VETC mobility growth and engagement platform
Tasco · Posted 2 months ago
Automotive and mobilityRecommendation Systems / Personalization
- Budget
- To be determined
- Timeline
- Not specified
- Closed on
- 31 Jul 2026, 16:59 ICT
Problem statement
Many VETC users only use toll payment and do not discover roadside assistance, insurance, reminders, loyalty, and partner services.
Expected outcomes and success metrics
- Increase roadside assistance and civil-liability insurance activation.
- Improve retention and cross-service adoption.
- Explain service recommendations based on vehicle and behavior signals.
Target users and impacted teams
VETC users, many of whom only use toll payment.
Data availability and readiness
Synthetic User Dataset: fictional users, vehicles, usage patterns, and demographics.
Vehicle Dataset: vehicle types, age, registration status, and ownership information.
Service Catalog Dataset: VETC services, descriptions, eligibility rules, and pricing information.
User Activity Dataset: simulated service usage and interaction history.
Content Dataset: sample news articles and video metadata.
Public Evaluation Dataset: sample recommendation and engagement scenarios.
Hidden Evaluation Dataset may be used by judges during final evaluation and will not be shared with participants.
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*Track: Mobility | Sponsor: Tasco | Slug: mobility:vetc-mobility-copilot | Source: Agentic AI Build Week 2026 — Production snapshot 2026-08-11*
Integration, deployment and infrastructure
User Profile Layer: vehicle, account, and behavior data.
Recommendation Engine: service recommendation logic.
AI Assistant Layer: conversational AI assistant.
Notification Engine: intelligent engagement and reminder system.
Content Recommendation Layer: news and video recommendations.
Integration Layer: integration with VETC services.
User Interface: mobile and Mini App experiences.
Relevant AI technologies
Recommendation Systems / Personalization