Diesel fuel is a significant source of energy in surface mining operations. Haul trucks are the primary users of this energy resource. Based on the analysis of the data collected from mine sites, Gross Vehicle Weight (GVW), Truck Speed (S), and Total Resistance (TR) were identified to be the most influential parameters affecting fuel consumption. However, the relationship between the three parameters mentioned above and the truck fuel consumption is complicated. Thus, developing a new approach using artificial intelligence was essential to create a reliable model for solving this problem. AI can be a good solution for this type of complex project because the number of effective parameters can be increased in the modelling phase and the application can retrain itself with the actual fresh data during the operation.