# Optimizing marketer costs and consumer benefits across “clicks” and “bricks”

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## Abstract

The Internet has revolutionized the retailing landscape and how goods and services are sold and distributed to consumers. One avenue of significant growth in online selling comes from multichannel retailers who offer products in stores as well as over the Web. These hybrids may leverage their “brick” locations by allowing customers to pick up or return orders purchased online at retail stores. This option lets Web-based buyers avoid added shipping costs and long package carrier lead times, albeit at a cost to retailers. To examine the viability of this strategy, we develop a mathematical model that examines the cost and value of providing in-store pickup and return. The model is used to determine the best subset of brick-and-mortar stores to handle in-store pickup and return demand. One of the principal takeaways is that not all retail stores should be offering in-store pickups and/or returns. Our computational results show optimizing the set of pickup and return locations may reduce system cost over baseline marketing policies where these services are set up at all or none of a retailer’s stores. In addition, we show that retailers can significantly improve some consumer benefits at little extra cost.

## Keywords

E-tailing Internet marketing Clicks and bricks Optimization models## References

- Agatz, N. A. H., & Fleischmann, M. (2008). E-fulfillment and multichannel distribution—a review.
*European Journal of Operations Research, 187*, 339–356.CrossRefGoogle Scholar - Alptekinoğlu, A., & Tang, C. S. (2005). A model for analyzing multichannel distribution systems.
*European Journal of Operations Research, 163*, 802–824.CrossRefGoogle Scholar - Anderson, E. T., Fong, N. M., Simester, D. I., & Tucker, C. E. (2010). How sales taxes affect customer and firm behavior: the role of search on the Internet.
*Journal of Marketing Research, 47*, 229–239.CrossRefGoogle Scholar - Balasubramanian, S. (1998). Mail versus mall: a strategic analysis of competition between direct marketers and conventional retailers.
*Marketing Science, 17*, 181–195.CrossRefGoogle Scholar - Bendoly, E., Blocher, D., Bretthauer, K., & Venkataramanan, M. A. (2007). Service and cost benefits through clicks-and-mortar integration: implications for the centralization/ decentralization debate.
*European Journal of Operations Research, 180*, 426–442.CrossRefGoogle Scholar - Bollapragada, S., Akella, R., & Srinivasan, R. (1998). Centralized ordering and allocation policies in a two-echelon system with non-identical warehouses.
*European Journal of Operations Research, 106*, 74–81.CrossRefGoogle Scholar - Boyaci, T. (2005). Competitive stocking and coordination in a multiple-channel distribution system.
*IIE Transactions, 37*, 407–427.CrossRefGoogle Scholar - Brodie, R. J., Winklhofer, H., Coviello, N. E., & Johnston, W. J. (2007). Is e-marketing coming of age? An examination of the penetration of e-marketing and firm performance.
*Journal of Interactive Marketing, 21*, 2–21.CrossRefGoogle Scholar - Brynjolfsson, E., & Smith, M. D. (2000). Frictionless commerce? A comparison of Internet and conventional retailers.
*Management Science, 46*, 563–585.CrossRefGoogle Scholar - Cai, G. (2010). Channel selection and coordination in dual-channel supply chains.
*Journal of Retailing, 86*, 22–36.CrossRefGoogle Scholar - Chiang, W. K., Chhajed, D., & Hess, J. D. (2003). Direct marketing, indirect profits: a strategic analysis of dual-channel supply-chain design.
*Management Science, 49*, 1–20.CrossRefGoogle Scholar - De Koster, R. B. M. (2003). Distribution strategies for online retailers.
*IEEE Transactions on Engineering Management, 50*, 448–457.CrossRefGoogle Scholar - Eppen, G. (1979). Effects of centralization on expected costs in a multi-location newsboy problem.
*Management Science, 25*(5), 498–501.CrossRefGoogle Scholar - Eppen, G., & Schrage, L. (1981). Centralized ordering policies in a multi-warehouse system with lead times and random demand. In L. B. Schwarz (Ed.),
*Multi-level production/inventory systems: Theory and practice*. North-Holland: TIMS Studies in Management Sciences.Google Scholar - Forman, C., Ghose, A., & Goldfarb, A. (2009). Competition between local and electronic markets: how the benefit of buying online depends on where you live.
*Management Science, 55*, 47–57.CrossRefGoogle Scholar - Forrester Research. (2007). The state of retailing online 2006. www.forrester.com.
