Rossmann store sales prediction

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Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/20658

DC Field	Value	Language
dc.contributor.advisor	Kumar, U Dinesh
dc.contributor.author	Kishore, Kaushal
dc.contributor.author	Mane, Srinivas
dc.date.accessioned	2021-11-15T11:00:30Z	-
dc.date.available	2021-11-15T11:00:30Z	-
dc.date.issued	2016
dc.identifier.uri	https://repository.iimb.ac.in/handle/2074/20658	-
dc.description.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.
dc.publisher	Indian Institute of Management Bangalore
dc.relation.ispartofseries	PGP_CCS_P16_093
dc.subject	Sales management
dc.subject	Pharmaceutical Industry
dc.subject	Sales strategy
dc.subject	Marketing
dc.subject	Rossmann
dc.title	Rossmann store sales prediction
dc.type	CCS Project Report-PGP
dc.pages	13p.
Appears in Collections:	2016

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