CPG & Retail · United Kingdom

How Golden Acre Foods automated Nielsen SKU matching and cut manual checks by 65%

Replacing error-prone manual SKU matching with automated no-code pipelines — so commercial teams trust the data.

65%
Fewer manual checks
85%
Inventory data accuracy
50%
Faster decisions
Company size
Large enterprise
Company industry
Consumer Packaged Goods & Retail
About the company

A leading UK food supplier bringing diverse products to Britain's biggest retailers

Golden Acre Foods is a UK-based food supplier specialising in culturally diverse products, supplying major retailers including Sainsbury's, Tesco, Asda, and Morrisons. With operations spanning 15 countries and a growing retail footprint, the company manages vast amounts of data from both internal systems and external sources like Nielsen.

Recently certified as a B Corporation, Golden Acre Foods combines commercial ambition with a strong ethical mission — and that ambition depends on data their commercial teams can actually trust.

The challenge

SKU matching done by hand — slow, error-prone, and impossible to scale

Golden Acre Foods needed to reliably align their internal product codes with complex Nielsen datasets covering sales data from four major UK retailers. But the process for matching SKUs was entirely manual — a time-consuming, error-prone exercise that no one could maintain at scale.

Every reporting cycle meant hours spent reconciling codes, fixing mismatches, and validating outputs before any analysis could begin. Reports were delayed, results were questioned, and the commercial team had no confidence in the numbers they were working with.

The solution

Automated SKU matching with no-code pipelines — owned by the business team

Mammoth gave Golden Acre Foods the tools to automate their entire Nielsen data workflow — without needing any technical expertise:

  • Ingest large, structured Nielsen datasets on a recurring basis from four major retailers
  • Clean, validate, and transform product-level data using no-code pipelines
  • Auto-match SKUs using barcode-based mapping — replacing hours of manual work
  • Continuously update product definitions as new data became available
  • Allow business teams to own and manage the process without IT involvement
The outcome

Trusted data. Faster decisions. A commercial team that finally believes the numbers.

  • 65% fewer manual checks — replaced by scheduled, automated transformations
  • 85% improvement in inventory data accuracy — cleaned and validated with Mammoth
  • 50% faster decisions — automated reporting and consolidated retailer views
  • Complete automation of SKU matching across Sainsbury's, Tesco, Asda, and Morrisons
  • Commercial team now has full confidence in retail analytics and external data reports

The ability to automate the Nielsen data import, match it to our SKUs, and update our dashboards weekly has been a game-changer. Our commercial team finally trusts the data.

Commercial Analyst
Golden Acre Foods
The transformation · From manual SKU matching to automated retail analytics
BEFORE MAMMOTH NIELSEN SKU codes 4 retailers complex schema EXTERNAL FORMAT INTERNAL Product codes own barcodes own format OWN FORMAT ✕ MISMATCH Codes don't align · hours to reconcile Reports delayed every cycle Results questioned by the team Commercial decisions stall MANUAL EFFORT EVERY WEEK Ingest Nielsen 4 retailers · recurring Match by barcode Auto-align SKUs · no errors Weekly auto-update Dashboard always current Retail Analytics · Trusted MANUAL CHECKS 65% ▼ fewer ACCURACY 85% better data DECISIONS 50% ▼ faster SKUs MATCHED · ALL RETAILERS Sainsbury's Tesco Asda Morrisons Auto weekly Zero IT needed Trusted data.

The Mammoth advantage

Why Mammoth worked for Golden Acre Foods

Three things made the difference — and they're the same three things every commercial team tells us about.

Automation without code

SKU matching that used to take hours every week now runs on a schedule — no engineering, no IT tickets, no manual reconciliation.

Accuracy at scale

Barcode-based mapping replaced manual matching across four major retailers. An 85% improvement in data accuracy means the commercial team can act with confidence.

Business ownership

The commercial team manages their own data pipelines without waiting on anyone. When Nielsen data updates, the dashboard updates — automatically.