How Pavers built a scalable data infrastructure to power growth

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About Pavers Shoes

Founded in 1971 by Catherine Paver, Pavers started as a small venture selling shoes at village halls and homeware parties. With a vision for comfortable and stylish footwear, the business grew, opening its first store in Scarborough in 1981. Today, under the leadership of Stuart and Jason Paver, Pavers has become a UK leader in comfort footwear, with over 140 stores nationwide.

What do they do What do they do?
Pavers Shoes is a leading footwear retailer with stores
Industry Industry
eCommerce, Others
Location Location
North Yokshire, England

Pavers: A story of innovation and growth

Founded in 1971, Pavers has grown from a family business into one of the UK’s leading footwear retailers, with nearly 200 stores and a strong e-commerce presence. Through decades of innovation in product design, customer service, and retail operations, Pavers has stayed ahead of the curve.

As the retail landscape evolved, so did the role of data. With multiple sales channels and growing customer interactions, Pavers required a scalable data strategy to improve efficiency and accelerate business growth. While the company had built a solid foundation, it was time to take the next step—becoming a fully data-driven enterprise.

Scaling data for the future: The challenge

With rapid expansion came increasing data complexity. Pavers relied on SQL scripts and manual data extraction—processes that were slow, and unsustainable.

Key challenges:

  • Manual Data Handling: Data extraction and consolidation required engineering effort, slowing down operations.

  • Fragmented Insights: Siloed data from retail stores, e-commerce, marketing, and customer feedback limited visibility.

  • Scalability Limitations: The existing infrastructure was not optimal with Pavers' growth and evolving data needs.

The solution: Hevo as the catalyst for data-driven growth

Pavers, after evaluating multiple tools decided to go with Hevo to simplify data integration, enabling a seamless transition to a modern, scalable data infrastructure.

The shift brought tangible benefits across multiple areas of the business:

  • Automated Data Ingestion: Integrated 52+ sources, eliminating the need for manual coding.

  • Accelerated Data Migration: Ingested 91% of 236 data objects into Snowflake in just 4.5 days.

  • Engineering Efficiency: Saved over 12 engineering days per API integration, freeing up resources for strategic projects.

  • Real-Time Insights: Dashboards deployed across 50% of stores, enhancing decision-making across teams.

  • Proactive Monitoring: Advanced alerts helped detect and resolve data inconsistencies before they impact operations.

This transition was not just about improving efficiency—it was about enabling Pavers to unlock new opportunities by leveraging data more effectively. From store managers accessing live sales performance to marketing teams tracking customer engagement in real-time, the company’s data-driven approach has enhanced agility and responsiveness.

Hevo has been a game-changer for us. The automation, ease of use, and seamless integration have dramatically improved our efficiency. In just a few days, we ingested 91% of our data sources into Snowflake—an incredible milestone!

 Alex ThomsonHead of Data Engineering & Analytics at Pavers

Conclusion: A data-driven future

By modernizing its data infrastructure, Pavers has transformed the way it operates—eliminating inefficiencies, accelerating decision-making, and unlocking new growth opportunities.

As the retail industry evolves, Pavers isn’t just keeping pace—it’s staying ahead. Armed with a powerful, automated data foundation, the company continues to enhance customer experiences, optimize operations, and drive innovation. With Hevo as its trusted partner, Pavers is charting the future of intelligent retail, turning data into a strategic advantage and reinforcing its leadership in the industry.

Excited to see Hevo in action and understand how a modern data stack can help your business grow? Sign up for our 14-day free trial or register for a personalized demo with our product expert.