Chatbot Uses Conversation Context for Product Recommendations
Summary
USPTO published patent application US20260099865A1 by inventor Tyrone Ahmad-Taylor for a chatbot system that uses conversation context to provide product recommendations. The system processes natural language customer queries to search vendor product catalogs, retrieve inventory data, and generate personalized product recommendations within the conversation interface.
What changed
USPTO published patent application US20260099865A1 for a chatbot system that uses conversation context to provide product recommendations. The system ingests vendor product catalogs, processes natural language customer queries, searches available inventory across multiple vendors, ranks products, and generates conversational responses with purchase incentives.
Affected parties including technology companies developing conversational AI, e-commerce platforms, and retailers implementing chatbot systems should monitor this patent filing for potential IP implications. The patent covers methods for extracting product details from conversational queries, vendor and inventory lookups, and completing transactions within chat interfaces.
What to do next
- Monitor for updates
Archived snapshot
Apr 14, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
CHATBOT RECOMMENDATIONS FROM CONVERSATION CONTEXT
Application US20260099865A1 Kind: A1 Apr 09, 2026
Inventors
Tyrone Ahmad-Taylor
Abstract
A system and method for facilitating natural language conversations between customers and vendors for product purchases is provided. The system ingests product catalogs from vendors, normalizes the data, and provides a conversational interface for customers to query the catalogs. In some examples, a chatbot system receives a natural language query from a customer about a product in a chat interface, identifies vendors offering that product by searching uploaded product catalogs, determines available inventory for the product by querying the catalogs, and generates a natural language response to the customer using the vendor and inventory information. The system can extract product details from the query, search based on those details, rank and recommend vendors and products, update user profiles, offer purchase incentives, and complete transactions within the conversation. The system handles the conversational and technical aspects to enable natural dialog between businesses and customers regarding products.
CPC Classifications
G06Q 30/0271 G06F 40/40 G06Q 30/0277
Filing Date
2025-12-11
Application No.
19417102
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