Naslov
Applying car retail data - Impact on the business flow prediction

Autori
Radoš, Ivan ; Miljenko, Hajnić ; Ivona, Radoš

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022 - Proceedings / Skala, Karolj - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2022, 1324-1329

ISBN
978-953-322-412-1

Skup
45th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2022)

Mjesto i datum
Opatija, Hrvatska, 23.05.2022. - 27.05.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
car sale ; data-mining ; sale forecast

Sažetak
Predicting car sales trends is an important part of designing sale plans, so the identification of user types (potential buyers) plays a big role in it. Data mining was utilized in this research to gather data from multiple sources for future predictions and achieve better service quality and consumer satisfaction. Gathered users (buyers) data from multiple sources were joined according to the defined logic and common key to get the total number of buyers that purchased cars, online by software platform developed for selling cars and offline in physical stores. This research was conducted on a real company Neostar which is a part of the biggest conglomerate in Croatia and brings answers on the impact of web advertising compared to the classic TV advertising campaigns. It also provides interesting results on the impact of geo-location where the car is physically located and the number of completed car purchases

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Ekonomija

POVEZANOST RADA