AI for logistics and transport firms: what to automate first in 2026
Short answer
A UK haulier, courier or freight forwarder should automate proof of delivery capture first in 2026, then "where is my delivery" replies, quote requests, driver document checks and invoice matching, inside its existing TMS. The government's 2026 AI adoption survey found 24% of transport and storage businesses use AI, up from 7% in 2025. DfT found 26% of HGV businesses reported driver vacancies in the last quarter of 2025. VAT invoices must be e-invoices from 1 April 2029.
Deniz SancarFounder of Yarigai, London. Updated .
Yarigai is a done-for-you AI agency that builds these systems, so read this with that in mind. Every price and figure links to its source below. Read this page as Markdown.
At a glance
| Workflow | What it does | Tools it connects | What stays human |
|---|---|---|---|
| Proof of delivery capture | Reads POD photos and signed delivery notes, attaches each to its job, flags missing, unsigned or damaged deliveries | Driver app, TMS, email | Damage disputes and claims |
| "Where is my delivery" replies | Answers status queries from the TMS and telematics ETA by email, web chat or phone | TMS, telematics, email, web chat | Failed or late deliveries, complaints |
| Quote requests | Reads quote emails, pulls out collection, delivery, pallets, weights and dates, prices them from the rate card | Email, rate card, TMS | The final price, non-standard and dangerous goods loads |
| Job booking from emails | Turns customer booking emails and spreadsheets into TMS jobs and checks each field | Email, TMS | Exceptions and new customers' terms |
| Driver document compliance | Tracks licence checks, Driver CPC hours, tachograph card expiry and download dates, chases drivers | HR records, tachograph analysis software, DVLA check codes | Whether a driver may drive, any infringement action |
| Invoice matching | Matches PODs to sales invoices, and subcontractor and fuel invoices to jobs | TMS, Xero or Sage, email | Approving payments and credit notes |
The driver compliance row follows the DVSA's rules for goods vehicle operators on GOV.UK (source 5).
Proof of delivery and paperwork capture
Proof of delivery capture is the first build for most firms, because every job ends with paperwork and a missing or unreadable POD holds up the invoice. The driver photographs the signed delivery note or completes the ePOD in the driver app. The AI reads the consignee's name, whether there is a signature, the date, the pallet or parcel count and any damage note. It matches the POD to the job number and attaches it to the job in the TMS.
Anything that does not match goes to the office the same day, such as an unsigned note, a short count or "received damaged" written on the paper. The same build can read collection notes, CMR consignment notes and customer booking sheets.
The sector is starting to invest in this kind of system. Logistics UK's Logistics Report 2026, published 3 June 2026 and reported by MHW Magazine, found 52% of respondents expect to invest in order processing, inventory and supply chain data systems, and 50.7% in transport planning and route optimisation. The report puts the sector at £175 billion a year in gross value added and 8% of the UK workforce.
Worked example for POD to invoice
These figures are assumptions, so swap in your own.
- Assume a firm runs 3,000 deliveries a month and office staff spend 3 minutes on each POD, checking it, attaching it to the job and releasing the invoice.
- That is 3,000 × 3 = 9,000 minutes, or 150 hours a month.
- Assume the AI clears 80% of PODs without a person touching them, saving 120 hours a month or 1,440 hours a year.
- At an assumed staff cost of £15 an hour, 1,440 hours is £21,600 a year.
- Model usage at an assumed 1,500 input tokens (the photo and the job record) and 300 output tokens per POD on Claude Sonnet 5.5 ($2 and $10 per million tokens) is about $0.006 a POD, or $18 for 3,000.
The larger gain is often cash flow, because invoices go out on the day of delivery instead of when the paperwork reaches the office.
"Where is my delivery" queries and quote requests
Customer status queries and quote requests arrive every day, and the answers to both sit in the firm's own systems.
"Where is my delivery" replies
The build answers status queries by email, web chat or phone from the job status in the TMS and the vehicle's ETA from telematics. It gives the customer the same answer a planner would, with the booked window and the latest ETA. A late or failed delivery, a complaint or a customer threatening to cancel goes to a person straight away.
