Intelligent Reservation Platform
A multi-location reservation system with AI-driven demand forecasting and dynamic pricing.
Challenge
A hospitality business needed to manage reservations across multiple locations with varying demand patterns, seasonal fluctuations, and pricing optimization requirements.
Approach
We built a multi-tenant SaaS platform with AI-powered demand forecasting and dynamic pricing. The system adapts to each location's patterns while maintaining a unified management interface.
Solution
The platform combines reservation management with AI forecasting models that predict demand, optimize pricing, and surface operational insights to location managers.
Architecture
Multi-tenant SaaS architecture with per-location data isolation. AI models run on aggregated, anonymized data. Real-time pricing engine with configurable rules.
Technology
Next.js, TypeScript, PostgreSQL, Supabase, Python ML, Stripe
Outcome
The platform enabled the business to manage all locations from a single system, with pricing informed by demand rather than static rules.
Let's build something intelligent.
From the first idea to a production-ready system.