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Case studies

Real data,real introductions.

How operators have gone from sharing their purchasing data to trading with new suppliers, and saving money, through Percy.
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Four-site café group, where Percy was built and tested

Double Puc

12.5% off fruit and veg spend: enough on its own to offset the April 2025 National Insurance rise across four sites.

The situation

Double Puc is the café group run by Percy’s founders, and where Percy was built and tested before it went to market. Higher employer National Insurance contributions from April 2025 squeezed already tight margins.

What Percy did

  • Ran a full audit of fresh produce spend, matching every product to equivalent products across several wholesalers
  • Identified a new regional supplier the business had not worked with before
  • Forecast annual savings from exact product volumes
  • Spotted that existing suppliers had expanded their ranges, so products bought from three suppliers could be consolidated with one, reaching higher-volume price tiers

Outcome

A 12.5% saving on fruit and veg spend, which on its own offset the National Insurance increase across all four sites.

Read the full story on our blog →

Premium smoothie, matcha and healthy food concept

Elevate

Two new supplier matches for a growing wellness brand, with the saving validated against its own purchasing data.

The situation

Elevate was moving from one site to two, with a deliberately tight supply chain of just a couple of key suppliers.

What Percy did

  • Analysed Elevate’s actual purchasing data across participating wholesalers to see who could cover the full basket, where the gaps were, and where there was a genuine saving
  • Identified two potential supplier matches and put them forward through the Percy process, with Elevate kept anonymous until the founder chose to meet them
  • Helped coordinate conversations once the founder chose to meet both
  • Ran the final pricing back through Percy to validate the saving properly, accounting for different pack and case sizes

Outcome

A saving Elevate could see was real and material, measured against its own purchasing data rather than two price lists side by side.

Bakery group in the Cotswolds

MOR Bakery

Two new wholesale partners and significant monthly savings for a fast-growing bakery business.

The situation

MOR, founded during lockdown, has grown into a high-quality bakery business with several sites, most recently in Stratford-upon-Avon. It was one of Percy’s earliest customers.

What Percy did

  • Processed MOR’s purchasing data and compared its basket across a range of wholesalers
  • Identified and introduced two new wholesale partners

Outcome

Significant savings every month.

Multi-concept operator at ExCeL London

Legacy Koncepts

A supplier the operator had never come across, turned into a new trading relationship.

The situation

Legacy Koncepts runs five food concepts at ExCeL London, led by an operator with experience of growing franchised and owner-operated businesses in the UK and USA.

What Percy did

  • Analysed Legacy’s product mix against participating wholesalers
  • Found one supplier that was a particularly strong match, which the operator had not come across before
  • Made the introduction, backed by the data showing why the relationship made sense

Outcome

The operator and the supplier started trading, and Legacy made a meaningful saving across that part of its purchasing basket. It was one of the first Percy introductions to go all the way from data analysis to a new trading relationship.

Want to see how Percy works out a saving? Read our methodology and results. References are available on request.

Getting started

See what Percy could save you

Free for operators, with no obligation. Start with a short discovery call so the analysis covers what matters to your business.

Book a discovery callSend us a message

hello@percylabs.ai · +44 (0)781 860 7009

  1. 1Book a discovery call, or send us a message.
  2. 2Accept the operator terms in the invitation we send you before the call.
  3. 3On the call, agree the purchasing categories to investigate.
  4. 4Prepare and share the purchasing data for that scope.