Details
| Translated title of the contribution | Sales prediction with search engine data |
|---|---|
| Original language | German |
| Pages (from-to) | 16-19 |
| Number of pages | 4 |
| Journal | ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb |
| Volume | 112 |
| Issue number | 1-2 |
| Publication status | Published - Feb 2017 |
Abstract
The forecast of sales volumes represents a challenge for the production planning. Above all, sales forecasts that are difficult to predict, such as those caused by promotions, are obstructive. Often, additional information from macroeconomic indexes is not topical, the level of detail of products to be forecast too low and the forecast expenditure too high. Aim of a research project therefore is to develop a model based on search engine data to forecast sales volumes at product level. By the use of complementary application of search engine data to the sales forecast is expected that the forecast mistake can be reduced compared with conventional forecast models upon product level. In general it should be clarified whether and in which extend the logistical efficiency of an enterprise can be improved by search engine data based forecast of sales volumes in the production planning.
ASJC Scopus subject areas
- Engineering(all)
- General Engineering
- Business, Management and Accounting(all)
- Strategy and Management
- Decision Sciences(all)
- Management Science and Operations Research
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In: ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb, Vol. 112, No. 1-2, 02.2017, p. 16-19.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Absatzprognose mit Suchmaschinendaten
AU - Fritzsch, Benjamin
AU - Ullmann, Georg
AU - Stonis, Malte
AU - Nyhuis, Peter
PY - 2017/2
Y1 - 2017/2
N2 - The forecast of sales volumes represents a challenge for the production planning. Above all, sales forecasts that are difficult to predict, such as those caused by promotions, are obstructive. Often, additional information from macroeconomic indexes is not topical, the level of detail of products to be forecast too low and the forecast expenditure too high. Aim of a research project therefore is to develop a model based on search engine data to forecast sales volumes at product level. By the use of complementary application of search engine data to the sales forecast is expected that the forecast mistake can be reduced compared with conventional forecast models upon product level. In general it should be clarified whether and in which extend the logistical efficiency of an enterprise can be improved by search engine data based forecast of sales volumes in the production planning.
AB - The forecast of sales volumes represents a challenge for the production planning. Above all, sales forecasts that are difficult to predict, such as those caused by promotions, are obstructive. Often, additional information from macroeconomic indexes is not topical, the level of detail of products to be forecast too low and the forecast expenditure too high. Aim of a research project therefore is to develop a model based on search engine data to forecast sales volumes at product level. By the use of complementary application of search engine data to the sales forecast is expected that the forecast mistake can be reduced compared with conventional forecast models upon product level. In general it should be clarified whether and in which extend the logistical efficiency of an enterprise can be improved by search engine data based forecast of sales volumes in the production planning.
UR - http://www.scopus.com/inward/record.url?scp=85018924838&partnerID=8YFLogxK
U2 - 10.3139/104.111657
DO - 10.3139/104.111657
M3 - Artikel
AN - SCOPUS:85018924838
VL - 112
SP - 16
EP - 19
JO - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
JF - ZWF Zeitschrift fuer Wirtschaftlichen Fabrikbetrieb
SN - 0947-0085
IS - 1-2
ER -