Electric vehicles (EVs) adoption in Malaysia was initially slow due to cheap gasoline and limited infrastructure. However, recent government efforts to promote sustainable transport have boosted EV sales, with 6,617 units sold in the first half of 2024. The government aims for net-zero emissions by 2050 and 1.5 million EVs on the road by 2040. Total Cost of Ownership (TCO) tools help fleet managers analyze vehicle expenses to choose cost-effective options, improve budgeting, track sustainability goals, and ensure compliance with environmental regulations. A locally customized tool is needed to account for unique factors like local prices, operational costs, government incentives, tax regulations, and customer financial behaviors. Machine learning is implemented using a predictive model to estimate the TCO based on those factors. The preliminary results of the developed model will fore-cast cumulative costs, potential carbon emission reductions and recommend car models when transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) for the Malaysian market, providing accurate and reliable decision-making support.