Monthly automobile sales prediction in Turkey

Year 2023, , 1444 - 1459, 30.06.2023

Bülent Sezen , Mert Tekin

https://doi.org/10.56554/jtom.1034259

Abstract

Meeting customer needs in a timely manner has a significant impact on customer satisfaction. For this reason, the planning process has successfully influenced the success of sales activities. The crucial point for the success of the planning process depends on the sales forecasts. Sales forecasting estimates the quantity required by the customer needs. It helps in determining sales targets as campaigns, pricing, brand and product communication, and distribution channels are incorporated in the sales forecast. In this paper, we use regression and artificial neural networks to predict automobile sales in Turkey. The performance of regression is compared with that of an artificial neural network, and it is shown which network is able to predict. Thus, the result of the study, automobile sales in Turkey, was predicted and compared with the actual sales for 2020. The result is that the best prediction method will determine the automobile sales in Turkey.

Keywords

Sales Prediction, Artificial Neural Network, Regression Analysis

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