Royal Caribbean
Royal Caribbean had a two-week window to craft an AI strategy to boost revenue and deepen customer satisfaction and engagement.
14 days
Research to Prototypes
8-15%
Increased Pax Spend
AI Framework
Established for reuse
AI-Enhanced
Itinerary Planning
By answering a few questions, the user helps the AI-powered planner shape the next step.
TRAINING THE AI:
BOOKING INFORMATION (DEMOGRAPHICS, TRAVELER INFO, ETC.)
USER SURVEY INPUTS
HISTORICAL DATA, CURRENT BOOKINGS, PROVISIONING, COURSE & WEATHER INFO, SAFETY
AI-Enhanced
Itinerary Planning
By answering a few questions, the user helps the AI-powered planner shape the next step.
TRAINING THE AI:
BOOKING INFORMATION (DEMOGRAPHICS, TRAVELER INFO, ETC.)
USER SURVEY INPUTS
HISTORICAL DATA, CURRENT BOOKINGS, PROVISIONING, COURSE & WEATHER INFO, SAFETY
AI-powered itineraries
Personalized itineraries that maximize revenue and deliver an optimal guest experience.
As Lead Experience Designer, I led a two-week vision sprint for Royal Caribbean, exploring how AI could unlock new revenue streams and elevate the guest experience. Partnering with a travel industry expert and guiding a senior designer, I structured a fast-paced discovery and design process that surfaced strategic opportunities and delivered tangible, high-impact concepts.
To align the broader client team, I facilitated a collaborative workshop that identified ideas that were both feasible and differentiated, balancing bold innovation with operational reality. Together, we prototyped AI-driven personalized itineraries, predictive guest services, and dynamic onboard experiences that reimagined how travelers connect with the brand.
The result was a suite of actionable ideas that demonstrated measurable business potential, reinforced client confidence in design-led strategy, and directly informed future digital product development.
TEAM:
Lead Experience Designer, Senior Designer, Travel Industry SME
DURATION:
2 weeks
PLATFORM:
Web, Kiosk
TEAM:
Lead Experience Designer, Senior Designer, Travel Industry SME
DURATION:
2 weeks
PLATFORM:
Web, Kiosk
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