AI automation for logistics companies
We automate transport admin, delivery paperwork and customer updates, then manage the IT and connectivity your depots and teams rely on.
Transport teams repeatedly move the same information between inboxes, spreadsheets, transport management systems and customer portals. Booking references arrive by email. Delivery notes and signed proof of delivery come back as PDFs, scans or phone photos. Staff then rename files, match them to loads, update job records and answer requests for copies. When paperwork is incomplete, invoicing waits while someone chases a driver, depot or subcontractor.
Distribution brings another layer of manual coordination. Teams reconcile pallet movements, check failed-delivery notes, compare subcontractor invoices with agreed rates and send ETA updates from telematics data. Warehouse and transport records can disagree, leaving staff to investigate quantities, addresses and collection times. We automate these defined steps around the systems you already use, then support the service each month so it keeps pace with your operation.
Where the time goes
Chasing delivery paperwork
Signed delivery notes return through driver apps, email, depot scanners and phone photos. Office teams identify the job, check missing signatures or references, rename the file and attach it before invoicing can continue.
Re-keying booking details
Collection addresses, delivery windows, consignment details and booking references arrive in emails or customer portals. Staff copy them into the TMS, then correct avoidable errors when formats or instructions differ.
Updating every exception
Traffic delays, failed deliveries and changed collection times trigger repeated checks across telematics, driver messages and the TMS. Staff then write individual updates for customers, depots and account teams.
Reconciling charges and pallets
Teams compare subcontractor charges, waiting time, fuel surcharges and agreed rates against completed jobs. Pallet balances and discrepancies often sit in separate spreadsheets, creating another round of checking and follow-up.
What we’d build
Proof of delivery processing
We build a workflow that reads incoming delivery documents, extracts job references, dates and signatures, flags missing fields, names each file consistently and attaches it to the correct transport record for review.
Automated booking intake
An intake agent reads approved booking emails and documents, structures collection and delivery details, checks required fields, and prepares records for your transport management system instead of relying on repeated re-keying.
Controlled exception updates
We connect agreed TMS and telematics events to controlled customer updates. The workflow drafts or sends ETA changes, failed-delivery notices and exception alerts, while routing unusual cases to the responsible employee.
Invoice and pallet checks
We automate comparisons between job records, agreed rate cards and subcontractor invoices, then flag mismatches for approval. A separate reconciliation workflow can track pallet movements and surface unexplained balance differences.
Keep every depot connected
Automation depends on reliable depot networks, secure access and systems that stay available across office, warehouse and mobile teams. Wanzo can manage Microsoft 365, Azure, cybersecurity and connectivity alongside the AI service. We monitor the underlying technology 24/7, with a four-hour response commitment and business connectivity covered by a 99.9% uptime SLA.
Questions people ask
How can AI automate transport administration?
AI can read approved booking emails and documents, extract consignment data, prepare TMS entries, classify delivery paperwork and route exceptions to the right employee. It can also draft ETA updates from agreed telematics or status events. We start by mapping one defined workflow, including approval points and failure cases. That keeps the automation focused on repetitive transport administration rather than giving an AI system broad control over your operation.
Can AI integrate with our transport management system?
Often, yes, but the method depends on the product, version and access your supplier provides. We review available APIs, exports, email workflows and approved integration options before defining the build. Where a direct connection isn't suitable, controlled document or data exchange may still remove re-keying. We won't claim compatibility until we've checked your TMS, warehouse system, telematics platform and customer portal requirements.
Can AI process proof of delivery documents?
Yes. A document workflow can collect signed delivery notes and proof of delivery from approved inboxes or storage locations, extract job references and dates, check for required signatures, and flag unreadable or incomplete files. It can then apply a consistent filename and prepare the document for the correct job record. Exceptions stay with an employee, so damaged scans and uncertain matches aren't silently accepted.
How much does logistics AI automation cost?
AI Starter begins at £495 a month and suits a focused workflow such as booking intake or delivery-document processing. AI + Managed IT starts at £1,250 a month and combines automation with support for the technology it relies on. AI Transformation begins at £2,950 a month for broader operational change. The right tier depends on workflow volume, system access, exception handling and the number of processes covered.
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