Normalized claim
Personalized email campaign timelines: 75%
"sped up campaign timelines from weeks to days"
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.
Normalized claim
Personalized email campaign timelines: 75%
"sped up campaign timelines from weeks to days"
Normalized claim
Sales: 28% increase
"28% year-over-year increase in sales"
The company can deliver personalized experiences at scale across millions of touchpoints
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Project Ruby unifies customer and operational data into BigQuery, uses Gemini Enterprise Agent Platform / Gemini Enterprise to power conversational assistant experiences, and runs local Ruby agents on Google Distributed Cloud at the edge for offline resilience. Firestore provides operational profiles and edge sync, Cloud Storage stores assets, and Pub/Sub plus Dataflow handle enrichment and DLP checks.
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