Web based business intelligence application supported by machine learning techniques in automotive industry

In Turkey, which is one of the stakeholders of the developing world economy, the sensitivity of the automotive sector to the regulations is high, and therefore, the buyers and sellers in the sector can provide risk management against the losses that may occur as a result of developments, by evaluating the automotive sector second-hand market data with machine learning algorithms. It is aimed to minimize the risks that may occur by providing a high level of estimation of current car prices, transferring detailed information about the automotive market with graphics and tables, and leaving the choice of machine learning algorithms to the user's choice as a result of checking the test results. In this context, the vehicle brands most requested by the users in Turkey were determined, and the data collection process of the vehicle brands selected based on the data obtained as a result of the determination was initiated. Various models of each vehicle brand and package information covering the different contents of these models are also included in the data set. In order to get the optimum efficiency from the algorithms in the estimation process, the correlation values of the variables in the data set were checked and the environment was created in order to get the best estimates of the vehicle prices. In the data set, there are market prices freely created by the source website user who wants to sell their vehicles between certain dates. With the forecasts created in the light of the data collected in a certain balance, the user panel, where both the forecast values are transferred and the general data of the market covering these vehicle brands, for managers who play a role in the market, employees in senior positions, users who want to sell vehicles, and users who want to buy vehicles. Graphs, tables, reports and market details that could be in an effective position in the purchasing process were conveyed to users via the web panel. As a result of the web application, when the user logs in to the application, it is provided with a simple and understandable interface without causing distraction for its purpose, and opportunities are provided to easily reach the target.