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Adeptic AI

AI that works for Manufacturing & Logistics

Orders, quotes and shipping paperwork move between systems by hand, so throughput is capped by headcount in the office rather than by capacity on the floor.

A row of pale oak crates on a cream conveyor plinth with a single terracotta crate among them.

Are these Manufacturing & Logistics challenges familiar?

Orders arrive in every format

Customer purchase orders come as PDFs, spreadsheets and email text, each laid out differently, and every one is typed into the ERP by a person.

Quoting depends on one person

Working out what a non-standard job should cost lives in the experience of someone who has done it for twenty years, and everything queues behind them.

Exceptions consume the day

The routine ninety percent is fine. Chasing the awkward ten percent across suppliers, carriers and customers is what actually fills the office.

What we would look at first.

Order intake. The volume is known, the current handling time per order is easy to measure, and correctness can be checked against the ERP record the same day.

Order intake straight into the ERP

Purchase orders read whatever their layout, matched to your part numbers and pushed into the system, with mismatches raised rather than assumed.

Process Automation

Quoting knowledge made available

A tool built on your own historical jobs and pricing logic that gets a non-standard quote to a defensible starting number without waiting for one person's diary.

Custom Tools & Agents

Exceptions with the context attached

Supplier and carrier correspondence read and summarised into what changed and what it affects, so chasing starts from the facts.

Process Automation

Bring us one manufacturing & logistics workflow that costs more than it should.

Talk to a strategist