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- Faculty Publications (84)
Show Results For
- All HBS Web (228)
- Faculty Publications (84)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
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Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- Research Summary
Overview
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the...
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- March 17, 2021
- Other Article
Beyond Pajamas: Sizing Up the Pandemic Shopper
By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations... View Details
While the pandemic is still playing out, our preliminary investigations... View Details
Keywords:
Retail;
Retail Analytics;
Consumer;
Pandemic;
COVID;
COVID-19;
Apparel;
Ecommerce;
Online Shopping;
Online Apparel;
Online Sales;
Returns;
CRM;
Customer Retention;
Customer Experience;
Customer Value;
Digital;
Customer Focus and Relationships;
Customers;
Health Pandemics;
Consumer Behavior;
Customer Relationship Management;
Internet and the Web;
Behavior;
E-commerce;
Retail Industry;
Retail Industry;
Retail Industry;
United States;
United Kingdom
Israeli, Ayelet, Eva Ascarza, and Laura Castrillo. "Beyond Pajamas: Sizing Up the Pandemic Shopper." Harvard Business School Working Knowledge (March 17, 2021).
- 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
- 12 Jul 2010
- Research & Ideas
Rocket Science Retailing: A Practical Guide
The New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance (Harvard Business Press). As a practical guide, The New Science of Retailing helps View Details
- August 2018
- Supplement
Garanti Payment Systems: Digital Transformation Strategy (B)
By: Shelle M. Santana and Esel Çekin
Supplements the (A) case. Işıl Akdemir Evlioğlu, executive vice president of marketing at Garanti Payment Systems (GPS), a subsidiary of Garanti Bank, is grappling with three questions. First, should GPS create its own mobile app for credit card customers or leverage...
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Keywords:
Loyalty Programs;
Campaign Management;
Campaign Enrollment;
Branding;
Customer Acquisition;
Regulations;
Regulatory Changes;
Bank;
Retail Bank;
Banking;
Payment Systems;
Installment;
Mobile App;
Call Center;
Data Analytics;
Digital;
Technology;
Banks and Banking;
Business Subsidiaries;
Mobile and Wireless Technology;
Credit Cards;
Brands and Branding;
Governing Rules, Regulations, and Reforms;
Decision Choices and Conditions;
Digital Transformation
Santana, Shelle M., and Esel Çekin. "Garanti Payment Systems: Digital Transformation Strategy (B)." Harvard Business School Supplement 519-015, August 2018.
- 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.)
- August 2018
- Case
Garanti Payment Systems: Digital Transformation Strategy (A)
By: Shelle M. Santana and Esel Çekin
Işıl Akdemir Evlioğlu, executive vice president of marketing at Garanti Payment Systems (GPS), a subsidiary of Garanti Bank, is grappling with three questions. First, should GPS create its own mobile app for credit card customers or leverage the bank’s already...
View Details
Keywords:
Loyalty Program;
Campaign Management;
Campaign Enrollment;
Branding;
Customer Acquisition;
Regulations;
Regulatory Changes;
Bank;
Retail Banks;
Banking;
Credit Card;
Payment Systems;
Installment;
Mobile App;
Call Center;
Data Analytics;
Digital Technology;
Banks and Banking;
Business Subsidiaries;
Mobile and Wireless Technology;
Credit Cards;
Brands and Branding;
Governing Rules, Regulations, and Reforms;
Decision Choices and Conditions;
Digital Transformation;
Financial Services Industry
Santana, Shelle M., and Esel Çekin. "Garanti Payment Systems: Digital Transformation Strategy (A)." Harvard Business School Case 519-014, August 2018.
- 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.
Janice H. Hammond
Janice H. Hammond is the Jesse Philips Professor of Manufacturing and the Senior Associate Dean for Culture and Community at Harvard Business School. She currently serves as coursehead for the new MBA required course, Data Science for Managers. She serves as... View Details
- 2020
- Working Paper
Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty
By: Pavithra Harsha, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson and Georgia Perakis
Supply uncertainty in produce supply chains presents major challenges to retailers. Supply shortages create frequent disruptions in terms of promised delivery times, quantity and quality delivered. To alleviate these challenges, dual sourcing--a strategy in which...
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Keywords:
Information Sharing;
Yield Uncertainty;
Ration Gaming;
Blockchain;
Supply Chain;
Risk and Uncertainty
Harsha, Pavithra, Ashish Jagmohan, Retsef Levi, Elisabeth Paulson, and Georgia Perakis. "Reverse Information Sharing: Reducing Costs in Supply Chains with Yield Uncertainty." MIT Sloan Research Paper, No. 6172-20, October 2020.
Kris Johnson Ferreira
Kris Ferreira is the Edgerley Family Associate Professor of Business Administration in the Technology and Operations Management (TOM) Unit. She teaches the Supply Chain Management course in the MBA elective curriculum and analytics in numerous Executive Education... View Details
Keywords:
retailing
- January 2021 (Revised May 2021)
- Case
Amazon Shopper Panel: Paying Customers for Their Data
By: Eva Ascarza and Ayelet Israeli
This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own...
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Keywords:
Data Analytics;
Data Privacy;
Data Management;
"Marketing Analytics";
Marketing Communication;
Marketing Research;
Data-driven Management;
E-Commerce Strategy;
Ethical Decision Making;
CRM;
Consumer Protection;
Targeted Advertising;
Targeted Policies;
Data Ownership;
Marketing;
Research;
Marketing Communications;
Analytics and Data Science;
Management;
Customer Relationship Management;
Ethics;
E-commerce;
Retail Industry;
Retail Industry;
United States
Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
- 29 Sep 2014
- Research & Ideas
Why Do Outlet Stores Exist?
that companies are capturing more data on customers than ever before—recording not only demographic information, but also details on every product purchase they make. "So much attention is being put on retail View Details
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the...
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Keywords:
Pricing;
Pricing Algorithms;
Dynamic Pricing;
Ecommerce;
Pricing Strategy;
Pricing And Revenue Management;
Apparel;
Singapore;
Startup;
Demand Estimation;
Data Analysis;
Data Analytics;
Exercise;
Price;
Internet and the Web;
Retail Industry;
Retail Industry;
Retail Industry;
Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- 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.)
- March 2009 (Revised June 2010)
- Case
Neck & Neck: Leveraging the Club Neck Information
Commercial Director Prado wonders how to leverage the loyalty card information to prepare the fall 2008 budget. The case discusses the value of subjective and objective information for profit-planning purposes. Spanish children's apparel retailer Neck & Neck uses...
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Keywords:
Customer Relationship Management;
Profit;
Knowledge Use and Leverage;
Marketing;
Consumer Behavior;
Retail Industry
Martinez-Jerez, Francisco de Asis, Jasmijn Bol, Christopher Ittner, and Katherine Miller. "Neck & Neck: Leveraging the Club Neck Information." Harvard Business School Case 109-070, March 2009. (Revised June 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.)
- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing...
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Keywords:
Algorithmic Data;
Race And Ethnicity;
Promotion;
"Marketing Analytics";
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeting;
Targeted Advertising;
Pricing Algorithms;
Ethical Decision Making;
Customer Heterogeneity;
Marketing;
Race;
Ethnicity;
Gender;
Diversity;
Prejudice and Bias;
Marketing Communications;
Analytics and Data Science;
Analysis;
Decision Making;
Ethics;
Customer Relationship Management;
E-commerce;
Retail Industry;
Retail Industry;
United States
Israeli, Ayelet, and Eva Ascarza. "Algorithmic Bias in Marketing." Harvard Business School Technical Note 521-020, September 2020. (Revised July 2022.)
- 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...
View Details