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Retail Revenue Management

In: European Retail Research

Author

Listed:
  • Andreas Mild

    (Vienna University of Economics and Business)

  • Martin Natter

    (University of Frankfurt)

  • Thomas Reutterer

    (Vienna University of Economics and Business)

  • Alfred Taudes

    (Vienna University of Economics and Business)

  • Jürgen Wöckl

    (Vienna University of Economics and Business)

Abstract

This work surveys decision support systems that use sales and shopping basket data to suggest regular and promotional price changes in order to improve profit and turnover in retailing (socalled retail revenue management [RRM] systems). Starting with a demonstration of the impact of pricing on profit, we critically assess the pricing methods currently used in retailing and from this basis show the potential for improvement using retail revenue management systems. Furthermore, we classify the different types of pricing problems and describe the methods that are used in retail revenue management. Finally, we discuss the pricing process of retail revenue management systems and report the benefits of such systems typically observed in practice.

Suggested Citation

  • Andreas Mild & Martin Natter & Thomas Reutterer & Alfred Taudes & Jürgen Wöckl, 2009. "Retail Revenue Management," Springer Books, in: Peter Schnedlitz & Dirk Morschett & Thomas Rudolph & Hanna Schramm-Klein & Bernhard Swoboda (ed.), European Retail Research, pages 89-106, Springer.
  • Handle: RePEc:spr:sprchp:978-3-8349-6344-4_5
    DOI: 10.1007/978-3-8349-6344-4_5
    as

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