IHG Deploys AI Search to Unlock Decade-Old Attribute Sales Vision

IHG Hotels & Resorts has introduced a natural-language search feature allowing guests to describe desired room characteristics conversationally, marking what analysts view as a potential breakthrough for attribute-based selling — a concept the hospitality sector has pursued without widespread success for nearly a decade.

The new interface permits travelers to type requests such as "quiet room on a high floor with a workspace" directly into the booking platform. The system interprets these plain-English queries and matches them against available room features, transforming how guests can shop for accommodations beyond traditional category designations like "Standard" or "Deluxe."

Attribute-based selling treats hotel rooms as collections of individual features — floor level, view type, bed configuration, shower style, workspace quality — that can be selected and potentially priced separately, similar to airline unbundling strategies. IHG committed to this approach more heavily than competitors, with initial trials reported in 2018 involving over one thousand properties migrated to redesigned reservation infrastructure that could handle granular room attributes rather than just room types.

Despite the backend investments made by IHG and select other operators, the model struggled to gain traction with consumers. Industry observers have characterized progress as incomplete even years past initial projections, with implementations remaining fragmented across the sector. The fundamental obstacle proved surprisingly mundane: while reservation systems were rebuilt to catalog and manage room attributes, guest-facing booking pages remained largely unchanged, offering the same categorical listings and failing to provide an intuitive method for travelers to communicate their specific preferences without navigating cumbersome checkbox arrays.

Additional barriers included inconsistent platform support throughout the booking ecosystem, incomplete hotel data on which features command pricing premiums, and resistance from online travel agencies that prefer simplified listings over complex attribute menus. Yet the interface gap between supply-side capability and demand-side expression consistently ranked among the most significant impediments.

The conversational search release addresses this mismatch directly by allowing preference expression through natural dialogue rather than structured forms. When a guest describes requirements in everyday language, the underlying model translates that input into the attribute parameters hotels have spent years cataloging, creating what amounts to the consumer-facing storefront the infrastructure was designed for but previously lacked.