The study objective was to test the impact of decision support systems, and artificial intelligence on supply chain performance with the moderating effect of top management support systems of dairy products manufacturers. Quantitative data was collected from 300 dairy product manufacturing company employees. Cross-sectional research was employed to collect the data through a self-administered questionnaire employing a convenient sampling technique. The Structural Equation modeling results show that decision supports system dimensions (Key performance indicators and Critical success factors) significantly increasing the supply chain performance. Similarly, artificial intelligence also significantly increases the supply chain performance. Further moderating effect results show that top management support significantly strengthen the relationship of decision support systems dimensions, artificial intelligence, and supply chain performance. The results contributed that integrating decision support systems dimensions (Key performance indicators and Critical success factors) and artificial intelligence can significantly enhance supply chain performance, with top management support playing a crucial role in increasing these effects. This highlights the importance of strategic leadership and advanced technologies in achieving competitive advantages in supply chain management. The research distinctively examines the combined impact of decision support systems and artificial intelligence on supply chain performance. Furthermore, the study also tested the moderating effect of the top management support system which is considered to be a big contribution to the research novelty. This novel approach offers fresh insights into the strategic integration of decision support systems, artificial intelligence, and top management support for optimizing supply chain performance.