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Services:
  • Product Engineering

Equipped a Leading US-based Car Rental Enterprise with Cutting-edge Car Rental Reservation Software to Maintain an Upper Hand in a Fast-evolving Competitive Market

Car Rentals
Posted On: 22 March, 2024

About the Client

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.

Business Needs 

To build

  • A rate management system for managing car rental rates.
  • A rate shopper application that allows user-specific custom rules. 
  • A system to support multi-brands for rate configurations
  • Modules to shop competitors' rates from OTAs and GDSs

Business Solutions

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

Business Impact

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%. 
 

Technology Stack

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Equipped a leading US-based car rental enterprise_Tech stack.webp
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