With a motto of “healthy living for all,” MuscleFood is an online and multistore food retailer based in Nottingham, England. They supply pre-prepared meals, ready meals, recipe kits, and fitness-related products and plans throughout the United Kingdom. Muscle Food primarily sells its products online and in retail outlets. Their goal is to make healthy food more accessible and affordable for its 1.8 million customers.
THE CHALLENGE
MuscleFood had a long list of data sources in its tech stack, including Magento, Shopify, Recharge, Klaviyo, Gorgias, Saleslayer, PPD, SQL and more — running everything from its customer-service portal to its inventory and warehouse management system, to its subscription service and more. As MuscleFood evolved and added these new sources of data, PowerBI (and Microsoft) costs started to spiral. MuscleFood had to act quickly to address the cost and flexibility challenge. On top of this, they also wanted a clear understanding of performance against all KPIs, along with an understanding of what data is driving decision making.
“We needed a solution where we could run multiple stores — whether that’s three stores, 10 stores or 50 stores,” says MuscleFood CIO Richard Fallows. “We wanted a framework and a BI solution where we can create new pipelines and bring new store data into an existing data model and data warehouse, and where we can then, effectively, just push the data into existing reports.
“We needed to find a partner and supplier that gave us that flexibility in terms of the design and the build — and that’s also cost-effective.”
