Estimating the Demand Spillover Effect of Inventory Stockouts in a Fashion Footwear Retail Setting

Songtao Li, Lauren Xiaoyuan Lu, S. F. Lu, Simin Huang
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Abstract

Problem Definition: In brick-and-mortar fashion retail stores, inventory stockouts are frequent and widespread. When a specific size of a fashion product is out-of-stock, the unmet demand might not be completely lost due to spillovers to adjacent sizes of the same product. We empirically estimate this cross-size demand spillover effect of inventory stockouts in a fashion retail setting.

Academic/Practical Relevance: Little research has been done to study consumer responses to stockouts of fashion products, partly due to researchers’ inaccessibility to proprietary data of fashion retailers. Moreover, it is challenging to estimate stockout-based substitution patterns using existing approaches due to the enormous number of stock keeping units (SKUs) and frequent stockouts in fashion retail stores.

Methodology: We obtain a large-scale data set from one of the largest sportswear retail chains in China, whose retail stores are dedicated to distributing products of a single world-renowned brand. Employing around 1.5 million granular and real-time sales and inventory records of 217 stores, 503 men’s footwear products, and 4,024 SKUs over a two-year period, we develop a difference-in-differences framework to estimate the demand spillover effect of inventory stockouts. We demonstrate the validity of this framework by conducting a pre-trend test and a placebo test.

Results: We find that on average the stockout of a men’s footwear SKU led to a 23.0% increase in the daily sales of the adjacent-larger-size SKU of the same product and a 19.8% increase in the daily sales of the adjacent-smaller-size SKU of the same product. The magnitude of the cross-size demand spillover effect is larger in regular stores than in flagship stores or stores in prominent locations, larger for casual sports shoes than for specialized sports shoes, and larger for low-price products than for high-price products. We do not find evidence that the stockout of a footwear SKU would lead to a significant change in the daily sales of the same-size SKUs of other products.

Managerial Implications: At the store level, we recommend the sales staff to encourage consumers to try adjacent larger/smaller-size SKUs when their most preferred size is out-of-stock. At the corporate level, our counterfactual analysis demonstrates that incorporating the cross-size demand spillover effect into the sportswear retail chain’s proactive transshipment decision can reduce its transshipment cost substantially and improve its profitability.
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时尚鞋业库存缺货的需求溢出效应估计
问题定义:在实体时装零售商店,库存缺货是频繁和普遍的。当一种特定尺寸的时尚产品缺货时,未满足的需求可能不会因为溢出效应而完全消失,因为溢出效应会影响到相邻尺寸的相同产品。我们在经验上估计了库存缺货在时尚零售环境下的这种跨规模需求溢出效应。学术/实际意义:很少有研究研究消费者对时尚产品缺货的反应,部分原因是研究人员无法获得时尚零售商的专有数据。此外,由于大量的库存单位(sku)和时尚零售商店的频繁缺货,使用现有方法估计基于缺货的替代模式是具有挑战性的。方法:我们从中国最大的运动服装零售连锁店之一获得大规模数据集,该连锁店致力于分销单一世界知名品牌的产品。利用217家商店、503种男士鞋类产品和4,024个sku在两年时间内的约150万份实时销售和库存记录,我们开发了一个差异中的差异框架来估计库存缺货的需求溢出效应。我们通过进行趋势前测试和安慰剂测试来证明这一框架的有效性。结果:我们发现,平均而言,男士鞋类SKU缺货导致同一产品相邻较大尺寸SKU的日销售额增加23.0%,相邻较小尺寸SKU的日销售额增加19.8%。跨尺寸需求溢出效应的大小在普通店大于旗舰店或显著位置店,休闲运动鞋大于专业运动鞋,低价产品大于高价产品。我们没有发现证据表明鞋类SKU的缺货会导致其他产品相同尺寸SKU的日常销售发生重大变化。管理启示:在商店层面,我们建议销售人员鼓励消费者在他们最喜欢的尺寸缺货时尝试相邻的较大/较小的sku。在企业层面,我们的反事实分析表明,将跨规模需求溢出效应纳入运动服装零售连锁企业的主动转运决策中,可以显著降低其转运成本,提高其盈利能力。
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