To further optimize quality control processes in manufacturing, the utilization of real-time data has proven to be instrumental. Real-time data refers to the continuous collection and analysis of information during production, enabling immediate insights into the quality of products. By leveraging sensors and IoT devices embedded within machines and production lines, manufacturers can capture data points such as temperature, pressure, and machine performance in real-time. This data is then transmitted and analyzed through AI-driven systems, providing valuable feedback on the quality of the manufacturing process. By receiving instant alerts and notifications on any deviations or anomalies, manufacturers can swiftly address issues and take corrective actions, minimizing the risk of defective products. The availability of real-time data for efficient QC empowers manufacturers to make informed decisions promptly, ensuring that products meet the desired quality standards, while also optimizing production efficiency and reducing costs.