Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques
Year of publication: |
2014
|
---|---|
Authors: | Maaß, Dennis ; Spruit, Marco René ; Waal, Peter de |
Subject: | Demand forecasting | Sales forecasting | Consumer products | Fashion products | Short life-cycle products | Data mining | Predictive modeling | Big data | Sales forecast | Combined forecasting | Judgmental forecasting | Data preparation | Domain knowledge | Contextual knowledge | Demand uncertainty | Retail | Retail testing | Demand volatility | Impulsive buying | Data Mining | Prognoseverfahren | Forecasting model | Nachfrage | Demand | Konsumentenverhalten | Consumer behaviour | Absatz | Sales | Einzelhandel | Retail trade | Marktforschung | Market research | Big Data | Prognose | Forecast | Mode | Fashion |
Extent: | graph. Darst. |
---|---|
Type of publication: | Article |
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Notes: | Systemvoraussetzung: Acrobat Reader |
Other identifiers: | hdl:10419/161811 [Handle] |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Maaß, Dennis, (2014)
-
Considerations of a retail forecasting practitioner
Seaman, Brian, (2018)
-
The influence of product involvement and emotion on short-term product demand forecasting
Belvedere, Valeria, (2017)
- More ...
-
Maaß, Dennis, (2014)
-
Exploring the impact of Web 2.0 on knowledge management
Bebensee, Thomas, (2012)
-
Web 2.0 in the CRM domain : defining social CRM
Faase, Robbert, (2011)
- More ...