Case Studies

Golden Acre Foods

How Golden Acre Foods automated SKU matching and accelerated insights with trusted data

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Operational Speed

50%

Quicker decisions

Automated reporting and consolidated views

Accuracy Boost

85%

Better inventory data

Cleaned and validated with Mammoth

Process Efficiency

65%

Fewer manual checks

Replaced by scheduled transformations

About

Company size

Large-sized

Headquarters

United Kingdom

Industry

Food Import & Distribution

Use Cases

SKU mapping, Retail analytics, Data transformation

The Company

About Golden Acre Foods

Golden Acre Foods is a leading UK-based food supplier, known for bringing culturally diverse products to major retailers like Sainsbury’s, Tesco, Asda, and Morrisons. With operations in 15 countries and a growing retail footprint, they manage vast amounts of data from both internal systems and external sources like Nielsen.

Recently certified as a B Corporation, the company also strives to meet the highest standards of environmental and social impact—making data quality a top strategic priority.

The Challenge

Reconciling External Data with Internal SKU Models

Golden Acre Foods needed to reliably align internal product codes with complex datasets from Nielsen, which included sales data from four major retailers. The existing process for matching SKUs was manual, time-consuming, error-prone, and unsustainable at scale—delaying reports and business decisions.

Solution

Automated, Scalable Data Matching with Mammoth

With Mammoth, Golden Acre Foods was able to:

Ingest large, structured Nielsen datasets on a recurring basis
Clean, validate, and transform product-level data using no-code pipelines
Auto-match SKUs using barcode-based mapping
Continuously update product definitions as new data became available

All of this was done without needing deep technical expertise, allowing business teams to take ownership of the process.

Outcome

Faster Decisions, Less Friction

The Mammoth Advantage

Why Mammoth?

Precision: Automated high-volume SKU matching with consistent logic
Efficiency: Eliminated bottlenecks in data processing
Scalability: Easily handles growing retailer and product complexity
Empowerment: Built for use by both data teams and business users

“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.”

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Resources