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- Faculty Publications (62)
- May 2020
- Article
Inventory Auditing and Replenishment Using Point-of-Sales Data
By: Achal Bassamboo, Antonio Moreno and Ioannis Stamatopoulos
Spoilage, expiration, damage due to employee/customer handling, employee theft, and customer shoplifting usually are not reflected in inventory records. As a result, records often report phantom inventory, i.e., units of good not available for sale. We derive an...
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Keywords:
Shelf Availability;
Inventory Record Inaccuracy;
Optimal Replenishment;
Retail Analytics;
Performance Effectiveness;
Analysis;
Mathematical Methods
Bassamboo, Achal, Antonio Moreno, and Ioannis Stamatopoulos. "Inventory Auditing and Replenishment Using Point-of-Sales Data." Production and Operations Management 29, no. 5 (May 2020): 1219–1231.
- March 2019
- Case
HOPI: Turkey's Shopping Companion
By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu
The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer...
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Keywords:
Loyalty Programs;
Multi-vendor Platform;
Retail;
Big Data;
Customer Relationship Management;
Mobile and Wireless Technology;
Business Model;
Analytics and Data Science;
Competitive Strategy;
Decision Making;
Applications and Software;
Digital Platforms;
Retail Industry;
Retail Industry;
Turkey
Gupta, Sunil, Donald Ngwe, and Gamze Yucaoglu. "HOPI: Turkey's Shopping Companion." Harvard Business School Case 519-057, March 2019.
- February 2019
- Case
Miroglio Fashion (A)
By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can...
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Keywords:
Inventory Management;
Demand Forecasting;
Artificial Intelligence;
Machine Learning;
Forecasting and Prediction;
Operations;
Management;
Decision Making;
AI and Machine Learning;
Apparel and Accessories Industry;
Fashion Industry
Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
- 2020
- Working Paper
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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Keywords:
Customer Management;
Targeting;
Deep Exponential Families;
Probabilistic Machine Learning;
Cold Start Problem;
Customer Relationship Management;
Customer Value and Value Chain;
Consumer Behavior;
Analytics and Data Science;
Mathematical Methods;
Retail Industry
Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
- November 2017
- Teaching Note
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Brands;
Brand & Product Management;
Big Data;
"Marketing Analytics";
Consumer Behavior;
Predictive Analytics;
Forecasting;
Preferences;
Operation Management;
Distribution Channels;
Marketing;
Marketing Channels;
Marketing Strategy;
Brands and Branding;
Forecasting and Prediction;
Data and Data Sets;
Retail Industry;
Retail Industry;
Retail Industry;
United States;
North America
- October 2017 (Revised July 2018)
- Case
Data Science at Target
By: Srikant M. Datar and Caitlin N. Bowler
Paritosh Desai joined Target.com in 2013 as VP of Business Intelligence, Analytics & Testing to explore how the retailer could use its relatively small but thriving e-commerce arm to drive sales and win customers. The case explores the technological and organizational...
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Keywords:
Data Science;
Analytics and Data Science;
Organizational Change and Adaptation;
Competitive Strategy;
Problems and Challenges;
Innovation Leadership
Datar, Srikant M., and Caitlin N. Bowler. "Data Science at Target." Harvard Business School Case 118-016, October 2017. (Revised July 2018.)
- May 2017 (Revised March 2018)
- Case
Predicting Consumer Tastes with Big Data at Gap
By: Ayelet Israeli and Jill Avery
CEO Art Peck was eliminating his creative directors for The Gap, Old Navy, and Banana Republic brands and promoting a collective creative ecosystem fueled by the input of big data. Rather than relying on artistic vision, Peck wanted the company to use the mining of big...
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Keywords:
Retailing;
Preference Elicitation;
Big Data;
Predictive Analytics;
Artificial Intelligence;
Fashion;
Marketing;
Marketing Strategy;
Marketing Channels;
Brands and Branding;
Consumer Behavior;
Demand and Consumers;
Analytics and Data Science;
Forecasting and Prediction;
E-commerce;
Retail Industry;
Retail Industry;
Retail Industry;
Retail Industry;
United States;
Canada;
North America
Israeli, Ayelet, and Jill Avery. "Predicting Consumer Tastes with Big Data at Gap." Harvard Business School Case 517-115, May 2017. (Revised March 2018.)
- March 2017 (Revised March 2022)
- Case
Flashion: Art vs. Science in Fashion Retailing
By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can...
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Keywords:
Analytics;
Pricing;
Data;
Service Operations;
Forecasting and Prediction;
Internet and the Web;
Technology Adoption;
Mathematical Methods;
Decision Making;
E-commerce;
Retail Industry;
Retail Industry;
United States
Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
- Fall 2016
- Article
The Impact of Supplier Inventory Service Level on Retailer Demand
By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier’s service level on demand from...
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Keywords:
Demand and Consumers;
Service Delivery;
Supply Chain;
Order Taking and Fulfillment;
Retail Industry
Craig, Nathan, Nicole DeHoratius, and Ananth Raman. "The Impact of Supplier Inventory Service Level on Retailer Demand." Manufacturing & Service Operations Management 18, no. 4 (Fall 2016): 461–474.
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time...
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Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- April 2015 (Revised March 2017)
- Case
Instacart and the New Wave of Grocery Startups
By: John Deighton and Leora Kornfeld
Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory...
