AI for manufacturers
AI workflows for manufacturers
When the order book is full, someone still has to plan the trucks. We set up tested workflows that work from your records and the rules you already use, and give your team a result they can check before anyone acts.
The repetitive work behind a delivery day
Tasks like these come back every week. They are good candidates for a tested workflow with a person checking the result.
Turning the calendar into a plan
Turning the delivery calendar into a workable plan for the available drivers.
Allocating deliveries to trucks
Deciding which truck takes each delivery, weighing rack space, product load and stop limits.
Ordering routes and times
Putting each route in order and working out arrival times on real roads.
Handling the delivery that does not fit
Spotting the order that will not fit on a truck and handing it to a person to decide.
What we set up
A workspace for your business
Your context, your trusted sources and instructions for repeatable tasks, organised in one place your team can edit.
Starter workflows
Two agreed workflows to begin with, such as a delivery planning workflow and a check that every order is accounted for.
Self-guided lessons
Practical lessons inside the workspace, so your team can practise on real tasks, check the output and learn when to ask for help.
Human approval
Each workflow has a named person who checks the result before anything is sent or acted on.
Where we’ve done this
Client example · Window manufacturing
The calendar is full. Now plan the trucks and routes.
A window manufacturer supplying carpenters and small installation firms wanted the delivery calendar turned into a workable plan for its available drivers. Their routing tool could order one route, but a person still decided which truck took each delivery, in what order and when it left.
We built a setup in three parts. The AI assistant is configured to run the agreed tools from a plain-English request and explain status and warnings. The planning software reads a local calendar export, works out each truck’s load, assigns deliveries to trucks and orders each route on a local road map. Customer addresses stay on the planning computer. People check the detailed workbook locally, resolve exceptions and approve the plan before anyone acts.
The output is each truck’s load, stop order and arrival times on real roads, plus a visible list of exceptions. An order that does not fit is flagged for review, never split or squeezed in.
You can click through the interactive example on the home page. It uses six fictional orders and two trucks, and it runs no AI or routing engine.
The pattern goes beyond deliveries. Start with trusted records, apply the business rules, then give your team a result they can check.
How it works
A defined scope makes the result easier to assess and the handover easier to run.
- Map. Choose the workflow, authoritative inputs, responsible people and desired outcome.
- Define. Agree systems, access, approval points, exclusions and acceptance criteria.
- Build & check. Tailor the workspace and test normal work, missing information and the agreed failure cases.
- Hand over & adopt. Give a brief orientation, leave practical lessons and record acceptance. Adoption support stays within the agreed scope.
Setup options
Choose one option. Fees are confirmed after your discovery call, and your proposal confirms one total for the agreed package.
Foundation
Your first repository, set up and connected, with two agreed workflows operated by your team, practical lessons and a tested handover.
Connected
Four agreed workflows in total, connected to the supported systems, with input and output checks and approval steps.
Operations
Six agreed workflows in total, with scheduling, queues and human approvals where feasible. Feasibility is assessed first.
Questions
Does the AI decide the routes?
What happens to an order that does not fit?
Where does customer data go?
Is this only for deliveries?
Start with the work.
Email Don with a repeatable task that slows your team down. We’ll discuss a useful first workflow and a scope you can assess before you commit.