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Fleet asset capacity analysis and revenue management optimization using advanced prescriptive analytics

Author

Listed:
  • Daniela Hupfeld

    (Europcar International)

  • Raffaele Maccioni

    (ACT Operations Research)

  • Roald Sesemann

    (Europcar International)

  • Diego Ravazzolo

    (ACT Operations Research)

Abstract

Leading a highly dynamic business, in a competitive market, in our era of globalization and social consumers, is quite challenging. This challenge is also associated with high financial risks when the business requires intensive asset investments. This is the case for the multinational Europcar in the rental car business. This paper shows how advanced analytics can be properly combined and adapted in order to improve the business management. The proper integration of math-based software can help companies to cut costs and gain market share in their complex and competitive market.

Suggested Citation

  • Daniela Hupfeld & Raffaele Maccioni & Roald Sesemann & Diego Ravazzolo, 2016. "Fleet asset capacity analysis and revenue management optimization using advanced prescriptive analytics," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 516-522, December.
    • Handle: RePEc:pal:jorapm:v:15:y:2016:i:6:d:10.1057_s41272-016-0064-y
    DOI: 10.1057/s41272-016-0064-y
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    Cited by:

    1. Srinivas, Sharan & Ramachandiran, Surya & Rajendran, Suchithra, 2022. "Autonomous robot-driven deliveries: A review of recent developments and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).

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