TRAVEL AND HOSPITALITY

AI trip planning and booking portal for a travel company

Travellers want an itinerary, not a search box. Wexa built a portal that recommends destinations, writes a day-by-day plan, prices flights and hotels live and books the trip.

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flight prices and schedules
build time
flow from inspiration to booking confirmation

CLIENT: Travel company (leisure and agency)
REGION: India
WHEN: 2025
ENGAGEMENT: Solution build
WEXA COMPONENTS: Recommendation agent · live flight data · booking flow

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The challenge

Planning spread across many sites
Generic recommendations
Prices that change between search and booking

What Wexa built

Personalised destination recommendations and itineraries
Chat interface; live flight data with fallback
Dynamic hotel costs; booking flow and confirmation
Response caching and travel analytics

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How it runs on Wexa

FigureHow this use case runs on Wexa: client systems connected, ontology discovered, context graph in the Wexa memory layer, agents and process flows, and governance. Highlighted components are central to this use case.

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Results

Measure	Before / without Wexa	With Wexa
Travel agents building itineraries and quotes	25 agents	8 agents
Annual cost of the process	$200K	$64K
Time to implement the AI solution	3 months	2 weeks
AI build cost (one-time)	$96K	$7K
AI operating cost per year (models, infrastructure, upkeep, platform)	$65K	$29K
Total AI cost in year 1	$161K	$36K