Case Study: Railofy improves railway congestion forecasting and pricing with Bright Data

Alternative travel solutions enabled by online data Railofy

Railofy, an Indian travel tech startup, was challenged by its inability to access the necessary public online data to feed its pricing algorithm. This data, which included flight prices and seat availability, was critical for predicting railway and airline congestion so the company could set effective pricing for its service that provides flight alternatives to waitlisted train passengers. To solve this, they turned to Bright Data.

Using Bright Data's Data Center IPs, Residential IPs, and the Proxy Manager, Railofy gained access to a big pool of Indian proxy IPs. This allowed them to collect the public data required to analyze the railway network and predict congestion. With this solution from Bright Data, Railofy successfully implemented effective pricing systems, leading to a successful first product rollout and plans to become the largest brand in the Indian Railways space.

Railofy

Hrishabh Sanghvi

Co-Founder and CTO