Late deliveries are common enough to plan for. DfT's survey of HGV businesses found that, of those with driver vacancies, 23% missed deliveries in the fourth quarter of 2025 because drivers were not available. A build can warn customers about a late delivery before they ask.
Quote requests
A quote build reads each request from the inbox, pulls out the collection and delivery postcodes, pallet count, weights, dates and any special requirements, and prices it from the firm's rate card. A planner checks and sends the quote. Non-standard loads, dangerous goods and new customers always go to a person.
The same build can flag requests that fit an existing route. DfT's domestic road freight statistics show that in the 12 months to June 2026, GB-registered HGVs ran empty for 29% of the distance they travelled, so a request that matches an empty return leg is worth a fast reply.
Driver document compliance
Driver compliance is date tracking and chasing, which software does well, while the decision on whether a driver may drive stays with the transport manager. The rules on GOV.UK give the dates a build needs to track:
- Driver cards. Operators must download driver cards "at least every 28 calendar days".
- Vehicle units. Operators must download vehicle unit data "at least every 90 calendar days".
- Checks and records. Operators must "Make regular checks of charts, manual records and digital data to ensure compliance" and "Be able to produce records to enforcement officers for 12 months".
- Driver CPC. "You must do 35 hours of periodic training every 5 years", and drivers can be fined up to £1,000 for driving professionally without Driver CPC.
- Licence checks. A driver can create a DVLA check code to share their licence record, and the code is valid for 21 days.
A compliance build keeps a calendar for every driver and vehicle, sends reminders before each download or expiry date, asks drivers for a fresh check code before the next licence check and files what they send. It produces a weekly exception list for the transport manager. Infringements, disciplinary action and the decision to take a driver off the road stay with people. Driver records are personal data under UK GDPR, so they stay in the firm's own systems.
Invoice matching and e-invoicing from 2029
Invoice matching suits AI because every invoice should tie to a job, a POD and a rate, and a mismatch is easy to flag once the data sits in one place. On the sales side, the build checks each invoice against the job, the POD and the agreed rate before it goes out. On the purchase side, it matches subcontractor invoices, fuel card statements and tolls to jobs and vehicles, and flags anything without a match. A person approves every payment and credit note.
The rules are changing. The HMRC and Department for Business and Trade roadmap, published 28 October 2026, says "From 1 April 2029, VAT invoices will have to be issued as e-invoices" and "Peppol will be the UK's core interoperability framework." A matching build that already reads structured invoice data needs less rework when the mandate arrives. The AI document processing guide covers invoice reading accuracy and where people still check.
Which TMS tools an AI build works with
Mandata, one UK TMS, offers a Manifest driver app for job updates and PODs, a ManifestPlus app for customer ETAs and electronic PODs with email invoicing. It says it has open integrations with third-party software. Other TMS and ePOD tools differ, so confirm API access with the vendor before a build is scoped. Where a TMS has no open API, a build can start from its email notifications and exports.
What AI costs a logistics firm
A single automation, such as POD filing, costs from £1,500 to build on one London agency's 2026 price list, and an invoice extraction workflow from £4,500, plus monthly fees. The table uses Softomate's list, updated 1 October 2026.
| Build | Setup from | Monthly from |
|---|---|---|
| Simple automation, for example POD to TMS | £1,500 | £99 |
| Invoice extraction and workflow | £4,500 | £299 |
| Quotation automation (first phase) | £5,000 | £399 |
| Custom chatbot with CRM integration, for status queries | £6,500 | £399 |
| Controlled AI agent | £6,500 | £399 |
| Bespoke AI voice agent, for phone status queries | £8,000 | £499 |
These are one agency's "from" prices before VAT, with platforms and usage billed on top. No independent survey of UK AI build prices exists. Model usage is the smallest line. At about $0.006 a POD on Claude Sonnet 5.5, 10,000 PODs a month cost about $60.
The guides to AI agent costs and AI chatbot costs in the UK compare more price lists and running costs.
