Analytics for an online retailer: Demand forecasting and price optimization

Manufacturing and Service Operations Management

Volumn 18, Issue 1, 2016, Pages 69-88

  Ferreira, Kris Johnson ^a   Lee, Bin Hong Alex ^b   Simchi Levi, David ^c  

^a HARVARD BUSINESS SCHOOL   (United States)

^b MASSACHUSETTS INSTITUTE OF TECHNOLOGY   (United States)

^c Massachusetts Institute of Technology   (United States)

Author keywords

Demand forecasting; Demand interdependency; Flash sales; Initial pricing; Machine learning; Model implementation; Online retailing; Price optimization; Regression trees; Revenue management

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; ECONOMICS; ELECTRONIC COMMERCE; FORECASTING; LEARNING SYSTEMS; OPTIMIZATION; SALES;

DEMAND FORECASTING; DEMAND INTERDEPENDENCY; MODEL IMPLEMENTATION; ONLINE RETAILING; REGRESSION TREES; REVENUE MANAGEMENT;

COSTS;

EID: 84956862111     PISSN: 15234614     EISSN: 15265498     Source Type: Journal    
DOI: 10.1287/msom.2015.0561     Document Type: Article

References (38)

1. Anupindi R, Dada M, Gupta S (1998) Estimation of consumer demand with stock-out based substitution: An application to vending machine products. Marketing Sci. 17(4):406-423.
2. Berry S, Levinsohn J, Pakes A (1995) Automobile prices in market equilibrium. Econometrica 63(4):841-890.
3. Birge J, Drogosz J, Duenyas I (1998) Setting single-period optimal capacity levels and prices for substitutable products. Internat. J. Flexible Manufacturing Systems 10(4):407-430.
4. Bitran G, Caldentey R (2003) An overview of pricing models for revenue management. Manufacturing Service Oper. Management 5(3):203-229.
5. Caro F, Gallien J (2012) Clearance pricing optimization for a fastfashion retailer. Oper. Res. 60(6):1404-1422.
6. Choi TM (2007) Pre-season stocking and pricing decisions for fashion retailers with multiple information updating. Internat. J. Production Econom. 106(1):146-170.
7. Corder GW, Foreman DI (2014) Nonparametric Statistics: A Step-by-Step Approach (John Wiley & Sons, Hoboken, NJ).
8. Du D, Pardalos P (1998) Handbook of Combinatorial Optimization, Vol. 1 (Springer, Boston).
9. Elmaghraby W, Keskinocak P (2003) Dynamic pricing in the presence of inventory considerations: Research overview, current practices, and future directions. Management Sci. 49(10): 1287-1309.
10. Emery F (1970) Some psychological aspects of price. Taylor B, Wills G, eds. Pricing Strategy (Brandon/Systems Press, Princeton, NJ), 98-111.
11. Everitt B, Landau S, Leese M, Stahl D (2011) Cluster Analysis, 5th ed. (John Wiley & Sons, West Sussex, UK).
12. Ferreira KJ, Simchi-Levi D (2015) Choosing an assortment rotation strategy to boost sales. Working paper, Harvard Business School, Boston.
13. Ferreira KJ, Simchi-Levi D, Wang H (2015) Online network revenue management using Thompson sampling. Working paper, Harvard Business School, Boston.
14. Garro A (2011) New product demand forecasting and distribution optimization: A case study at Zara. Doctoral Dissertation, Massachusetts Institute of Technology, Cambridge.
15. Gaur V, Fisher ML (2005) In-store experiments to determine the impact of price on sales. Production Oper. Management 14(4): 377-387.
16. Hastie T, Tibshirani R, Friedman J (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd ed. (Springer, New York).
17. Lau LC, Ravi R, Singh M (2011) Iterative Methods in Combinatorial Optimization (Cambridge University Press, Cambridge, UK).
18. Levy M, Grewal D, Kopalle PK, Hess JD (2004) Emerging trends in retail pricing practice: Implications for research. J. Retailing 80(3):xiii-xxi.
19. Little J, Shapiro J (1980) A theory for pricing nonfeatured products in supermarkets. J. Bus. 53(3):S199-S209.
20. Local Offer Network (2011) The daily deal phenomenon: A year in review. Report, Local Offer Network, Chicago.
21. Maddah B, Bish E (2007) Joint pricing, assortment, and inventory decisions for a retailers product line. Naval Res. Logist. 54(3):315-330.
22. Mazumdar T, Raj SP, Sinha I (2005) Reference price research: Review and propositions. J. Marketing 69(4):84-102.
23. McKitterick W (2015) Online fashion sample sales in the US: Market Research Report. Technical report, IBISWorld Industry, http://www.ibisworld.com/.
24. Musalem A, Olivares M, Bradlow ET, Terwiesch C, Corsten D (2010) Structural estimation of the effect of out-of-stocks. Management Sci. 56(7):1180-1197.
25. Natter M, Reutterer T, Mild A, Taudes A (2007) Practice prize report-An assortmentwide decision-support system for dynamic pricing and promotion planning in DIY retailing. Marketing Sci. 26(4):576-583.
26. Ostapenko N (2013) Online discount luxury: In search of guilty customers. Internat. J. Bus. Soc. Res. 3(2):60-68.
27. Özer O, Phillips R, eds. (2012) The Oxford Handbook of Pricing Management (Oxford University Press, Oxford, UK).
28. Reibstein D, Gatignon H (1984) Optimal product line pricing: The influence of elasticities and cross-elasticities. J. Bus. 21(3): 259-267.
29. Rice JA (2006) Mathematical Statistics and Data Analysis, 3rd. ed. (Cengage Learning, Belmont, CA).
30. Şen A (2008) The U.S. fashion industry: A supply chain review. Internat. J. Production Econom. 114(2):571-593.
31. Smith S, Achabal D (1998) Clearance pricing and inventory policies for retail chains. Management Sci. 44(3):285-300.
32. Strobl C, Boulesteix AL, Kneib T, Augustin T, Zeileis A (2008) Conditional variable importance for random forests. BMC Bioinformatics 9(1):307.
33. Subrahmanyan S (2000) Using quantitative models for setting retail prices. J. Product Brand Management 9(5):304-320.
34. Talluri KT, van Ryzin GJ (2005) The Theory and Practice of Revenue Management (Springer, New York).
35. Vulcano G, van Ryzin G, Ratliff R (2012) Estimating primary demand for substitutable products from sales transaction data. Oper. Res. 60(2):313-334.
36. Winer R (1985) A price vector model of demand for consumer durables: Preliminary developments. Marketing Sci. 4(1):74-90.
37. Wolverson R (2012) High and low: Online flash sales go beyond fashion to survive. Time Magazine 180(19):9-12.
38. Wu J, Li L, Xu LD (2014) A randomized pricing decision support system in electronic commerce. Decision Support Systems 58(1): 43-52.