Channel Integration, Sales Dispersion, and Inventory Management

Santiago  Gallino; Antonio  Moreno; Ioannis  Stamatopoulos

Article | Management Science

Channel Integration, Sales Dispersion, and Inventory Management

by Santiago Gallino, Antonio Moreno and Ioannis Stamatopoulos

Abstract

We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a “ship-to-store” (STS) functionality that allows customers to ship products to their local store free of charge when those products are not available in their local store. Based on the fact that stores prioritize carrying products for which local demand is high, we test the hypothesis that introducing the STS functionality increased the retailer’s overall sales dispersion. We find that, on average, the contribution of the 90% lowest-selling products to total sales increased by 0.75 percentage points, increasing sales dispersion. Calibrating conventional inventory-ordering models, we show that to respond optimally to the observed increase in dispersion, the retailer would need to increase its cycle and safety inventories by approximately 2.7%. Our paper points out the effect of an increasingly important retail phenomenon (channel integration) on a key factor for inventory management (sales dispersion).

Keywords: Retail operations; online retail; channel integration; sales dispersion; long tail; empirical operations; Inventory management; omnichannel retail; Marketing Channels; Integration; Sales; Logistics; Operations; Management; Retail Industry;

Format: Print

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Citation:

Gallino, Santiago, Antonio Moreno, and Ioannis Stamatopoulos. "Channel Integration, Sales Dispersion, and Inventory Management." Management Science 63, no. 9 (September 2017): 2813–2831.

Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an optimal polynomial-time algorithm for the auditing and replenishment problem with phantom inventory, under the assumption that inventory is known immediately after replenishment. Moreover, we numerically show that a projected service-level threshold policy performs comparably to the optimal.

In 2010, amidst the growth of ecommerce and the emergence of new, purely online, fashion players, Zara launched its first online store, Zara.com. Since then, Zara’s online business had grown at a fast pace. By 2018, 12% of Inditex Group’s total sales came from the online channel. Since the inception of the first online store, Inditex leadership wanted its online and offline businesses to be integrated. However, the increase of online orders challenged some of its operations. Inditex was committed to the vision of becoming fully integrated, fully digital, and fully sustainable by 2020. How could stores continue to be relevant in a world with increasing presence of online touchpoints? What should the store portfolio look like in the medium term? How should Zara use and advance the integrated model going forward? What other challenges and opportunities would arise with the increase of online sales?

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Channel Integration, Sales Dispersion, and Inventory Management

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