In the development of power electronics, stationary power converting devices like AC-DC converters and DC-AC inverters are used in various industrial areas. The performance of DC-AC inverter is enhanced using some controller techniques like PI, PR and PID, however it contains some limitations like high complexity and high switching loss. The application ranges of Sinusoidal Pulse Width Modulation (SPWM) are wide-ranging, and it is essential to reduce its switching losses (SWLs), also it includes higher switching frequencies, high frequency harmonics generation and high attenuation. Moreover, the hard switching mechanism used by the traditional inverter design suffers from a more significant power loss, and it seems difficult to operate under high frequency. Thus, this paper presented a new design named as an Artificial Neural Network (ANN) Controller with soft-switching (SS) technique to minimize the switching loss and enhance the converter efficiency. The zero voltage switching- pulse width modulation (ZVS-PWM) inverter is designed and the inverter gate pulse is tuned by ANN controller for reducing the switching losses and harmonics. The advantage of ANN is the ability to work without knowing the switching condition. For that, ANN controller is used here for reducing the switching loss in ZVS-PWM inverter. The MATLAB platform is used to implement the proposed work and the performances are analysed in terms of input current, voltage, THD, efficiency and so on. The proposed design results are compared with other existing works to exhibit the superiority of the proposed inverter design.