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Improving Store Liquidation

Author

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  • Nathan C. Craig

    (The Ohio State University, Columbus, Ohio 43210)

  • Ananth Raman

    (Harvard Business School, Boston, Massachusetts 02163)

Abstract

Store liquidation is the time-constrained divestment of retail outlets through an in-store sale of inventory. The retail industry depends extensively on store liquidation, both to allow managers of going concerns to divest stores in efforts to enhance performance and as a means for investors to recover capital from failed ventures. Retailers sell billions of dollars of inventory annually during store liquidations. This paper introduces the store liquidation problem to the literature and presents a technique for optimizing key store liquidation decisions, including markdowns, inventory transfers, and the timing of store closings. We propose a heuristic for solving the store liquidation problem and evaluate the performance of this method. Through applications, we show that our approach could improve net recovery on cost (i.e., the profit obtained during a liquidation stated as a percentage of the cost value of liquidated inventory) by two to five percentage points in the cases we examined. Further, we discuss ways in which current practice in store liquidation differs from the decisions identified by our method, and we trace the consequences of these differences.

Suggested Citation

  • Nathan C. Craig & Ananth Raman, 2016. "Improving Store Liquidation," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 89-103, February.
    • Handle: RePEc:inm:ormsom:v:18:y:2016:i:1:p:89-103
    DOI: 10.1287/msom.2015.0531
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    References listed on IDEAS

    as
    1. Gérard P. Cachon & Robert Swinney, 2009. "Purchasing, Pricing, and Quick Response in the Presence of Strategic Consumers," Management Science, INFORMS, vol. 55(3), pages 497-511, March.
    2. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    3. Murali K. Mantrala & Surya Rao, 2001. "A Decision-Support System that Helps Retailers Decide Order Quantities and Markdowns for Fashion Goods," Interfaces, INFORMS, vol. 31(3_supplem), pages 146-165, June.
    4. Xuanming Su, 2007. "Intertemporal Pricing with Strategic Customer Behavior," Management Science, INFORMS, vol. 53(5), pages 726-741, May.
    5. Marshall Fisher & Ananth Raman, 1996. "Reducing the Cost of Demand Uncertainty Through Accurate Response to Early Sales," Operations Research, INFORMS, vol. 44(1), pages 87-99, February.
    6. Gabriel Bitran & René Caldentey & Susana Mondschein, 1998. "Coordinating Clearance Markdown Sales of Seasonal Products in Retail Chains," Operations Research, INFORMS, vol. 46(5), pages 609-624, October.
    7. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    8. Felipe Caro & Jérémie Gallien, 2007. "Dynamic Assortment with Demand Learning for Seasonal Consumer Goods," Management Science, INFORMS, vol. 53(2), pages 276-292, February.
    9. J. Neil Bearden & Ryan O. Murphy & Amnon Rapoport, 2008. "Decision Biases in Revenue Management: Some Behavioral Evidence," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 625-636, June.
    10. Marshall Fisher & Kumar Rajaram, 2000. "Accurate Retail Testing of Fashion Merchandise: Methodology and Application," Marketing Science, INFORMS, vol. 19(3), pages 266-278, June.
    11. Lazear, Edward P, 1986. "Retail Pricing and Clearance Sales," American Economic Review, American Economic Association, vol. 76(1), pages 14-32, March.
    12. Felipe Caro & Jérémie Gallien, 2010. "Inventory Management of a Fast-Fashion Retail Network," Operations Research, INFORMS, vol. 58(2), pages 257-273, April.
    13. Stephen A. Smith & Dale D. Achabal, 1998. "Clearance Pricing and Inventory Policies for Retail Chains," Management Science, INFORMS, vol. 44(3), pages 285-300, March.
    14. Felipe Caro & Jérémie Gallien, 2012. "Clearance Pricing Optimization for a Fast-Fashion Retailer," Operations Research, INFORMS, vol. 60(6), pages 1404-1422, December.
    15. Hau L. Lee & Christopher S. Tang, 1997. "Modelling the Costs and Benefits of Delayed Product Differentiation," Management Science, INFORMS, vol. 43(1), pages 40-53, January.
    16. Anantaram Balakrishnan & Michael S. Pangburn & Euthemia Stavrulaki, 2008. "Integrating the Promotional and Service Roles of Retail Inventories," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 218-235, July.
    17. Wedad Elmaghraby & P{i}nar Keskinocak, 2003. "Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions," Management Science, INFORMS, vol. 49(10), pages 1287-1309, October.
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