AI support desk for carriers and logistics providers
A carrier’s client questions are massively repetitive: where is my freight, what time is delivery, resend the POD. The agent answers them alone by reading your TMS, and passes real disputes to operations.
In your day-to-day
- 01
Immediate answers to tracking requests with the route’s real status, without an operator picking up.
- 02
Sending the POD or consignment note on simple client request, in the right format.
- 03
Damage or shortage dispute: pre-qualified file (photos, references, timeline) handed to operations.
A typical scenario
A 60-employee pallet network depot delivers 400 consignments a day. Its two dispatchers spend part of every morning on the phone answering “where is my pallet” while real incidents wait.
- 01
From 7:30 AM, the agent answers inbound tracking requests on its own — email and web form — by reading TMS statuses: collected, at dock, out for delivery, delivered at such time.
- 02
A consignee reports damage: the agent requests photos, the consignment reference and the reservations noted on the delivery receipt, then opens a pre-filled dispute file.
- 03
At end of day, it pushes to dispatch the list of requests it could not handle, each with the full exchange history and its recommendation.
What changes
The dispatch phone becomes an exception channel again: status requests resolve without anyone picking up, and disputes arrive already documented instead of being retyped three times.
Order of magnitude
Working assumptions
- →around 80 client requests a day, three quarters of which are simple status or document requests
- →4 minutes per call or email handled manually by a dispatcher
In the order of 60 requests a day absorbed without intervention — roughly 4 dispatcher hours freed daily, the equivalent of a half-time position redirected to real incidents.
Indicative estimate built on average sector assumptions — it gets recalibrated on your actual volumes during scoping.
What eats your days
- →
The operations inbox receives hundreds of messages a day — urgent pickups, PODs, claims — drowned in internal coordination.
- →
Freight receivables pile up because collection always comes after operations.
- →
A route going wrong at 5 AM is only seen at office opening — after the first client calls.
How it works
- 1
The agent learns your business
It is fed your real sources: FAQ, documentation, ticket history, business rules. It only answers what it can source — no improvising.
- 2
Autonomous resolution, fenced
Recurring requests — tracking, invoices, procedures — are resolved end to end. Anything outside the fence goes to the human queue with a sourced draft reply already written.
- 3
Supervision and continuous improvement
Every conversation is reviewed by our engineers in the first weeks. The autonomous-resolution rate rises as the agent earns reliability — never the other way round.
Typical results
60%
of tickets resolved with no human involved, observed in production
3 min
first response, 24/7
×3
handling capacity for the same team
Orders of magnitude observed in production; your diagnostic sets your own baseline and targets.
Frequently asked questions
Can the agent read our TMS to give real status?+
Yes, that is the whole point: it reads your TMS read-only and answers with the current status, not a generic formula. Where integration is impossible, it works from existing exports or notifications.
What does it do with a client angry about a delay?+
It gives the factual information available, never promises a slot it cannot guarantee, and hands over to an operator with context as soon as the exchange turns sensitive.
Is this the problem eating your team’s time?
Tell us how you work today — 30-minute call, then a free written diagnostic of what this agent would change for you, with numbers.
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