TY  - BOOK
U1  - Buch
A1  - Erhard, Julia
A1  - Bug, Peter
T1  - Application of predictive analytics  to sales forecasting in fashion business
N2  - Like many others, fashion companies have to deal with a global and very competitive environment. Thus companies rely on accurate sales forecasts - as key success factor of an efficient supply chain management. However, forecasters have to take into account some specificities of the fashion industry. To respond to these constraints, a variety of different forecasting methods exists, including new, computer-based predictive analytics. After the evaluation of different methods, their application to the fashion industry is investigated through semi structured expert interviews. Despite several benefits predictive analytics is not yet frequently used in practice. This research does not only reflect an industry profile, but also gives important insights about the future potential and obstacles of predictive analytics.
KW  - sales
KW  - forecasting
KW  - fashion
KW  - predictive
KW  - analytics
Y1  - 2016
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-13548
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-13548
SP  - 1
EP  - 27
S1  - 27
PB  - Reutlingen University
CY  - Reutlingen
ER  -