Decision Support Tool for Retail Shelf Space Optimization

International Journal of Information Technology & Decision Making, Vol. 7, No. 3, pp. 547-565, 2008

Posted: 24 Apr 2010

See all articles by B. Ramaseshan

B. Ramaseshan

Curtin University - School of Marketing

Date Written: September 1, 2008

Abstract

Efficient allocation of shelf space and product assortment can significantly improve a retailer's profitability. This paper addresses the problem from the perspective of an independent franchise retailer. A Category Management Decision Support Tool (CMDST) is proposed that efficiently generates optimal shelf space allocations and product assortments by using the existing scarce resources, resulting in increased profitability. CMDST utilizes two practical integrated category management models that maximize the total net profit in terms of decision variables expressing product assortment, shelf space allocation, review period, and order quantity. The implementation of the models demonstrates their robustness and that the net profit can be significantly increased when compared to the current industry practice.

Keywords: Category management, product assortment, optimal shelf space allocation

Suggested Citation

Ramaseshan, B., Decision Support Tool for Retail Shelf Space Optimization (September 1, 2008). International Journal of Information Technology & Decision Making, Vol. 7, No. 3, pp. 547-565, 2008. Available at SSRN: https://ssrn.com/abstract=1485246

B. Ramaseshan (Contact Author)

Curtin University - School of Marketing

Australia

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