3 sourced AI use cases from firms of 10 to 200 people.
Paper products manufacturer
Takes incoming orders, current capacity and constraints and generates the production schedule overnight, updating it through the day. The operations team used to spend each morning doing this by hand.
Result Planning time: From 8 hrs/day to under 2 hrs/day. Total annual impact: £30,000–£37,500.
Not statedUK
Flat-pack furniture panel manufacturer
Takes customer orders, material specs and waste constraints and produces optimised cutting plans in minutes. It sits on top of the existing order system and spreadsheets.
Result Cut a full-month cutting optimisation process down to under 30 minutes, reduced material waste by 8%, and recovered 10+ hours a week of management time — a confirmed annual saving of over £14,000.
Not stated (supplier says its clients are typically 20 to 100 staff)UK
Wellness brand (D2C and retail)
Someone pastes a screenshot of an inbound shipment into Slack. Claude reads it, matches each item to live inventory IDs, builds the warehouse receiving order, checks the read-back and posts the box labels back. B2B orders are held for a person to review.
Result Across 25 WROs a month, that adds up to roughly 6 hours saved every month. That's 75 hours a year. And because nobody is retyping anything by hand, the error rate on our AI-created WROs is effectively zero.
Not stated (day-to-day ops run by a one-person team)UK
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