BMA Transport: AI Route and Load Optimisation for a UK Distribution Operator
How The AI Consultancy group designed an AI-assisted route and load optimisation approach for BMA Transport Ltd, a UK distribution operator, to replace manual route planning.
- Client
- BMA Transport Ltd
- Sector
- UK transport and logistics
- Service used
- AI Workflow Automation
- Delivered by
- The AI Consultancy group

Client: BMA Transport Ltd (a UK distribution operator) Sector: Transport and logistics, newspaper distribution Delivered by: The AI Consultancy group Manchester relevance: The same AI workflow automation methodology is available from our Manchester office.
At a glance
- Manual route planning was consuming 20 to 25 hours a week before the engagement
- The group designed an AI-powered route and load optimisation system architecture on AWS to plan routes automatically rather than by hand
- The approach was projected to cut route planning time by 50 percent and improve fuel efficiency by 20 percent
The problem
BMA Transport, a UK newspaper distribution company, was spending 20 to 25 hours a week on manual route planning. Late deliveries, fuel inefficiency, and excessive driver overtime were eating into profit. The business needed to modernise its operations and reduce the time and cost tied up in planning routes by hand.
What The AI Consultancy group delivered
The group designed an AI-powered route and load optimisation system architecture on AWS, covering the compute, machine learning, and data components needed to plan routes automatically rather than by hand. The design accounted for delivery windows, vehicle capacity, and route efficiency, so that planning could move from a manual weekly task to an automated one.
Alongside the operational design, the group advised on the company's funding structure and prepared HMRC-compliant technical documentation to support an R&D tax credit claim on the qualifying development work.
The outcome
The AI route and load optimisation work was projected to cut route planning time by 50 percent and improve fuel efficiency by 20 percent, addressing the 20 to 25 hours a week previously lost to manual planning. The company finished the engagement with a route optimisation architecture ready to build and a structured plan for its technology investment.
How this applies to your Manchester business
This engagement was delivered by The AI Consultancy group, and it shows how AI can take on a repetitive, time-consuming operational task for a logistics SME. The same capability is available from our Manchester office.
If manual planning or admin is consuming staff time in your business, our AI Workflow Automation Manchester service is the natural starting point.