JD Sports names Algolia to Build its Agentic Commerce Strategy

Global sports fashion retailer’s move to AI-native product discovery has already lifted search revenue 22% and product listing page click-through 73%

Algolia today shared that JD Sports has deployed Algolia as the governed intelligence layer to build JD Sports’ agentic commerce strategy.

The move takes JD Sports’ product discovery beyond its own storefronts at a moment when a growing share of retail traffic originates with AI assistants rather than search bars. An agent shopping a catalog doesn't care how fast the search box is, it cares whether the data it retrieves is structured, current & true. Algolia makes JD Sports' catalog exactly that, allowing JD Sports to answer conversational, intent-heavy queries – still in milliseconds – with the same catalog and ranking logic that powers its websites.

Since implementing Algolia in 2024, the retailer has increased revenue from search by 22%, lifted search click-through rates by 7.65%, increased product listing page (PLP) click-through rates by 73% and grown PLP revenue by 16%.

From manual rules to a self-tuning system

Founded in 1981, JD Sports has grown into a leading global sports fashion retailer, operating more than 4,800 stores and more than 9 million JD STATUS loyalty programme active accounts globally. As its ecommerce operations and product catalogs expanded, merchandising teams were spending significant time manually tuning results, boosting products and maintaining static rules—a model that could not keep pace with trends, seasonality, and shifting shopper behavior.

In close partnership with Algolia Professional Services, JD Sports moved to a MACH ecommerce architecture and built a scalable search and data foundation designed around its ranking, merchandising, and customer experience requirements.

Kristin Matter, Vice President, Digital Operations at JD Sports, said: “Replacing a highly manual search and merchandising process with an AI-native foundation changed how we operate, just what our results look like. We respond faster to changing shopper behavior and emerging trends,  our merchandisers spend their time on strategy instead of tuning, and the revenue gains follow.”

One of the clearest drivers of change has been Dynamic Re-Ranking (DRR), which uses real-time click and conversion signals to identify trending products and automatically adjust their placement —within the merchandising rules JD Sports' team defines, with every adjustment visible and reversible. DRR alone delivered a 2.2% lift in click-through rate, a 4% lift in add-to-cart rate, and a 4% lift in conversion rate, freeing merchandisers from manual tuning without taking away their control.

Building for agent-led shopping

JD Sports and Algolia have begun using AI to proactively surface emerging search trends, inventory shifts, and merchandising opportunities, and to tailor discovery to individual shopper intent. The same retrieval layer that serves the retailer’s websites now serves its AI agent, giving JD Sports one place to control relevance as shopping moves across channels.

Matter added: “In enterprise software, it’s rare to find a partner that feels like a true extension of your team. When a complex requirement comes up, the Algolia team works side by side with us on a  solution built for our business. That’s why we’re building our agentic commerce strategy on this foundation rather than starting over.”

Stephen Lynch, CEO, Algolia, remarked: "JD Sports understood before most that discovery is a growth engine, not a website feature, and a 22% lift in search revenue is a P&L result, not an IT metric. In a category where demand shifts weekly—winning takes intelligence merchandisers can inspect and control, not a black box they're asked to trust. The next wave of retail growth will go to the companies whose catalogs agents can actually shop—structured, current, and true. JD Sports built that foundation early, and the results are already showing up in revenue."

Read the full JD Sports case study here. To learn how Algolia’s Retrieval Intelligence platform can transform ecommerce search and discovery, request a demo.

About JD Sports Fashion plc

Founded in 1981, JD Group is a leading global omni-channel retailer of sports, fashion and outdoor brands. With 4,811 stores across 36 countries, our fascias – including JD, Size?, Courir, DTLR, Shoe Palace, Hibbett, Sprinter, Sport Zone, Cosmos and Go Outdoors – deliver multi-brand and multi-category propositions that blend agility with trend-driven curation. JD Group also operates 102 JD Gyms sites in the UK, and 75 franchised stores in a further 15 countries.

We leverage our deep understanding of our customers, close relationships with established and emerging brands, and our exclusive product and own brands portfolio to deliver leading-edge athleisure, performance and streetwear products that address the very latest trends across footwear and apparel. We deliver this via our customer-focused omni-channel proposition that combines vibrant, theatrical stores – where sports fashion meets music and youth culture – with cutting-edge digital experiences.

Our vision is to inspire the emerging generation of customers through a connection to the universal culture of sport, music and fashion. We drive this vision forward via our four strategic pillars: JD Brand First, first priority, first in the world; leveraging our Complementary Concepts to support JD Group's regional expansion; moving Beyond Physical Retail by building the right infrastructure and creating a lifestyle ecosystem of relevant products and services; and doing the right thing for our People, Partners & Communities.

JD Sports Fashion plc is a constituent of the FTSE 100 index.

About Algolia

Algolia is the retrieval intelligence layer that turns intent into trusted, decision-grade outcomes. Powering more than 1.7 trillion queries a year for over 18,000 customers with millisecond latency and 99.999% reliability, we are the recognized leader for Search and Product Discovery by top industry analyst firms. The Algolia platform turns a company's products, content, and business rules into data that humans, applications and AI agents can act upon. The result is trusted customer experiences with stronger conversions for measurable business impact. Learn more at www.algolia.com.

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