- Frazier, G. L. (1999). Organizing and managing channels of distribution.
*Journal of the Academy of Marketing Science, 27*, 226–240.CrossRefGoogle Scholar - Frazier, G. L. (2009). Physical distribution and channel management: a knowledge and capabilities perspective.
*Journal of Supply Chain Management, 45*, 23–36.CrossRefGoogle Scholar - Gong, Y., & De Koster, R. B. M. (2008). A polling-based dynamic order picking system for online retailers.
*IIE Transactions, 40*, 1070–1082.CrossRefGoogle Scholar - Hill, R. R., & Watkins, A. R. (2009). The profit implications of altruistic versus egoistic orientations for business-to-business exchanges.
*International Journal of Research in Marketing, 26*, 52–59.CrossRefGoogle Scholar - Hill, A. V., Collier, D. A., Froehle, C. M., Goodale, J. C., Metters, R. D., & Verma, R. (2002). Research opportunities in service process design.
*Journal of Operations Management, 20*, 189–202.CrossRefGoogle Scholar - Jing, X., & Lewis, M. (2011). Stockouts in online retailing.
*Journal of Marketing Research, 48*, 342–354.CrossRefGoogle Scholar - Kwon, W. S., & Lennon, S. J. (2009). Reciprocal effects between Multichannel retailers’ offline and online brand images.
*Journal of Retailing, 85*, 376–390.CrossRefGoogle Scholar - Mahar, S., Bretthauer, K., & Venkataramanan, M. A. (2009). The value of virtual pooling in dual sales channel supply chains.
*European Journal of Operational Research, 192*, 561–575.CrossRefGoogle Scholar - Mahar, S. P., Wright, D., & Bretthauer, K. (2011). Dual channel supply chains: challenges and opportunities in e-fulfillment.
*Production and Inventory Management Journal, 47*, 14–30.Google Scholar - Malkoc, S. A., & Zauberman, G. (2006). Deferring versus expediting consumption: the effect of outcome.
*Journal of Marketing Research, 43*, 705–718.CrossRefGoogle Scholar - Miller, P. (2004). In-store pickup pitfalls and payoffs.
*Catalog Age, December*, 27.Google Scholar - Min, H., Ko, H. J., & Ko, C. S. (2006). A Genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns.
*Omega, 34*, 56–69.CrossRefGoogle Scholar - Mollenkopf, D., Rabinovich, E., Laseter, T. M., & Boyer, K. K. (2007). Managing Internet product returns: a focus on effective service operations.
*Decision Sciences, 38*, 215–250.CrossRefGoogle Scholar - Mukhopadhyay, S. K., & Setoputro, R. (2004). Reverse logistics in e-business.
*International Journal of Physical Distribution and Logistics Management, 34*, 70–88.CrossRefGoogle Scholar - Netessine, S., & Rudi, N. (2006). Supply chain choice on the Internet.
*Management Science, 52*, 844–864.CrossRefGoogle Scholar - Ofec, E., Katona, Z., & Sarvary, M. (2011). “Bricks and clicks:” the impact of product returns on the strategies of multichannel retailers.
*Marketing Science, 30*, 42–62.CrossRefGoogle Scholar - Randall, T., Netessine, S., & Rudi, N. (2006). An empirical examination of the decision to invest in fulfillment capabilities: a study of Internet retailers.
*Management Science, 52*, 567–580.CrossRefGoogle Scholar - Sharma, A., & Sheth, J. N. (2004). Web-based marketing: the coming revolution in marketing thought and strategy.
*Journal of Business Strategy, 57*, 696–702.Google Scholar - Spencer, J. (2003). “I ordered that?” Web retailers make it easier to r
*eturn*goods.*Wall Street Journal—Eastern Edition, 242*, D1–D2.Google Scholar - Stewart, D. W., & Zhao, Q. (2000). Internet marketing, business models, and public policy.
*Journal of Public Policy and Marketing, 19*, 287–296.CrossRefGoogle Scholar - Syam, S., & Bhatnagar, A. (2010). A decision model for e-commerce-enabled partial market exit.
*Journal of Retailing, 86*, 401–413.CrossRefGoogle Scholar - Tang, F. F., & Xing, X. (2001). Will the growth of multichannel retailing diminish the pricing efficiency of the Web?
*Journal of Retailing, 77*, 319–333.CrossRefGoogle Scholar - Tarn, J. M., Razi, M. A., & Wen, H. J. (2003). E-fulfillment: the strategy and operational requirements.
*Logistics Information Management, 16*, 350–362.CrossRefGoogle Scholar - Viswanathan, S. (2005). Competing across technology-differentiated channels: the impact of network externalities and switching costs.
*Management Science, 51*, 483–496.CrossRefGoogle Scholar - Zhang, Z., Farris, P. W., Irvin, J. W., Kushwaha, T., Steenburgh, T. J., & Weitz, B. A. (2010). Crafting integrated multichannel retailing strategies.
*Journal of Interactive Marketing, 24*, 168–180.CrossRefGoogle Scholar