Published 22 Jun 2026· via Google Cloud· Customer story
Virgin Voyages: Project Ruby AI concierge with Gemini Enterprise Agent Platform
Virgin Voyages · Consumer & Food · Virgin Islands (British)
The source does not publish a single comparable figure. Reported results are listed below.
Summary
Virgin Voyages developed Project Ruby with Google Cloud and partner 66degrees to provide personalized, conversational support for sailors and crew.
The solution brings together data from Salesforce, Seaware reservation systems, websites, onboard sales terminals, and crew tablets into BigQuery, then uses Gemini Enterprise to generate predictions and personalization through natural-language agents.
Guest-facing and internal assistants include Rovey for personalized concierge support and crew tools for ship-, route-, and role-specific assistance.
Local Ruby agents run on Google Distributed Cloud at the edge to keep the experience resilient during offline ship operations, while Firestore, Cloud Storage, Pub/Sub, and Dataflow support operational profiles, asset storage, enrichment, and DLP checks.
The problem
- 01Personalize guest-facing concierge and crew assistance across millions of touchpoints.
- 02Scale interactions while handling offline and ship connectivity constraints.
What they built
- 01Virgin Voyages unified customer and operational data from multiple touchpoints into BigQuery.
- 02Gemini Enterprise Agent Platform and Gemini Enterprise turn that data into predictions and personalization surfaced through conversational natural-language agents for guests and crew.
- 03Rovey acts as a virtual crew member that suggests destinations, excursions, spa sessions, and other personalized support.
- 04Ships run local Ruby agents on Google Distributed Cloud at the edge to maintain resilience during inconsistent connectivity at sea; Firestore, Cloud Storage, Pub/Sub, and Dataflow support operational profiles, asset storage, enrichment, and DLP checks.
Reported results
- 01Personalized email campaign timelines sped up by 75%.
- 02Sales increased 28% year over year.
- 03More than 1,500 AI agents now support operations including group booking management and crew enablement.
- 04The company can deliver personalized experiences at scale across millions of touchpoints.
- Delivered personalized concierge support at sea and at home
- Enabled crew to focus on guest interaction instead of backend tasks
- Scaled personalized support across millions of touchpoints
- Expanded AI use across operations with 1,500+ agents
Source
How this deployment compares
Computed from the library · data 10 Nov 2026This is the only Virgin Voyages deployment in the library. It is one of 14 customer service agent deployments, 4 of them in Consumer & Food. Like 63% of records, its source gives no figure.
Virgin Voyages in the library
The only Virgin Voyages deployment in the library
Same pattern, whole library
One of 14 customer service agent deployments
- Consumer & Food accounts for 4 of them (29%), more than any other industry.
- 9 records of this pattern came before it; 0 have been published since.
- Only 2 of the 14 put a number on the result (14%).
- Distinctive claim: Innovation & culture outcomes are reported by only 3 peers (21%).
- Distinctive claim: Scale & capacity outcomes are reported by only 3 peers (21%).
- Microsoft43%
- AWS21%
- IBM14%
- GCP14%
- Copilot Studio 3
- Azure OpenAI 2
- Azure Speech 2
- Amazon Bedrock 2
- AWS Lambda 2
- Azure AI Search 2
Outlined: used in this record.
Shares describe this library, not the whole market.
Results against peers
No figure here. What peers report
Like 63% of records in the library, the source gives no figure. Peers that do quantify similar claims report:
- Customer experience50 figures, all industries · middle half 20%–90%28%median increase
- Adoption & scale8 figures, all industries · middle half 134%–1100%250%median increase
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
- Virgin Voyages
- Who published the source
- The organization itself
- Deployment status
- Scaled Production (confidence 95%)
- Quantified result
- The source reports no figure
- Summary checked against source
- 4 / 5 agreement
Last re-checked 26 Jul 2026.
This record is evidence for
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