In the competitive car market, demand forecasting plays an important role. Accurate forecasting will provide many benefits to a company's supply chain process. Forecasting with past data alone is not sufficient to forecast demand. In other words, it takes variables that also influence demand forecasting. Through the journal review process and the Delphi method, seven variables are produced that affect the demand for medium-prices Toyota cars in Indonesia. These variables are six variables that have been used before and one variable, namely COVID-19, disrupts car demand in Indonesia. This study uses Multiple Linear Regression with 2018 - 2020 data, and with this model, 2021 and 2022 demand forecasts are generated. Forecasting with this model is compared with 2021 factual data, it is found that this forecasting model is of good quality.
Car Demand Forecasting of Toyota in Indonesia: A Case Study Medium Price Category
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