Application of predictive analytics to sales forecasting in fashion business
- 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.
| Author of HS Reutlingen | Erhard, Julia; Bug, Peter |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-13548 |
| Publisher: | Hochschule Reutlingen |
| Place of publication: | Reutlingen |
| Document Type: | Book |
| Language: | English |
| Publication year: | 2016 |
| Tag: | analytics; fashion; forecasting; predictive; sales |
| Page Number: | 27 |
| First Page: | 1 |
| Last Page: | 27 |
| DDC classes: | 330 Wirtschaft |
| 380 Handel, Kommunikation, Verkehr | |
| Open access?: | Ja |
| Licence (German): |  Creative Commons - Namensnennung, nicht kommerziell, keine Bearbeitung |
