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Pets at Home

Building scalable, governed product data foundations to fuel growth and accelerate time to market.

The Challenge

Pets at Home is the UK’s largest pet retailer, with a £1.5 billion annual revenue and a broad catalog spanning pet food, accessories, healthcare, and services. But as the product range expanded, managing product information became a bottleneck.

Product data was fragmented and inconsistent, with slow onboarding processes and duplicated efforts across teams. Manual workflows limited scalability and made it difficult to maintain a single source of truth, slowing down time to market and impacting customer experience.

The company needed a solution that could support both scale and complexity, and a partner that could guide digital transformation beyond the platform.

What We Delivered

We partnered with Pets at Home to implement Precisely Enterworks as the central MDM & PIM platform. The solution was integrated into both technology and business teams to reshape the product data lifecycle across physical and service-based products.

Key outcomes included:

  • Redesigning product data processes from the ground up

  • Embedding data governance for quality and consistency

  • Full integration with eCommerce and downstream systems

  • Continuous platform enhancements and support to evolve the solution post-launch

“Start with Data delivered a foundational platform that’s transformed how we manage product information. We’ve seen major improvements in time-to-market and customer experience.”

Pets at Home

The Outcome

Faster Product Launches

New product onboarding and seasonal updates are faster, reducing time to market.

Scalable Architecture

The PIM supports a wide range of SKUs and services while integrating cleanly into the commerce stack.

Improved Data Quality

Governance and structured processes have driven significant improvements in accuracy and consistency.

Want Similar Results?

From platform implementation to long-term support, we help enterprise retailers like Pets at Home build the product data operations needed for scale.