How Yarigai builds this for logistics and transport firms
Yarigai is a done-for-you AI agency in London. It builds document reading and filing, inbox triage, support agents that answer from a client's own records, invoice chasers, receipts into Xero or QuickBooks and internal tools that replace spreadsheets. For a transport firm, it builds them inside the firm's own TMS, inboxes and accounts. The firm owns the code, the data and the accounts from day one, and there is nothing to sign up for.
A project starts with a free 30-minute scope call on Google Meet, and the firm keeps the notes whether it hires Yarigai or not. A blueprint of about a week, credited to the build, sets out a written plan, a clickable prototype, the monthly running cost, a fixed price and the payback maths. The build takes 2 to 6 weeks with a demo of working software every week. A single workflow, such as POD capture, can go live in about two weeks.
A person approves anything that sends money, emails a customer or deletes data. AI and hosting bills are paid by the firm at cost, and the monthly running cost is on the quote. Yarigai's guarantee is one sentence: "If the build isn't profitable for you, we won't build it."
Yarigai has no published logistics case study. Its operations and finance automation work is described on the services pages.
Common questions
Can AI read proof of delivery photos?
Yes. A build can read the consignee's name, the signature, the date, the count and any damage note from a photo of a signed delivery note, then attach it to the job. Unsigned notes, short counts and damage notes go to a person the same day. Model usage is about $0.006 a POD on Claude Sonnet 5.5, on stated assumptions.
Can AI answer "where is my delivery" emails and calls?
Yes, when it can read job status from the TMS and the ETA from telematics. It gives the booked window and the latest ETA, and hands late or failed deliveries and complaints to a person. Phone queries need a voice agent, which costs from £8,000 to build on one London agency's 2026 list.
Does AI work with my TMS?
It depends on the TMS. Mandata says it offers open integrations with third-party software, and other vendors differ, so confirm API access before a build is scoped. Where there is no open API, a build can start from the TMS's email notifications and exports.
Can AI keep track of tachograph downloads and driver licence checks?
It can track the dates and chase drivers. GOV.UK says operators must download driver cards at least every 28 calendar days and vehicle units at least every 90, and a DVLA licence check code lasts 21 days. The transport manager decides whether a driver may drive.
What does mandatory e-invoicing in 2029 mean for a haulier?
The HMRC and Department for Business and Trade roadmap says VAT invoices will have to be issued as e-invoices from 1 April 2029, with Peppol as the UK framework. A firm that already matches invoices to jobs and PODs in structured data will need less change to its invoicing.
How much does AI cost for a haulage firm?
On one London agency's October 2026 list, a simple automation costs from £1,500 plus £99 a month and an invoice extraction workflow from £4,500 plus £299 a month. Model usage is small, at about $0.006 per POD on Claude Sonnet 5.5.
Sources
Checked on or before 7 November 2026. Prices change, so check the live page before you decide.
- Heavy goods vehicle driver vacancies in the United Kingdom: 2025, Department for Transport, published 27 May 2026.
- Domestic road freight statistics, United Kingdom: July 2025 to June 2026, Department for Transport, updated 4 November 2026.
- Logistics sector hailed as 'engine room' of UK economy amid global disruption, MHW Magazine on Logistics UK's Logistics Report 2026, published 6 June 2026.
- Artificial intelligence adoption research 2026, Department for Business, Innovation, Science and Trade, published 29 October 2026.
- Drivers' hours and tachographs: goods vehicles, responsibilities of vehicle operators, Driver and Vehicle Standards Agency on GOV.UK, updated 1 July 2026.
- Driver CPC training for qualified drivers, GOV.UK, checked 7 November 2026.
- View or share your driving licence information, GOV.UK, checked 7 November 2026.
- Roadmap for e-invoicing implementation, HM Revenue and Customs and Department for Business and Trade, published 28 October 2026.
- Products, Mandata, checked 7 November 2026.
- AI Automation Pricing for UK Businesses: What Every Service Costs and What ROI to Expect in 2026, Softomate, updated 1 October 2026.
- Claude pricing, Anthropic, checked 7 November 2026.
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Book a free 30-minute scope call. If the build isn't profitable for you, we won't build it.