AI automation for logistics and delivery companies
A delivery operation does not usually fail on the road. It fails in the hour before the vans leave, when someone is rebuilding the rota because two drivers called in, checking whether a licence expired last week, and copying yesterday's numbers into a spreadsheet. That is the work automation and custom software can take off you.
The jobs that eat a depot's morning
Every operation I have seen, mine included, loses time to the same handful of things:
- Rebuilding the daily deployment. Matching drivers to routes and vans, then redoing it when someone does not show up, usually in a spreadsheet that only one person understands.
- Chasing vehicle checks. Walkaround checks that were not submitted, photos sent to a phone instead of a system, and damage nobody reported until the lease company found it.
- Watching expiry dates. Driving licences, DVLA checks, insurance, right to work, training. All with different dates, all a serious problem the day one lapses unnoticed.
- Rebuilding the same report. Performance numbers pulled from one portal, hours from another, and both retyped into a sheet so someone can see the week.
- Fines, charges and reconciliation. PCNs, congestion and ULEZ charges, fuel, and matching them back to the right driver and the right day, weeks after it happened.
- Onboarding a new driver. The same documents collected, checked and filed by hand, every time, while the route is already short.
What automation can take off your team
None of this is exotic. It is mostly software doing the remembering and the copying so people do not have to:
- One deployment view. Drivers, vans and routes for the day in one place, so a change at 05:40 does not mean rebuilding a spreadsheet from scratch.
- Checks that chase themselves. The vehicle check goes out to the phone, the missing one is flagged before the van moves, and nobody has to notice.
- Expiry dates that warn you early. Every document tracked with its own date, with the warning arriving weeks ahead rather than on the morning it matters.
- Reports that build themselves. Pull the numbers once, automatically, into the view you actually use, instead of a Monday spent retyping.
- Systems joined up. Telematics, your transport system, the rota and the compliance records talking to each other, so one fact is entered once.
I built DSPOps, an operations platform for Amazon delivery partners. It handles drivers, rotas, compliance, vehicle inspections and daily operations in one place, and it includes an AI check that scans the van photos drivers submit and flags damage automatically. It is live and in daily use, not a prototype. You can see it at dspops.app. Before that I ran a logistics company for six years, which is where the list above comes from.
Where AI genuinely helps, and where it does not
Logistics attracts more AI marketing than almost any other sector, so it is worth being blunt about the difference.
AI is worth it where a person is looking at something and making a judgement over and over. Scanning van photos for damage is a good example, because it is repetitive, visual, and a human doing it at volume gets tired and starts missing things. Reading a delivery document and pulling the details out is another.
AI is usually the wrong tool for the jobs depots complain about most. Knowing that a licence expires on the 14th is a date in a database, not a prediction. Assigning a driver to a route is a rule you already follow in your head. Sending a reminder is a reminder. If someone quotes you for AI to do those, you are paying a premium for a feature you do not need, and taking on something harder to trust and harder to fix.
I will tell you which of your problems is which before you spend anything. Quite often the honest answer is that plain software solves it, faster and cheaper.
Off-the-shelf, or built for your operation
There is good transport software on the market and I will say so when it fits. Buy it when your process is genuinely standard, and when the thing you need is a solved problem like tracking or route planning.
Build when the opposite is true: when your operation has a shape the products do not have a box for, when the workaround has become a spreadsheet the whole depot depends on, or when you are paying per seat for a system your team only uses a tenth of. Custom does not have to mean a platform. It is often one screen that replaces three, built around the way your depot already runs, connected to what you already pay for. You own the code either way.
How I would work with your depot
- Watch a morning. A free workflow audit, aimed at the hours around dispatch, because that is where the time goes.
- Map what really happens. Including the WhatsApp group and the sheet nobody mentions in meetings, since that is usually where the real process lives.
- Build the one thing that hurts most. Fixed price, one job, connected to the systems you already run.
- Put it in front of drivers early. If it does not work on a phone in a yard at six in the morning, it does not work.
Get your mornings back
Book a free 30-minute workflow audit. Tell me what your dispatch hour looks like and I will tell you honestly what is worth automating, what is not, and roughly what it would take. You leave knowing what to do first, whether we work together or not.
Book a free workflow auditCommon questions
Have you actually worked in logistics, or just built software for it?
Both. I ran a logistics company for six years, so I have done the rota at six in the morning and chased the missing vehicle check myself. I also built and still run DSPOps, an operations platform built for Amazon delivery partners. That combination is the reason I do not need a three-week discovery phase to understand what a depot morning looks like.
Does the AI part actually do anything, or is it a label?
On DSPOps there is one AI feature and it earns its place: it checks the van photos drivers submit and flags damage automatically, so a person is not scrolling through hundreds of images looking for a scuff. Everything else in the platform is ordinary software doing ordinary work reliably. I would rather tell you that than dress the whole thing up as AI.
We already use a transport management system. Do we have to replace it?
No, and you usually should not. Most depots do not have a missing-system problem, they have a nothing-talks-to-each-other problem: the TMS, the telematics, the rota spreadsheet, the compliance folder and WhatsApp all hold part of the picture. The useful work is joining those up so the same information is not entered three times, and building only the piece that genuinely does not exist.
Can this handle drivers who are not sitting at a desk?
It has to. Anything a driver touches needs to work on a phone, in a hurry, sometimes with one bar of signal. In practice that means short forms, photo capture, and no expectation that anyone reads an email during the day. The office side can be as detailed as you like, the driver side cannot be.
What does a project like this cost, and how long does it take?
The first call is free. After that there is a consultation fee for the session where we go through the actual work, and you come out of that with a written plan and one fixed price for building it. For a depot the sensible first project is one job, usually the daily deployment or the compliance expiry tracking, rather than a whole platform. That keeps the first piece small enough to prove itself before you commit to more.