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Keywords:
Food Retailing;
Outsourced Grocery Delivery;
Online Ordering;
Dynamic Pricing;
Data Analytics;
Marketing Strategy;
Food;
Distribution Channels;
Business Startups;
Food and Beverage Industry;
California
Deighton, John, and Leora Kornfeld. "Instacart and the New Wave of Grocery Startups." Harvard Business School Case 515-089, April 2015. (Revised March 2017.)
- Article
Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information
By: Santiago Gallino and Antonio Moreno
Using a proprietary data set, we analyze the impact of the implementation of a “buy-online, pick-up-in-store” (BOPS) project. The implementation of this project is associated with a reduction in online sales and an increase in store sales and traffic. These results can...
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Keywords:
Retail Operations;
Inventory Availability;
Empirical Operations Management;
Business Analytics;
Online Retail;
Ecommerce;
Operations;
Management;
Distribution Channels;
Consumer Behavior;
E-commerce;
Retail Industry
Gallino, Santiago, and Antonio Moreno. "Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information." Management Science 60, no. 6 (June 2014): 1434–1451. (Finalist of Management Science Best Paper award in Operations Management.)
- August 2013 (Revised August 2014)
- Case
Catalina In the Digital Age
By: Robert J. Dolan and Uma R. Karmarkar
Catalina in the Digital Age considers how a company with a dominant market position should evolve its established product lines given the rise of novel digital technologies. Since its founding in 1983, Catalina had enjoyed a distinct position in the world of consumer...
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Keywords:
Big Data;
Digital Technologies;
Marketing;
Customer Relationship Management;
Consumer Behavior;
Analytics and Data Science
Dolan, Robert J., and Uma R. Karmarkar. "Catalina In the Digital Age." Harvard Business School Case 514-021, August 2013. (Revised August 2014.)
- April 2013
- Case
Managing with Analytics at Procter & Gamble
By: Thomas H. Davenport, Marco Iansiti and Alain Serels
Senior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to...
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Keywords:
Analytics;
Data Management;
Forecasting;
Shared Services;
Procter & Gamble;
Laundry Detergent;
Information Management;
Forecasting and Prediction;
Information Technology;
Mathematical Methods;
Consumer Products Industry;
North America
Davenport, Thomas H., Marco Iansiti, and Alain Serels. "Managing with Analytics at Procter & Gamble." Harvard Business School Case 613-045, April 2013.
- 2016
- Working Paper
The Impact of Supplier Inventory Service Level on Retailer Demand
By: Nathan Craig, Nicole DeHoratius and Ananth Raman
To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the impact of a supplier's service level on demand from...
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Keywords:
Customer Satisfaction;
Forecasting and Prediction;
Learning;
Consumer Behavior;
Service Delivery;
Performance Expectations;
Apparel and Accessories Industry;
Service Industry
Craig, Nathan, Nicole DeHoratius, and Ananth Raman. "The Impact of Supplier Inventory Service Level on Retailer Demand." Working Paper. (Revised January 2016.)
- July 2010
- Supplement
Marketing Analysis Toolkit: Pricing and Profitability Analysis (CW)
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability...
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- July 2010 (Revised December 2011)
- Background Note
Marketing Analysis Toolkit: Pricing and Profitability Analysis
By: Thomas J. Steenburgh and Jill Avery
Pricing is one of the most difficult decisions marketers make and the one with the most direct and immediate impact on the firm's financial position. This toolkit will introduce the fundamental terminology and calculations associated with pricing and profitability...
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Keywords:
Forecasting and Prediction;
Price;
Profit;
Management Analysis, Tools, and Techniques;
Marketing Strategy;
Demand and Consumers;
Measurement and Metrics;
Strategic Planning;
Mathematical Methods;
Retail Industry
Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Pricing and Profitability Analysis." Harvard Business School Background Note 511-028, July 2010. (Revised December 2011.)
- 2010
- Book
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance
By: Marshall Fisher and Ananth Raman
Retailers today are drowning in data but lacking in insight: They have huge volumes of information at their disposal. But they're unsure of how to sort through it and use it to make smart decisions. The result? They're struggling with profit-sapping supply chain...
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Keywords:
Profit;
Knowledge Use and Leverage;
Logistics;
Supply Chain Management;
Mathematical Methods;
Retail Industry
Fisher, Marshall, and Ananth Raman. The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance. Harvard Business Press, 2010.
- October 2001 (Revised October 2017)
- Case
Store24 (A): Managing Employee Retention
By: Frances X. Frei and Dennis Campbell
Provides a retailing context in which employee retention strategies are explored through analyzing detailed store-level data.
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Keywords:
Retention;
Management Analysis, Tools, and Techniques;
Analytics and Data Science;
Strategy;
Mathematical Methods;
Retail Industry
Frei, Frances X., and Dennis Campbell. "Store24 (A): Managing Employee Retention." Harvard Business School Case 602-096, October 2001. (Revised October 2017.)
- January 1995 (Revised November 1996)
- Case
Avalon Information Services, Inc.
By: Lynn S. Paine and Wilda White
The Privacy Review Committee of Avalon Information Services must decide how to deal with concerns voiced by its retail supermarket customers about the privacy of consumer data collected through Avalon's point-of-sale data collection program. One customer is proposing...
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Keywords:
Mission and Purpose;
Safety;
Demand and Consumers;
Rights;
Analytics and Data Science;
Information Technology;
Ethics;
Information Industry
Paine, Lynn S., and Wilda White. "Avalon Information Services, Inc." Harvard Business School Case 395-036, January 1995. (Revised November 1996.)