Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/20658
Title: Rossmann store sales prediction
Authors: Kishore, Kaushal 
Mane, Srinivas 
Keywords: Sales management;Pharmaceutical Industry;Sales strategy;Marketing;Rossmann
Issue Date: 2016
Publisher: Indian Institute of Management Bangalore
Series/Report no.: PGP_CCS_P16_093
Abstract: Forecast sales using store, promotion, and competitor data. Rossmann operates a chain of about 3,000 drug stores in seven countries in the Europe. Rossmann is faced with the task of predicting their daily store sales for up to 6 weeks in advance. Thousands of Rossmann’ s managers predict their store sales depending on the unique circumstances they face. In such scenario, the accuracy of prediction can be highly variable.
URI: https://repository.iimb.ac.in/handle/2074/20658
Appears in Collections:2016

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