Background. This study aims to analyze the impact of implementing automated quality control systems on the economic efficiency of companies in the food sector. The methodological framework combines a comprehensive analysis of production, technological and economic aspects of adopting automated solu-tions, including the elements of artificial intelligence, machine vision, sensor systems and integration with  digital platforms. Special attention is given to the experience of Azersun Holding (Azerbaijan) and Myronivsky Hliboproduct (Ukraine).
Results and Conclusions. At Azersun, the implementation of a corporate digital platform covered over 30 enterprises, including two food plants and retail chains, enabling centralized management and improved planning accuracy. The company’s revenue grew from 1,003 million to 1,810 million manats between 2019 and 2023. Myronivsky Hliboproduct implemented an AI-powered virtual technologist and an auto-mated cold storage facility for 20,300 pallets with digital management, reducing energy costs by 30 % and improving temperature control accuracy. The company’s revenue increased from 2,056 million to 3,046 million dollars between 2019 and 2024, despite crises such as the pandemic and military conflict. The findings confirm that the implementation of automated quality control systems transforms the quality assurance system from a selective and retrospective to a continuous and preventive one, enhancing man-agement efficiency, reducing defect rates and strengthening trust from international partners. The practical significance of this research lies in its applicability for food producers, process engineers and managers in selecting and deploying effective automated quality control solutions to enhance competitiveness and comply with international standards.