WashNet

Inspiration

EV and hybrid vehicle owners still face friction when looking for a trusted car wash at the right place and time. At the same time, many car wash providers struggle to reach the right customers and grow their visibility. We built WashNet to connect both sides through a smarter, data-driven ecosystem.

What it does

WashNet is a platform that connects EV/Hybrid owners, car wash providers, and operators. It helps users discover nearby or on-route car wash services, ranks providers by relevance and quality, and recommends suitable booking time slots. It also gives service providers tools to manage bookings, improve visibility, and join a trusted digital ecosystem.

How we built it

We designed WashNet as a multi-role platform for vehicle owners, service providers, and admins. The frontend is built with React, Vite, PrimeReact, and Tailwind CSS for a responsive modern UI. The backend is structured to handle users, merchants, bookings, campaigns, and analytics. For intelligence features, we designed AI-driven modules for provider recommendation, service ranking, and time-slot suggestion, starting with rule-based logic and preparing for future ML-based upgrades.

Challenges we ran into

One of the biggest challenges was balancing the needs of three different user groups in one platform. Another challenge was defining meaningful recommendation logic without relying on large-scale real customer datasets at the beginning. We also had to think carefully about how to make the system practical for merchants, not just convenient for customers.

Accomplishments that we're proud of

We created a clear product concept that goes beyond simple car wash booking. WashNet brings together search, ranking, booking, provider growth, and platform operations in one ecosystem. We are especially proud of defining a scalable architecture and AI roadmap that can evolve from rule-based recommendation to more advanced intelligent services.

What we learned

We learned that solving a marketplace problem requires thinking about all sides of the ecosystem, not just the end user. We also learned that strong data design and workflow design are just as important as UI and AI. Most importantly, we realized that starting simple with explainable recommendation logic is often the best way to build a useful platform.

What's next for WashNet

Next, we want to improve recommendation quality with real user interaction data, develop smarter ranking and slot recommendation models, and expand provider tools for visibility and performance analytics. In the long term, WashNet can grow into a broader digital ecosystem for EV and hybrid vehicle care services.