Travel
Pilgrimage and departure timing as first-class data
The problem
What is actually going wrong
Pilgrimage demand spikes are entirely predictable from the calendar, yet most travel platforms discover them from booking volume after the fact.
Our approach
Forecast from the festival calendar directly, and offer muhurat-aware departure timing for travellers who want it.
Workflow
How the integration runs
Forecast
Pull the festival calendar for each destination for the season ahead.
Price
Inventory and pricing models take festival proximity as an input.
Offer
Travellers requesting an auspicious departure get real windows.
Notify
Webhooks trigger campaigns ahead of major observances.
Integration
Endpoints and outcomes
Endpoints used
All of these are described in the OpenAPI 3.1 document, so you can generate a typed client rather than hand-writing request code.
What you get
- Demand spikes anticipated rather than observed
- Departure windows computed for the origin city
- Destination-specific observances, not a national list
Build it this week
The Free plan covers 500 requests a day, which is more than enough to prototype the workflow above.