Clustering as a tool for optimizing the sale of consumer goods
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F17%3A00314336" target="_blank" >RIV/68407700:21260/17:00314336 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Clustering as a tool for optimizing the sale of consumer goods
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Clustering as a tool for optimizing the sale of consumer goods
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50202 - Applied Economics, Econometrics
Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2017
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of IAC 2017 in Vienna
ISBN
978-80-88203-03-2
ISSN
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e-ISSN
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Počet stran výsledku
4
Strana od-do
135-138
Název nakladatele
Czech Institute of Academic Education z.s.
Místo vydání
Praha
Místo konání akce
Vídeň
Datum konání akce
18. 8. 2017
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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