Akaryakıt İstasyonu Yakıt Satış Otomasyonu Veriler Üzerinden Bir Veri Madenciliği Çalışması

Abstract

This paper is devoted to the sales estimations of petroleum products that are are sold at fuel stations such as auto gas and diesel. Some techniques of data mining were used to predict the future sales of fuel oils types and the results were presented comparatively. It is also seen that the results obtained effect the strategy of tank management at fuel stations. For this purpose, the periodic sales estimations of the station are deducted from the data of the quantity of products entering a fuel station depot and the amount of fuel sold from the station. First, a web-based software was developed in C # and .NET languages and a related database was established. Instant sales data was recorded through 2 separate entries called as admin and user of the developed software. Then, data mining was performed on the warehouse and sales data drawn from an associated database. The results of this study are expected to support fuel stations on the tourism route in terms of warehouse management and sales estimates and help to establish a sales control scheme for the station.