The traditional digital storefront is disappearing. For decades, the e-commerce experience was defined by a predictable “search and click” linear path. But as large language models (LLMs) and generative artificial intelligence begin to dominate the discovery phase of the consumer journey, the boundaries of the retail domain are blurring.
At the forefront of this evolution is JD Sports, a global leader in sports fashion, which is currently navigating a landscape where AI agents, and not just humans, are making the initial decisions on where a dollar is spent.
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“The journey has evolved from a search and click process into a more immersive, AI-driven ecosystem where discovery often happens outside our domain,” said Katie Richardson, director of customer retention marketing at JD Sports. Richardson said with the rise of generative AI overviews, many customer searches now conclude before a user even clicks through to the JD Sports site.
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This shift has forced the retailer to rethink the very nature of customer engagement. “It’s not enough to suggest popular products or top sellers,” Richardson said. “They want hyper-personalization based on their unique history and preferences across all channels. They move fast and are driven by convenience and ease of discovery.”
From Recommendations to Agentic Commerce
To meet these expectations, JD Sports is moving beyond the standard recommendation engines that have characterized e-commerce for the last decade. The company is leaning into agentic commerce, where AI acts as a proactive representative for the customer. However, implementing this vision requires more than just raw data. It requires a delicate balancing act with consumer trust, particularly among younger demographics.
“We understand that less than half of our core 18-24 demographic trust AI-assisted shopping,” Richardson said. To bridge this trust gap, JD Sports is prioritizing a “privacy-first” approach. “To ease the transition and increase comfort with the new technology, we are focused on governance and accuracy, privacy-first identification, and security and fraud protection.”
This evolution is being powered by JD Sports’ partnership with Braze, a customer engagement platform that prioritizes real-time outcomes over simple creative outputs. Meredith Mitchell, head of retail and e-commerce marketing at Braze, said AI is no longer a novelty. “It is a powerful, practical tool that enriches the relationship between brand and customer,” Mitchell said. “AI can decode customer intent and transform data into an engine of genuine, personalized taste, delivering the right message the second it matters.”
What differentiates BrazeAI is the intelligence layer embedded directly into customer engagement. “We make it possible to truly understand customer intent in real time, making that intelligence actionable across the platform and optimizing cross-channel experiences from one system rather than across disconnected ones,” Mitchell said.
Navigating the Localization Paradox
For a global powerhouse like JD Sports, the challenge of AI is not just about personalization but also about maintaining cultural authenticity. As the brand expands its footprint across the U.S., it faces what Richardson calls the “standardization versus localization paradox.” A unified AI model, while efficient, risks smoothing over the hyper-local nuances of sneaker sub-culture that drive “brand heat” in specific cities.
“There’s an inherent tension between operational efficiency and regional, cultural relevance,” Richardson said. “We’re using AI to support localized community marketing efforts, so we stay relevant to specific regional youth culture. We’re leaning into machine learning and algorithmic rules to prioritize product assortments for specific markets and channels.”
By analyzing “micro-behaviors,” such as a customer pausing on a specific sneaker image on their mobile device, the AI can pivot a customer’s journey instantly. This move away from “lagging indicators” toward real-time intent is what allows JD Sports to treat every interaction as a unique micro-decision.
Guardrails for the Modern Brand
As AI takes a more prominent role in content creation and journey orchestration, concerns regarding “hallucinations” or off-brand outputs have become a primary hurdle for retail executives. Mitchell said that for AI to be useful in a high-stakes retail environment, it must operate within strict brand parameters.
“Braze built unique guardrails that make generative AI usable for retailers because they turn brand standards into operating rules,” Mitchell said. “Marketing teams can move faster and personalize more deeply without losing control of tone, compliance, or customer trust.” By integrating tools like the BrazeAI Decisioning Studio, JD Sports can automate the generation of dozens of on-brand copy variants while ensuring that every message arrives at the precise moment a customer is most likely to engage.
The goal is to transform the shopping experience from a static, reactive process into one that is proactive and deeply personal. As Mitchell puts it, the technology must answer four critical questions in real time: “What should we say, what should we show, where should we show it, and when is this customer most likely to engage?”
For JD Sports, the future of retail isn’t just about selling a product; it’s about being present in the right cultural moment with the right message. Richardson said the brand must remain “highly visible in an internet increasingly shaped by LLMs,” ensuring that as the technology evolves, the human connection to youth culture and authenticity remains intact.
To learn more, visit braze.com.