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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. --- *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