Intelligent Fashion Forecasting Systems: Models and Applications
Forecasting is a crucial function for companies in the fashion industry, but for many real-life forecasting applications, the data patterns are notorious for being highly volatile and it is very difficult, if not impossible, to analytically learn about the underlying patterns. As a result, many trad...
| Published in: | Springer eBooks |
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| Corporate Author: | |
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2014.
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| Subjects: | |
| Online Access: | http://dx.doi.org/10.1007/978-3-642-39869-8 Перейти в каталог НБ ТГУ |
Table of Contents:
- Part I: Introduction, review and exploratory studies
- 1.1 Introduction: Intelligent Fashion Forecasting
- 1.2 Sales forecasting in Apparel and Fashion Industry: a review
- Collaborative Planning Forecasting Replenishment Schemes in Apparel Supply Chain Systems: Cases and Research Opportunities
- Part II: Theoretical modeling research
- 2.1 Measuring Forecasting Accuracy: Problems and Recommendations (by the example of SKU-level judgmental adjustments)
- 2.2 Forecasting Demand for Fashion Goods: A Hierarchical Bayesian Approach
- Forecasting Fashion Store Reservations: Booking Horizon Forecasting with Dynamic Updating
- Part III: Intelligent fashion forecasting: applications and analysis
- 3.1 Fuzzy Forecast Combining for Apparel Demand Forecasting
- 3.2 Intelligent Fashion Colour Trend Forecasting Schemes: A Comparative Study
- 3.3 Neural Networks Based for Romanian Clothing Sector. .