Publications
Publications
- October 2021 (Revised June 2022)
- HBS Case Collection
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Abstract
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once the objective function was defined, they could plan the season and choose which products to markdown and by how much, which additional promotions to apply and when, and how much to spend on online marketing. But what was the right objective function? Should they focus on revenues, margins, or the sell-through of older inventory? Each department had different views. The case supplement spreadsheet contains a simplified version of the AI system to allow students to examine the effect of different strategic and tactical decisions and make data informed choices and arguments, in addition to the information provided in the case.
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; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Citation
Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Case 522-046, October 2021. (Revised June 2022.)