Executive AI transformationfor transport and logistics.
For hauliers, third-party logistics providers, freight forwarders and distribution businesses. Where AI creates value when margin per move is thin — and what has to change before it shows up in cost per drop rather than in a pilot.
For businesses that move, store and deliver goods for others.
Margin per move is thin and the cost base keeps rising.
The same short list comes up across the sector. And most operators have already bought AI licences without any of it moving — technology without transformation, which is the most common way this money gets wasted.
Labour is scarce and expensive
Drivers, planners and warehouse staff are hard to recruit and costly to lose.
Quoting and tendering is slow
Complex rate requests wait for the few people who can price them properly.
Customer service volume is high
“Where is my order” enquiries absorb a team that could be doing something else.
Empty running destroys margin
Every unloaded mile is cost with no revenue attached to it.
Documentation is heavy
Customs, compliance and proof of delivery paperwork is manual and error-prone.
Claims and invoice queries leak cash
Disputes delay payment and consume commercial time.
Three things we hear in almost every conversation.
In the words people actually use. If none of these sound like you, that is useful to know in the first ten minutes.
“The service desk does nothing but answer ‘where is my order’.”
Contact volume grows with order volume, so growth pushes the cost line up with it.
“We quote off a spreadsheet and hope the margin is there.”
Rates priced from judgement, with no reliable view of what comparable work actually returned.
“Invoices sit disputed for six weeks and nobody chases them.”
Cash tied up in queries that could be resolved against the record in minutes.
Five places where margin is made or lost.
Each one has a different lever. AI is only worth doing where it moves one of them.
Winning the work
Rate requests, tenders, contracts. The lever is win rate and priced margin.
Planning the movement
Load planning, routing, resourcing. The lever is utilisation and empty running.
Executing the move
Driving, handling, delivering. The lever is cost per drop and on-time performance.
Serving the customer
Tracking, exceptions, enquiries. The lever is service cost and retention.
Getting paid
Invoicing, queries, claims. The lever is days sales outstanding and leakage.
The repeatable work that carries the money.
This is the level at which change actually happens. Not “the business” — these processes.
Rate quotation and tender response
Order intake and booking
Load planning and routing
Driver and subcontractor communication
Proof of delivery and exceptions
Customs and compliance documentation
Customer service enquiries
Invoicing, queries and claims
Patterns worth examining, stated as questions.
Whether any of these applies to your organisation is exactly what the paid work establishes. We would rather call these patterns than dress them up as proof.
Rate and tender drafting
Could a first-pass rate response be drafted from the request and comparable past work, for a commercial manager to check?
Customs and compliance paperwork
Could documentation be prepared and checked from the booking, with exceptions raised to a person?
Track-and-trace enquiries
Could routine “where is my order” questions be answered from your own systems, freeing the service team for real exceptions?
Delivery exception handling
Could failed deliveries and discrepancies be triaged and routed automatically to the right owner?
Invoice query resolution
Could disputes be matched against the record and drafted for review, shortening the payment cycle?
Planning support
Could a planner see the cost effect of a change before committing to it rather than after?
Each one is marked for evidence. Research-backed means we see it in the sector. Practitioner-validated means people who do this work have confirmed it. Nothing here is claimed as true of your business until your own people have said so.
Notice what is not on this list: anything that starts with a tool. The question is always which number moves.
The planner and the service desk are where this is won or lost.
Every opportunity above only pays if the work around it changes.
The planner’s role changes
From building plans to reviewing and overriding them. That is a different job with different judgement, and needs supporting.
Exception ownership
When routine service enquiries are handled automatically, what remains is harder. That queue needs an owner and a service level.
Data across systems has to line up
Transport, warehouse and finance systems rarely agree. Reconciling them is often the real first project.
Driver and customer communication rules
What can be sent without a person checking, and what cannot. Decide before rollout.
Commercial discipline on quoting
Faster quotes only help if the pricing discipline holds. Speed without margin control is worse than slow.
The measures change
Not “enquiries deflected”. Cost per drop, empty running, on-time delivery and days sales outstanding.
Numbers already on your operations report.
We set these before anything is built. A baseline taken beforehand is evidence. One reconstructed afterwards is an argument.
Cost per drop or per mile
Fully loaded.
Empty running
As a share of total miles.
On-time delivery
And the cost of failures.
Tender win rate
And margin on won work.
Service contact volume
And handling time per contact.
Invoice query rate
And days sales outstanding.
Claims cost
And time to resolution.
Capacity released
Planner and service hours freed.
You probably already own most of what a first case needs.
Microsoft 365 Copilot for documentation and correspondence. Copilot Studio agents for defined steps such as track-and-trace enquiries or delivery exceptions. Power Platform and Dynamics 365 where the workflow has to change. Azure and your data estate where transport, warehouse and finance data need to reconcile.
We sell none of it, resell none of it and build none of it. Your technology partner does that, and keeps the work.
Every AI programme needs both capabilities. We do the commercial one and never compete for the implementation work.
Forty-five minutes, in the language of cost per drop and empty running.
Executive AI Opportunity Assessment
Where AI could create value in an organisation like yours, and whether it is worth going further.
Executive AI Briefing
One day with your leadership team to agree where to act first, and record why.
AI Accelerator
Thirty days: the work redesigned, the case built in your numbers, the critical piece proven.
Our logistics view is a working model. It gets sharper with every engagement, and we will always tell you which parts are evidence and which are still assumption.
Find out where AI pays in your operation.
Forty-five minutes with your leadership team, and a straight recommendation either way.
Book a free assessment