Skip to content

Published 23 Jun 2025· via Google Cloud Blog· Blog post

IHG Hotels & Resorts and Radisson Hotel Group Use Google Cloud AI to Transform Travel and Hospitality Experiences

IHG Hotels & Resorts, Radisson Hotel Group · Consumer & Food · United States

Headline result

+50%

revenue

As reported by the source; not independently verified.

Summary

IHG Hotels & Resorts and Radisson Hotel Group use Google Cloud AI to enhance guest personalization, trip planning, and operational efficiency in travel and hospitality.

IHG integrates Google Vertex AI and Gemini generative AI models in its mobile app to provide personalized travel planning and recommendations.

Radisson collaborates with Accenture and Google Cloud to use Vertex AI and Gemini for AI-driven multilingual ad personalization, increasing ad productivity by 50% and revenue by 20%.

Generative AI-powered agents handle 55% of customer questions rapidly without human intervention, streamlining guest services with multimodal input capabilities.

The problem

  1. 01The travel and hospitality industry faces challenges in enhancing guest personalization, trip planning, guest services, and operational efficiency.
  2. 02Increasing competition requires advanced AI capabilities to deliver differentiated customer experiences and improve marketing effectiveness.

What they built

  1. 01IHG deploys Google Vertex AI and Gemini models to build AI-powered personalized trip planning in their mobile app.
  2. 02Radisson uses Vertex AI and Gemini with Accenture to automate multilingual ad personalization and optimize marketing campaigns.
  3. 03Generative AI agents interact with guests using text, images, and video to provide context-aware responses and handle vast volumes of customer inquiries.
  4. 04Companies leverage Google Cloud BigQuery to manage extensive customer data and training datasets for AI models.

Reported results

  1. 01Radisson achieved a 50% increase in ad team productivity and a 20% revenue increase through AI-driven campaigns.
  2. 02IHG offers enhanced travel planning capabilities to improve guest satisfaction and loyalty.
  3. 0355% of customer questions are rapidly answered by AI agents, reducing human agent load and improving service speed.
  4. 04Operational efficiency improved significantly with AI automation throughout guest services and marketing workflows.
  • Built personalized trip planning in app
  • Automated multilingual ad personalization
  • Improved guest satisfaction and loyalty
  • Handled customer questions with AI agents

Source

Google Cloud Blog

Blog post · 23 Jun 2025 · Published by a vendor

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only IHG Hotels & Resorts deployment in the library. It is one of 54 customer personalization deployments, 4 of them in Consumer & Food. Its reported 50% increase is within the typical range (median 40% across 67 figures).

IHG Hotels & Resorts in the library

The only IHG Hotels & Resorts deployment in the library

Too recent to judgeFollow-through is judged once a record is 1 year old; this one is 17 months old.

Same pattern, whole library

One of 54 customer personalization deployments

  • Consumer & Food accounts for 4 of them (7%), ranking #6 of 12 industries.
  • 21 records of this pattern came before it; 24 have been published since.
  • Only 12 of the 54 put a number on the result (22%).
Provider mix
  • Microsoft44%
  • AWS35%
  • GCP22%
Most-used technology
  • Amazon Bedrock 16
  • Azure AI 8
  • Vertex AI 8
  • BigQuery 8
  • Azure OpenAI 6
  • Amazon SageMaker 5

Outlined: used in this record.

Shares describe this library, not the whole market.

Results against peers

50% increase is within the typical range

Across 67 revenue & growth figures (all industries), the median increase is 40%; the middle half falls between 15% and 150%.

This recordMiddle half of peers

  • Customer experience50 figures, all industries · middle half 20%–90%28%median increase
  • Time & speed283 figures, all industries · middle half 30%–76%50%median reduction

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: supported

A credible source with a named customer, but not the organization's own account.

Named organization
IHG Hotels & Resorts, Radisson Hotel Group
Who published the source
The technology vendor
Deployment status
Production (confidence 95%)
Quantified result
The source reports at least one figure
Summary checked against source
4 / 5 agreement

Last re-checked 13 Jun 2026.

Same pattern, other organizations

All customer personalization deployments
  1. 18 Jul 2026
    Retail

    Canadian Tire Case Study | Google Cloud

    Canadian Tire Corporation · Customer personalization · GCP

    Canadian Tire Corporation, one of Canada’s largest retailers, used Google Cloud and Quantum Metric to gain a real-time view of loyalty-customer digital journeys across online and offline channels. The company built ingest jobs into BigQuery, captured roughly 600 signals per customer session, and used the data to run frequent personalization experiments and improve omnichannel shopping experiences. The program helped the retailer tailor offers and recommendations and support a loyalty program with more than 11 million active members.

  2. 15 Jul 2026
    Retail

    iFood: AI journey with AWS for personalization and fraud prevention

    iFood · Customer personalization · AWS

    iFood, one of Brazil's largest delivery marketplaces, uses AWS generative AI to personalize the customer experience and support internal developer workflows. The company operates at very high scale, with more than 80 million orders per month across 330,000 partner establishments. iFood also applies AI-driven fraud prevention across the purchase flow, with users going through more than 100 AI models when buying through the app.

    >330
    thousand establishments · partner establishments
  3. 7 Jun 2026
    Healthcare

    Moody Month uses Gemini 2.5 Pro and Vertex AI on Google Cloud to deliver privacy-preserving personalized women’s health insights

    Moody Month · Customer personalization · GCP

    Moody Month built an AI-powered women’s health and wellness tracker on Google Cloud to deliver personalized hormone forecasts and research-backed advice. The company designed the platform to keep sensitive health data private by isolating user data in Firestore and avoiding exposure of raw user data to LLMs. It uses Cloud Run microservices, Gemini 2.5 Pro, Vertex AI, BigQuery, Looker Studio, and supporting Google Cloud services to generate, match, and visualize insights at scale.

    Scaled Production

    >100K
    users/month · monthly users served
  4. 7 Jun 2026
    Finance

    Discovery Bank: Discovery AI hyper-personalization with Azure OpenAI in Foundry Models

    Discovery Bank · Customer personalization · Microsoft

    Discovery Bank needed to scale hyper-personalized financial experiences and deliver faster, smarter client interactions without managing complex infrastructure. Using Azure OpenAI in Foundry Models and Azure Databricks, Discovery Bank built Discovery AI, a generative AI application that powers personalized recommendations for clients and helps service agents tailor their interactions with customers. Discovery AI doubled client engagement with Discovery Bank next best actions. The AI-powered experience reduced latency of response times by over 50% and improved client satisfaction through real-time, personalized financial insights.

    2×
    client engagement uplift