Academy Sports Has Integrated ChatGPT and Gemini for Its Platforms
Edited by Adam Harrie — May 19, 2026 — Tech
This article was written with the assistance of AI.
References: digitalcommerce360
Academy Sports and Outdoors expanded its omnichannel strategy to include AI platforms, integrating large-language models such as OpenAI’s ChatGPT and Google’s Gemini into its product feed infrastructure. The retailer said it connects its product catalog across its website, mobile app and external marketplaces while using AI-driven content enrichment to improve product discovery and searchability.
The retailer organizes catalog enhancement in department-by-department waves to scale attribute enrichment across large SKU volumes. Academy Sports uses scraping services and AI tools to identify additional product attributes before merchandising teams review and validate them for customer relevance. The company also joined several Google pilot programs, including Universal Commerce Protocol and Conversational Attributes, to prepare its catalog for agentic commerce experiences.
For consumers, the strategy is designed to improve natural-language product discovery and increase findability across digital touchpoints, helping reduce friction during shopping journeys.
Image Credit: Shutterstock/SuPatMaN
The retailer organizes catalog enhancement in department-by-department waves to scale attribute enrichment across large SKU volumes. Academy Sports uses scraping services and AI tools to identify additional product attributes before merchandising teams review and validate them for customer relevance. The company also joined several Google pilot programs, including Universal Commerce Protocol and Conversational Attributes, to prepare its catalog for agentic commerce experiences.
For consumers, the strategy is designed to improve natural-language product discovery and increase findability across digital touchpoints, helping reduce friction during shopping journeys.
Image Credit: Shutterstock/SuPatMaN
Shopping inside AI chats: usage and intent
Informs decisions on whether to build content and products for in-chat checkout, prioritize AI channel partnerships, and target users most likely to try chat-based shopping soon.
1 / 3
When was the last time you searched for products in an AI chat?
2 / 3
How likely are you to buy something directly inside an AI chat?
3 / 3
Which would you be more likely to use for your next online purchase?
Trend Themes
-
Agentic Search Product Feeds — AI-enriched product catalogs enable conversational agents to surface precise SKUs from natural-language queries, upending traditional keyword search paradigms.
-
Departmental Attribute Enrichment — Wave-based catalog enhancement scaling across departments allows rapid creation of rich metadata that can enable personalized merchandising at massive SKU scale.
-
Multi-platform Catalog Orchestration — Synchronized product feeds across Web App And Marketplaces create a single source of truth that can power unified shopping experiences and programmatic commerce interfaces.
Industry Implications
-
Retail E-commerce — Large-scale AI attribute enrichment reshapes inventory discoverability, enabling new agent-driven purchase paths and reduced reliance on manual merchandising.
-
Marketplaces & Aggregators — Unified catalogs prepared for conversational attributes open possibilities for third-party platforms to integrate agentic commerce and offer seamless cross-seller search.
-
Search & AI Infrastructure Providers — Demand for conversational-ready product data fosters opportunities for specialized tools that automate attribute extraction, validation workflows and real-time feed synchronization.
6.8
Score
Popularity
Activity
Freshness
