Offline Assortment Optimization in the Presence o an Online Channel

被引:66
作者
Dzyabura, Daria [1 ]
Jagabathula, Srikanth [1 ]
机构
[1] NYU, Stern Sch Business, New York, NY 10012 USA
基金
美国国家科学基金会;
关键词
assortment optimization; omnichannel; choice modeling; conjoint analysis; NESTED LOGIT MODEL; PRODUCT-LINE DESIGN; CONJOINT-ANALYSIS; CHOICE MODEL; PRICE OPTIMIZATION; REVENUE MANAGEMENT; HEURISTICS; ALGORITHMS; DECISIONS; NETWORK;
D O I
10.1287/mnsc.2016.2708
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Firms are increasingly selling through both offline and online channels, allowing customers to experience the touch and feel of product attributes before purchasing those products. Consequently, the selection of products offered offline affects the demand in both channels. We address how firms should select an optimal offline assortment to maximize profits across both channels; we call this the showcase decision problem. We incorporate the impact of physical evaluation on preferences into the consumer demand model. Under this model, we show that the decision problem is NP-hard. Analytically, we derive optimal results for special cases and near-optimal approximations for general cases. Empirically, we use conjoint analysis to identify changes in consumer preferences resulting from physically evaluating products. For this application, we demonstrate gains in expected revenue of up to 40% due to accounting for the impact of offline assortment on the online sales.
引用
收藏
页码:2767 / 2786
页数:20
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