This research aims to develop a calculation model for the fuel consumption ratio in tank trucks during the fuel distribution process at one of the fuel terminals of an oil company in Indonesia. The development of this model is prompted by the obsolescence of the old ratio, which is no longer relevant to current operational needs. Fuel consumption ratio is a critical component of operational costs, making it essential to establish a more accurate and reliable model.The study adopts a full-to-full approach, measuring fuel consumption before and after distribution trips, while integrating data from the company’s Online Distribution Information System (ODIS). Key variables considered in the model include tank truck type, fuel product type, route characteristics, and road gradient. Polynomial regression is employed to analyze the relationship between fuel consumption and influencing factors, ensuring a comprehensive and robust model. The analysis also incorporates the impact of road gradient on fuel consumption to enhance the model’s adaptability. The findings demonstrate that the new model provides improved and reliable estimates of fuel consumption, enabling more accurate operational budget planning and reducing discrepancies in consumption data. This research contributes significantly to the development of an adaptive and dynamic fuel consumption model that enhances efficiency and supports sustainable fuel distribution operations.