AI-powered hotel POI intelligence
Tasco · Posted 2 months ago
Automotive and mobilityGenerative AIRecommendation Systems / Personalization
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
Hotel information is fragmented, incomplete, inconsistent, and hard to use for travel discovery.
Expected outcomes and success metrics
- Improve hotel search and recommendations.
- Create structured hotel profiles.
- Generate quality scores and traveler-fit summaries.
Data availability and readiness
Sample Hotel POI Dataset with hotel names, locations, addresses, categories, and basic hotel information.
Sample Hotel Reviews for sentiment analysis.
Sample Amenity Dataset.
Developer Documentation.
Mock APIs for hotel search and POI APIs.
Mock Services: sample API responses and testing environment.
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*Track: Mobility | Sponsor: Tasco | Slug: mobility:hotel-poi | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*
Integration, deployment and infrastructure
Data Collection Layer: collect hotel information from multiple sources.
AI Enrichment Layer: extract amenities, prices, reviews, and structured attributes.
POI Intelligence Layer: generate hotel profiles, summaries, traveler segments, and quality scores.
Recommendation Engine: personalized hotel recommendations.
AI Assistant Layer: conversational hotel assistant.
Integration Layer: integration with VETC travel services.
User Interface: hotel discovery and AI assistant experience.
Relevant AI technologies
Generative AIRecommendation Systems / Personalization