How to Build an AI Reservation Agent Using a Unified Commerce API

An AI reservation agent leverages the Unified Commerce API to translate user intent into structured API calls that facilitate seamless booking processes across multiple platforms like OpenTable, Yelp, SevenRooms, and resOS. The agent interprets user requests such as "Book dinner for 2 near me at 7pm" by searching for relevant locations, retrieving available time slots, selecting a suitable option, and creating the reservation. This approach relies on structured, deterministic APIs rather than scraping or static data, making booking a strong AI use case due to its clear constraints and binary success outcomes. The agent architecture includes layers for intent parsing, structured operations, decision-making, and execution, with a focus on constraints like read-only availability and the need to confirm reservations. Integrations may vary in their reservation capabilities, but using a unified API simplifies the process by providing consistent objects and endpoints across different platforms, allowing for a single implementation that can adapt to various booking systems.