Please use this identifier to cite or link to this item: https://repository.iimb.ac.in/handle/2074/20791
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dc.contributor.advisorKumar, U Dinesh
dc.contributor.authorSafna, M I Fathima
dc.contributor.authorDilkush, Vardha
dc.date.accessioned2021-11-15T12:03:53Z-
dc.date.available2021-11-15T12:03:53Z-
dc.date.issued2016
dc.identifier.urihttps://repository.iimb.ac.in/handle/2074/20791-
dc.description.abstractPayless is a volume driven business. The model has evolved and has become more promotionally driven, thus accentuating the volume aspect and putting pressures on the supply chain and demand forecasting. Promotions and their impact vary vastly and with the fixed storage capacity of the stores, it is becoming increasingly difficult to ensure timely availability of optimum stock levels and mixes. Hence forecasting becomes very important. The aim of this project is to understand the sales pattern over the years and make a forecasting model to predict the sales for the year 2016, with inputs as the sales information for 2014 and 2015, the promotion calendar for these years and the key events.
dc.publisherIndian Institute of Management Bangalore
dc.relation.ispartofseriesPGP_CCS_P16_227
dc.subjectStock predictor
dc.subjectSales patern
dc.subjectPayless
dc.subjectPromotion
dc.subjectT-Test
dc.subjectDecision making
dc.subjectDecision science
dc.titlePromotion based stock predictor
dc.typeCCS Project Report-PGP
dc.pages17p.
Appears in Collections:2016
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