Clustering as a Tool for Optimizung the Sale of Consumer Goods
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00315391" target="_blank" >RIV/68407700:21260/17:00315391 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Clustering as a Tool for Optimizung the Sale of Consumer Goods
Original language description
Nowadays, most sales of consumer goods are realized by e-shops. For these shops, of course, it is impossible – in terms finance and/or space - to have large quantities of these goods in stock. It is therefore necessary to reduce the offered goods in a suitable and sophisticated way. In this work, based on the knowledge of historical data and using the Cluster Analysis, the sales offer of these goods is optimized. Here the supply of goods is reduced depending on the price and the sale time using the real data. With this reduction, only a certain type and quantity of goods can be stocked within a certain time period to be offered at that time period. The entire supply of goods is selected by individual clusters that determine what goods, at what prices and in what time period are at a certain moment beneficial to sell. This therefore reduces the total sales offer and hence the need to own or fund unnecessarily large warehouses. The cluster analysis is applied to the real data of laptop sales in a medium-sized e-shop in the Czech Republic for the period 2016.
Czech name
—
Czech description
—
Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
—
OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Research in Engineering and Technology
ISSN
2319-1163
e-ISSN
2319-1163
Volume of the periodical
06
Issue of the periodical within the volume
04
Country of publishing house
IN - INDIA
Number of pages
2
Pages from-to
14-15
UT code for WoS article
—
EID of the result in the Scopus database
—