At a glance
- Dashboard
- Revenue-manager view of the AI pricing engine
- Performance
- Virtualized tables for thousands of data points
- Alerts
- Pricing recommendations and demand spikes up front
- Consumer tracker
- Frontend built on Bubble from Figma
Engagement
What it does
RoomHawk started as a B2B revenue platform for hotels: an AI pricing engine that told revenue managers what to charge for each room type and date. Today it's a free consumer price tracker covering 2M+ rooms.
What we built
Frontend-only engagement for RoomHawk's earlier B2B revenue platform - the dashboard revenue managers used to act on the AI pricing engine. Backend and pricing engine were already solid; our job was the interface layer that made the intelligence usable. We mapped revenue-manager workflows and shipped the dashboard in 2 months.
The technical work
The dashboard rendered large datasets - rate comparisons across hundreds of room types and date ranges - without performance degradation. Virtualized tables and charts handled thousands of data points with real-time updates as new demand signals flowed in. Progressive disclosure kept today's pricing recommendations and unusual-demand alerts front and center, with drill-down for managers who wanted the reasoning behind each recommendation.
The pivot
RoomHawk has since evolved from a B2B revenue tool for hotels into a consumer-facing price tracker for travelers. Our scope covered the frontend on both: the original revenue-management dashboard, and the consumer tracker, built on Bubble from their Figma designs.
The people behind this project
Client
Led the RoomHawk product and defined the requirements for the frontend redesign. Provided deep domain knowledge on revenue management workflows and ensured the UI matched how hotel staff actually make pricing decisions.
Zeroic
Mohit Gaddam Senior engineer @ Zeroic