Every Point of Margin
Loss recovered, per year
£0.0m
at full run-rate
Enterprise value at exit
£0m

Oscar Mayer UK · prepared for Ian Toal

Build your own case study for AI at Oscar Mayer.

This is a tool. You set the controls and the case study writes itself: how much margin AI recovers across the chain, how fast, what it costs, and what it is worth on the day you sell. Move a slider and every number below changes with it.

The starting point is a £25m loss pool from inbound to retailer: a sauce that loses weight in the cook, a pack that is overfilled, a line that stops, a load that is rejected, a SKU made that the retailer never pulled. Every figure is an industry benchmark until the audit replaces it with yours.

You built the original of this at the Gastro Hub: a customer draws a pack in the morning, your CAD designer sends it to the 3D printer, and they take it home that afternoon, with a thousand consumers on the Bulbshare app telling them what they think. Months to days. This page does the same for the business case.

1 · The loss pool, inbound to retailer

£25m
£10m7.3% of revenue£40m
Waste, yield loss, downtime, rejects, write-offs and lost sales, before any AI. £25m is the working assumption from the chairman conversation, about 7.6% of FY2025 revenue of £328m. The audit measures it node by node.

Switch a node off to leave it out of the programme. The split of the pool between nodes is an assumption; each node shows its share and what the AI does there.

2 · How much, how fast, how funded

Exit event12 months
The date a buyer or refinancing looks at the accounts. Enterprise value is based on the run-rate proven by then, not the eventual number.
9 months
3 · sprintAdoption speed18 · steady
60%
Assist the teamRecommendRun the loop
Low keeps people making every call. High lets the workflow act inside agreed limits. Sets how much of each node's loss the AI can reach.
70%
30%Operator adoption95%
The share of AI outputs your planners, chefs, engineers and buyers actually use across 2,500 people and three sites. The largest lever, and the one about people rather than software.
£5.0m
£0.25mBuild and run, 24 months£7m
7.5×
5×Valuation basis9×
Proven run-rate operating profit is capitalised at this multiple. UK chilled and prepared-food deals: Freshtime 7.2× (2019), Kerry Meats & Meals 8.5× (2021), Bakkavor 7.9× (2025); the convenience and private-label segment sits at a 7.1× median for 2026. Smaller UK food deals trade nearer 5–6×.
+0.5×
NoneAdded to the multiple, whole business+1.5×
A buyer of a business with a live, proven AI programme is buying the next leg of margin already in motion, not a plan. Applied to the whole operating profit, base and recovered. No sector benchmark exists for the size of this premium; treat it as your judgement. assumption

3 · Your case study

Generated from your settings. Industry benchmarks throughout; Oscar Mayer figures replace them at audit.

4 · The top line

EV at exit
Run-rate proven at exit
what the buyer sees in the accounts
Loss recovered / yr
Cash banked by exit
cumulative recovered loss
Operating margin on £328m revenue

5 · Where the loss is recovered

Pale bar: the node's share of the loss pool. Solid bar: what AI recovers at your settings. The recipe and yield node is an assumption pending your recipe and giveaway data.

6 · Upside measures

7 · Time

Cumulative recoveredCumulative investment

8 · Money

Next step

Take the two-minute AI readiness score Send my case study to Gibson

Each button opens WhatsApp with your settings and scenario code already written. The third one lets you pick the Oscar Mayer × AI group: Ian, Clive and Gibson, nobody else. This page and what you build on it stay between the three of us. Phase 1 audit is £12,500 fixed and takes six weeks.

Basis. Financial baseline is Oscar Mayer Limited's FY2025 accounts (52 weeks to 29 March 2025, Companies House, filed December 2025): revenue £327.9m, gross margin 13.1%, statutory operating profit £6.25m (£6.68m before exceptionals), after a £9.9m operating loss in FY2024. Group net liabilities £0.3m, net debt £45.2m, revolving facility to December 2026 and term facility to at least December 2027. The £25m loss pool (about 16p per meal) and its split between nodes are working assumptions to be measured at the audit; published waste, giveaway, downtime and stockout figures overlap and use different denominators, so the pool is measured from your ledger, checkweigher, OEE, waste and claims data rather than added up from benchmarks. Recovery rates per node are industry benchmarks (predictive maintenance 30–50% less unplanned downtime; forecasting 20–40% fewer stockouts; vision inspection 87% fewer recalls in a single case study; procurement analytics about 2% of addressable ingredient spend; giveaway cut 67–88% in private-label meal plants using per-deposit weighing; a UK ready-meal factory cut food waste 61% with real-time loss tracking, about £0.3m a year). Cook-loss recovery has no published benchmark and is an assumption pending your data. Programme costs are drawn from published 2025–26 market ranges for each workflow type, converted approximately. Exit multiples reflect disclosed UK chilled and prepared-food transactions (Freshtime 7.2×, 2019; Kerry Meats & Meals 8.5×, 2021; Bakkavor 7.9×, 2025) and a 7.1× 2026 median for convenience and private-label food; the transformation premium has no sector benchmark and is the reader's own assumption. Enterprise value uses operating profit as a conservative stand-in for EBITDA. Nothing here is a commitment.

Oscar Mayer UK is an independent UK private-label manufacturer, unconnected to the Kraft Heinz Oscar Mayer brand.

Phase 1 audit, £12,500 fixed. Phase 2 from £40k indicative. Phase 3 scoped. Prepared by Gibson, Everyone Uses AI.