The Hibbett ChatGPT app is a conversational shopping assistant that helps customers discover and shop sneakers, athletic apparel, and sports gear from Hibbett, including top brands such as Nike, Adidas, New Balance, and Jordan. Users can ask natural-language questions to browse products, check online availability, compare options, explore new shoe releases, find nearby stores, view current promotions, and get detailed product information.
The app also assists with common shopping needs such as sizing guidance, style recommendations, shipping and payment methods questions, and loyalty program details.
By combining Hibbett’s product catalog with AI-powered conversation, the app makes it faster and easier for shoppers to find the right products and get answers—all in one place.
find-couponsSearches for available coupons and promotions. Optionally filters by keyword to find the most relevant coupons.
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
keywordstringOptional keyword to filter coupons (e.g., "sneakers", "clothing", "adidas")
find-storesFinds stores in a specified city and state. Displays stores on an interactive map with markers.
citystringThe city name to search for stores (e.g., "Birmingham", "Atlanta")
statestringThe state abbreviation (e.g., "AL", "GA", "CA")
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
latnumberCity latitude as a JavaScript number. This parameter is optional, but if provided, it may help produce a more relevant response. The LLM should automatically supply the city's latitude based on the provided city and state.
lonnumberCity longitude as a JavaScript number. This parameter is optional, but if provided, it may help generate a more relevant response. The LLM should automatically supply the city's longitude based on the provided city and state.
get-generic-product-detailsFetches detailed information about a specific product by query (SKU, Stock Keeping Unit, Name). Returns comprehensive product information including name, description, pricing, attributes, ratings, and images.
querystringThe query (SKU, Stock Keeping Unit, Name) of the product to retrieve details for
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
get-generic-product-recommendationsSearch for and display AI-curated product recommendations.
querystringThe product search query (e.g., 'perfume', 'skincare', 'makeup foundation')
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
productCountintegerNumber of products to return. Defaults to 10. When DisplayMode is set to fullscreen, a value of 100 is recommended.
10get-new-releasesRetrieves the latest product releases. Displays new products in a carousel format.
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
get-upcoming-releasesRetrieves upcoming product releases with drop dates and availability information. Displays products in a carousel format. Supports optional datetime filtering: use dropDateFrom and/or dropDateTo to filter releases by drop date. Format: ISO-8601 datetime with offset (e.g., "2026-01-24T00:00:00-05:00"). Examples: (1) Specific day: dropDateFrom="2026-01-24T00:00:00-05:00", dropDateTo="2026-01-24T23:59:59-05:00". (2) Date range: dropDateFrom="2026-02-01T00:00:00-05:00", dropDateTo="2026-03-01T23:59:59-05:00". (3) After a datetime: set only dropDateFrom="2026-01-31T00:00:00-05:00".
contextstringOptional context parameter. Should contain the original user message that triggered this tool call.
dropDateFromstringOptional start datetime (inclusive) to filter releases by drop date. Format: ISO-8601 datetime with offset (e.g., "2026-01-24T00:00:00-05:00"). Use alone to get all releases on or after this datetime.
dropDateTostringOptional end datetime (inclusive) to filter releases by drop date. Format: ISO-8601 datetime with offset (e.g., "2026-01-31T23:59:59-05:00"). Use with dropDateFrom for a datetime range, or alone to get all releases on or before this datetime.