Conversational AI map assistant

Map users increasingly expect natural conversations, clarification questions, and personalized recommendations.

- Support conversational search. - Resolve ambiguity naturally. - Improve local discovery experiences.

Map users who expect natural conversations and personalised recommendations.

Search Query Dataset. POI Dataset with places, businesses, categories, locations, brands, and attributes. POI Metadata with ratings, popularity signals, descriptions, and tags. User Preference Dataset with sample user profiles and preferences. Public Evaluation Dataset with sample search and permission scenarios. Hidden Evaluation Dataset may be used by judges during final evaluation and will not be shared with participants. --- *Track: Mobility | Sponsor: Tasco | Slug: mobility:maps-assistant | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*

User Interface: chat or voice interface. Conversation Manager: context and session management. Query Understanding Layer: intent and entity extraction. Recommendation Engine: place and service recommendations. Search Integration Layer: integration with map search. LLM Layer: conversational AI generation. Response Layer: natural language response generation.