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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