How machine learning can help retailers

Assignment Help Supply Chain Management

Reference no: EM133569846 , Length: 6 pages

Question: In this live session, we will work on retail analytics and discuss forecasting, assortment planning, and markdown optimization. Before the live session, please make sure you have read the assigned readings, completed all practice activities, and reviewed the module assessment. Agenda.

Introduction to assortment planning.

Newsvendor problem and applications in Retail . Markdown optimization . Product life cycle

How machine learning can help retailers

What Is the Right Supply Chain for Your Product? Harvard Business Review, 75(2), 105-116. . Fisher, M. L., Raman, A., & McClelland, A. S. (2000). Rocket Science Retailing Is Almost Here: Are You Ready? Harvard Business Review, 78(4), 115-124. . Fisher, M., & Vaidyanathan, R. (2012). Which Products Should You Stock? Harvard Business Review, 90(11), 108-118. . Fisher, M. L., Hammond, J. H., Obermeyer, W. R., & Raman, A. (1994). Making Supply Meet Demand in an Uncertain World. Harvard Business Review, 72(3), 83-93.

Attachment:- Assortment Planning.zip

Reference no: EM133569846

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