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  • August 2022
  • Supplement
  • HBS Case Collection

Zalora: Data-Driven Pricing Recommendations

By: Ayelet Israeli
  • Format:Print
  • | Language:English
  • | Pages:6
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Abstract

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 pricing question presented in the case. The students analyze those reports to facilitate learnings about data generating process, descriptive analysis, statistical analysis, and other aspects important for data driven decision making.

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; Apparel and Accessories Industry; Retail Industry; Fashion Industry; Singapore

Citation

Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
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About The Author

Ayelet Israeli

Marketing
→More Publications

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  • Cann: High Hopes for Cannabis Infused Beverages By: Ayelet Israeli and Anne V. Wilson
  • The Future of E-Commerce: Lessons from the Livestream Wars in China By: Ayelet Israeli, Jeremy Yang and Billy Chan
  • The Value of Descriptive Analytics: Evidence from Online Retailers By: Ron Berman and Ayelet Israeli
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