The 4th largest car rental company in the US, maintaining a fleet of over 23,000 cars ranging from economy to SUVs.
Through a network of 85 locations, the company capitalizes on its presence at 22 of the top 25 US airports.
It caters to a wide range of customers, including value-focused leisure travelers, independent business professionals, and customers historically under-served by the major car rental companies.
Created a scraping service framework that fetched rates from multiple car rental solutions and allowed the seamless addition of new sources.
Developed a rules engine to support user-level rule set definitions.
Built an automation console to manage jobs that:
- monitored base rate and provided rate suggestions
- allowed to push rates automatically at a desired time interval
Built an end-to-end rate shopper application with the following features:
- Intuitive and responsive UI
- Multi-brand support
- Integration with APIs provided by ISVs to get rates from GDSs
- Ability to update external systems such as RezCentral and TSD
- Support for one-way and two-way rentals
- Car class tethering
- Rate code tethering
- Conditional rate update
- Opaque rates for dependent car class
User-friendly interface and multi-brand support saved 25% efforts of rate management.
Base rate monitoring increased rate accuracy by 85%.
Allowing user-level rules decreased rate error by 80%.
Car-class and rate-code tethering reduced scrapper load by 25%.
Implementation of third-party APIs helped manage GOV rates and increased reservations by 15%.