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- October 2021
- Case
Diversifying P&G's Supplier Base (A)
By: Kris Ferreira, Kym Lew Nelson, Carin-Isabel Knoop and Sarah Mehta
In February 2003, P&G hosted two meetings—one with its largest woman- and minority-owned suppliers and one with its largest non-minority-owned suppliers. Attendees in each meeting heard the same message: P&G was keen to grow its commitment to inclusive supply chains,...
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- October 2021
- Supplement
Diversifying P&G's Supplier Base (B)
By: Kris Ferreira, Kym Lew Nelson, Carin-Isabel Knoop and Sarah Mehta
This (B) case accompanies the (A) case of the same title.
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- September 2021
- Teaching Note
GHN and AhaMove: Last-Mile Delivery in Vietnam
By: Kris Ferreira, Joel Goh and Dawn H. Lau
Teaching Note for HBS Case No. 619-051.
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- 2021
- Working Paper
Demand Learning and Pricing for Varying Assortments
By: Kris Ferreira and Emily Mower
- March 2021
- Article
Assortment Rotation and the Value of Concealment
By: Kris J. Ferreira and Joel Goh
Assortment rotation—the retailing practice of changing the assortment of products offered to customers—has recently been used as a competitive advantage for both brick-and-mortar and online retailers. We focus on product categories where consumers may purchase multiple...
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- February 2021
- Case
Drizly: Managing Supply and Demand through Disruption
By: Kris Ferreira
It was April 6th, 2020, and the management team at Drizly—an online alcohol marketplace where consumers could browse and purchase alcohol from local liquor retail stores via Drizly’s app for immediate home delivery—were thrilled to see record-breaking sales from the...
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- September 2020
- Case
JOANN: Joannalytics Inventory Allocation Tool
By: Kris Ferreira and Srikanth Jagabathula
Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and...
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Keywords:
Analytics;
Machine Learning;
Optimization;
Inventory Management;
Mathematical Methods;
Decision Making;
Operations;
Supply Chain Management;
Resource Allocation;
Distribution;
Technology Adoption;
Software;
Change Management;
Fashion Industry;
Consumer Products Industry;
Retail Industry;
United States;
Ohio
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools...
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- 2020
- Working Paper
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris Ferreira and Ryan McNellis
As more commerce and media consumption are being conducted online, a wealth of new opportunities are emerging for personalized advertising. We propose a general methodology, Model Trees for Personalization (MTP), for tackling a broad class of personalized...
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- December 2019
- Article
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even...
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- June 2019 (Revised September 2021)
- Case
GHN and AhaMove: Last-Mile Delivery in Vietnam
By: Kris Ferreira, Joel Goh, Dawn Lau and Tuan Phan
- 2019
- Working Paper
The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment
By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira
Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even...
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- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must...
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Keywords:
Online Marketing;
Revenue Management;
Revenue;
Management;
Marketing;
Internet;
Price;
Mathematical Methods
- 2017
- Working Paper
Intermediation in the Supply of Agricultural Products in Developing Economies
Problem Definition: Farmers face several challenges in agricultural supply chains in emerging economies that contribute to extreme levels of poverty. One common challenge is that farmers only have access to one channel, often an auction, for which to sell their crops....
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- March 2017 (Revised August 2021)
- 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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- 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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- Article
Analyzing Scrip Systems
By: Kris Johnson, David Simchi-Levi and Peng Sun
Scrip systems provide a nonmonetary trade economy for exchange of resources. We model a scrip system as a stochastic game and study system design issues on selection rules to match potential trade partners over time. We show the optimality of one particular rule in...
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