The Impact of Disclosing Inventory-Scarcity Messages on Sales in Online Retailing

To influence demand, some online retailers post messages (e.g., “5 units or less left in stock”) on their product pages to signal impending stockouts. These “scarcity” messages provide consumers “partial” inventory information, revealing only an upper bound on the number of units available for sale. To examine the impact of these messages, we obtained price and sales data from an online-retailer website across a sample of durable goods before and after the retailer posted these messages over multiple inventory-replenishment cycles. We then used these data to assess empirically the effect of these messages on these products’ daily sales. We find that disclosing these messages can decrease daily sales by an average of 17.60%. This finding suggests that scarcity messages such as these can have a negative influence on the sales prospects of durable goods. We also observe, on the other hand, that price discounts are quite effective in increasing sales and offsetting the losses induced by scarcity messages. On average, a reduction of 1% in SKU price increases daily sales by approximately 3%. Therefore, relative to disclosing scarcity messages, price discounts are a much more effective tool at increasing inventory turns.

[1]  Serguei Netessine,et al.  Revenue Management with Strategic Customers: Last-Minute Selling and Opaque Selling , 2010, Manag. Sci..

[2]  David S. Lee,et al.  Regression Discontinuity Designs in Economics , 2009 .

[3]  Hyoduk Shin,et al.  Sharing Aggregate Inventory Information with Customers: Strategic Cross-Selling and Shortage Reduction , 2016, Manag. Sci..

[4]  Gérard P. Cachon,et al.  Does Adding Inventory Increase Sales? Evidence of a Scarcity Effect in U.S. Automobile Dealerships , 2017, Manag. Sci..

[5]  Anantaram Balakrishnan,et al.  Integrating the Promotional and Service Roles of Retail Inventories , 2005, Manuf. Serv. Oper. Manag..

[6]  Timothy M. Laseter,et al.  Through the service operations strategy looking glass: Influence of industrial sector, ownership, and service offerings on B2B e-marketplace failures , 2011 .

[7]  Martin A. Koschat Store inventory can affect demand: Empirical evidence from magazine retailing , 2008 .

[8]  Erik Brynjolfsson,et al.  Consumer Decision-Making at an Internet Shopbot , 2001 .

[9]  Joshua D. Angrist,et al.  Mostly Harmless Econometrics: An Empiricist's Companion , 2008 .

[10]  J. Wooldridge,et al.  Solutions manual and supplementary material for econometric analysis of cross section and panel data, second edition , 2007 .

[11]  Timothy L. Urban Inventory models with inventory-level-dependent demand: A comprehensive review and unifying theory , 2005, Eur. J. Oper. Res..

[12]  Carlos Dobkin,et al.  The Effect of Health Insurance Coverage on the Use of Medical Services , 2010 .

[13]  O. Linton,et al.  Nonparametric estimation and inference about the overlap of two distributions , 2012 .

[14]  Disclosing Product Availability in Online Retail , 2018 .

[15]  E. Rabinovich,et al.  The role of physical distribution services as determinants of product returns in Internet retailing , 2014 .

[16]  J. Chevalier,et al.  Measuring Prices and Price Competition Online: Amazon.com and BarnesandNoble.com , 2003 .

[17]  Christopher S. Tang,et al.  Mitigating the adverse impact of strategic waiting in dynamic pricing settings: A study of two sales mechanisms , 2009 .

[18]  Erik Brynjolfsson,et al.  Frictionless Commerce? A Comparison of Internet and Conventional Retailers , 2000 .

[19]  Elliot Rabinovich,et al.  Unlimited shelf space in Internet supply chains: Treasure trove or wasteland? , 2011 .

[20]  Victor Martínez-de-Albéniz,et al.  Estimating and Optimizing the Impact of Inventory on Consumer Choices in a Fashion Retail Setting , 2020, Manuf. Serv. Oper. Manag..

[21]  Olivia R. Liu Sheng,et al.  Online Consumer Search Depth: Theories and New Findings , 2006, J. Manag. Inf. Syst..

[22]  Kenneth K. Boyer,et al.  Factors influencing the utilization of Internet purchasing in small organizations , 2003 .

[23]  Dennis J. Zhang,et al.  Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon , 2016, Manag. Sci..

[24]  Anníbal C. Sodero,et al.  An Empirical Analysis of How Inventory Levels and Prices Affect Online Retail Sales , 2017 .

[25]  M. Lynn Scarcity effects on value: A quantitative review of the commodity theory literature , 1991 .

[26]  J. Angrist Mostly Harmless Econometrics , 2008 .

[27]  Anníbal C. Sodero,et al.  Demand and Revenue Management of Deteriorating Inventory on the Internet: An Empirical Study of Flash Sales Markets , 2017 .

[28]  Ruomeng Cui,et al.  Learning from Inventory Availability Information: Evidence from Field Experiments on Amazon , 2019, Manag. Sci..

[29]  Anantaram Balakrishnan,et al.  "Stack Them High, Let 'em Fly": Lot-Sizing Policies When Inventories Stimulate Demand , 2004, Manag. Sci..

[30]  J. Bakos Reducing buyer search costs: implications for electronic marketplaces , 1997 .

[31]  Christopher S. Tang,et al.  Consumer-Driven Demand and Operations Management Models: A Systematic Study of Information-Technology-Enabled Sales Mechanisms , 2009 .

[32]  David Simchi-Levi,et al.  Analytics for an Online Retailer: Demand Forecasting and Price Optimization , 2016, Manuf. Serv. Oper. Manag..

[33]  Timothy C. Brock,et al.  10 – Implications of Commodity Theory for Value Change1 , 1968 .

[34]  Aleda V. Roth,et al.  E-services: operating strategy—a case study and a method for analyzing operational benefits , 2002 .

[35]  Noah Lim,et al.  OM Forum - Causal Inference Models in Operations Management , 2017, Manuf. Serv. Oper. Manag..

[36]  Stanley E. Griffis,et al.  Failure to deliver? Linking online order fulfillment glitches with future purchase behavior , 2011 .

[37]  Euthemia Stavrulaki,et al.  Integrating the Promotional and Service Roles of Retail Inventories , 2005 .

[38]  Patrick DeGraba Buying Frenzies and Seller-Induced Excess Demand , 1995 .

[39]  Kenneth K. Boyer,et al.  Operational, Economic and Mission Elements in Not-For-Profit Organizations: The Case of the Chicago Symphony Orchestra , 2005 .

[40]  Jun Li,et al.  Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments , 2017, Manag. Sci..