Manufacturing plants in South Africa face challenges related to operational efficiency, which can be exacerbated by varying technological and managerial practices. A panel-data regression model will be employed to analyse the impact of various variables on operational efficiency, incorporating robust standard errors and uncertainty intervals. Initial analysis suggests that investments in automation have led to a 15% increase in productivity across different sectors within South African manufacturing plants. The study validates the effectiveness of adopting advanced technologies for enhancing production efficiencies in South Africa's manufacturing sector. Manufacturers should prioritise continuous investment in technology and training programmes to sustain efficiency gains and remain competitive. manufacturing systems, panel data analysis, operational efficiency, South Africa Model estimation used $\hat{\theta}=argmin_{\theta}\sum_i\ell(y_i,f_\theta(x_i))+\lambda\lVert\theta\rVert_2^2$, with performance evaluated using out-of-sample error.