Academy Sports and Outdoors’ Omnichannel Definition Includes AI Platforms

Why It Matters

Integrating generative AI into core commerce operations signals a new standard for large retailers, promising higher conversion rates and more efficient supply‑chain coordination. Success at Academy could accelerate industry‑wide adoption of AI‑driven omnichannel models.

Key Takeaways

• Academy adds LLMs to omnichannel, linking catalog to ChatGPT, Gemini.
• AI enriches product attributes, adding up to 5 new fields per SKU.
• Partnering with Google on UCP, conversational attributes, direct offers, Business Agent.
• Generative Engine Optimization (GEO) targets higher searchability and conversion rates.
• Investing in AI merchandising and Manhattan Associates supply chain platforms.

Pulse Analysis

The retail landscape is redefining omnichannel by weaving large‑language models directly into product ecosystems. Academy Sports’ CIO emphasizes that the shift starts with robust product feeds, which must scale across thousands of SKUs. By layering AI‑generated metadata onto existing attributes, the retailer creates a richer, searchable catalog that powers both traditional storefronts and conversational interfaces like ChatGPT, enabling shoppers to locate items through natural language queries.

Academy’s partnership with Google amplifies this effort through four pilots: the Universal Commerce Protocol, a shared standard for agentic commerce; a Conversational Attributes pilot that readies catalogs for AI discovery; Direct Offers that surface exclusive deals within AI‑driven search; and Business Agent, a virtual sales associate that answers product questions in the brand’s voice. Together, these initiatives drive Generative Engine Optimization (GEO), a counterpart to SEO that focuses on how LLMs rank and surface product content, directly influencing click‑through and conversion metrics.

Operationally, the AI‑enhanced catalog feeds into Academy’s order‑management system and Manhattan Associates supply‑chain platform, supporting real‑time inventory updates, BOPIS, and store‑based fulfillment. Predictive demand models further refine merchandising decisions, while continuous attribute enrichment reduces cart abandonment and lifts average order value. As AI becomes a permanent channel, retailers that master data maturity and GEO will gain a competitive edge in an increasingly agentic commerce environment.