-on effects nobody had time to check, and customers informed too late.

Exceptions all day long

Late goods, changed orders and absent drivers arrive faster than one person can work through them.

Every fix touches the plan

Moving one delivery changes routes, loads and windows elsewhere, and checking that by hand takes time.

Messages still to write

After every change, customers and drivers need to hear about it, which is more routine work for the planner.

How we solve it

The agent proposes, the planner decides

An agent reads each exception as it arrives, runs the same optimiser as your planning, and proposes a fix with the reason in plain language. The planner approves, adjusts or rejects it; only then does the plan change and the messages go out.

What goes in

  • Exceptions from email, phone notes and your systems
  • The current plan: routes, loads and time windows
  • Your rules and the planner's earlier decisions
  • Driver, vehicle and customer details

Constraints handled

  • Nothing changes without the planner's approval
  • Every proposal respects the same rules as the plan
  • Each proposal comes with its reason, in plain language
  • A full log of what was proposed, approved and changed

What the planner sees

  • One proposal per exception, with its effect on the plan
  • Approve, adjust or reject in one step
  • Adjust a proposal, and the agent replans around that choice
  • A draft message to the customer, ready to send
Results

Measured on your exceptions, not promised up front

We do not quote time savings before we have seen your exceptions. In a shadow run, the agent proposes fixes for real exceptions next to your planners, who compare its proposals with what they did, without anything going live.

These are the measures a shadow run compares. Outcomes depend on your exceptions, rules and data, and are not guaranteed. The planner approves every change.

Planner time per exception
Measured in the shadow run
Proposals accepted as they are
Counted by your planners
Exceptions handled the same day
Compared with today
Next step

Bring one planning problem to a working session

Tell us where planning hurts today. In one session we map it to the modules that fit, and what a shadow run on your data would look like.

Contact us

Schedule an appointment

Real-time availability. Instant Teams invite.

  • Direct with our engineers
  • Cancel or reschedule any time
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