Marketing Personalization
Radisson needed to reach travelers earlier in AI-driven trip planning and create a direct booking path inside conversational discovery surfaces instead of waiting for guests to arrive through traditional hotel search channels.
Reported impact
Radisson improved conversion from conversational discovery, launched a new direct-booking surface quickly, and created a reusable infrastructure for future AI-driven travel-discovery features.
Radisson Hotel Group partnered with Accenture Song and OpenAI to build a ChatGPT plugin that brings branded hotel discovery directly into travel-planning conversations. The plugin lets users see hotel suggestions on a map, compare pricing, inspect amenities, and continue to Radisson’s own booking flow without leaving the conversational context. Accenture and Radisson used agentic development to deliver the experience in six weeks, then extended the same infrastructure into sponsored advertising inside ChatGPT so organic discovery and paid promotion reinforce one another. Under the hood, the team created MCP server and API infrastructure that supports both the plugin and the ads experience, and that can power additional features over time. The result is a new direct digital front door for hotel shopping that treats ChatGPT as a planning surface where travelers shortlist options before ever reaching a hotel website.
Traveler trip-planning prompts enter ChatGPT, where the Radisson plugin pulls hotel maps, prices, and amenity data through APIs and the MCP server. Users compare options conversationally, then continue into Radisson’s direct booking experience while sponsored ads reinforce visibility during planning.
"more than half of the campaign’s recorded checkout and booking events were attributed through view-through measurement"
"the Radisson Hotels ChatGPT plugin ... helps travelers compare hotels and explore travel options through an interactive experience"
"the team built and launched the Radisson Hotels in just six weeks"
"visit-to-booking conversion rate approximately 1.5 times Radisson’s organic search"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
OpenAI Sample Jun 23, 2026 Omio Omio needed to move beyond travel search interfaces and accelerate internal product delivery so customers could discover and book multimodal journeys conversationally while teams built and operated faster. 3,000+ transportation providers connected through AI-powered travel experiences ChatGPT · Codex · Dedicated ChatGPT experience OpenAI Sample May 14, 2025 Expedia Group Expedia Group needed to keep travel marketing effective as consumer discovery shifted toward generative AI, while also creating far more content across a massive inventory without overloading marketers or analysts. Hundreds of thousands of properties and vacation rentals in Expedia’s catalog ChatGPT · OpenAI APIs OpenAI Sample Mar 6, 2025 Booking.com Booking.com needed a better way to understand traveler intent during early trip discovery, because rule-based search and hundreds of fixed filters worked only when customers already knew what they wanted and did not… Booking.com data covers the last 20 years AI Trip Planner · GPT models · GPT-4o mini 