78% of manufacturers see AI as a key part of their digital future. To succeed, AI must deliver real value and a strong return on investment, just like any other technology.
Quality control is absolutely vital in manufacturing. Whether you’re making a luxury item or something more budget-friendly, consistent quality is key to success. That’s why manufacturing quality systems like AI are revolutionizing the industry.

These powerful tools can analyze massive amounts of data to spot defects with incredible accuracy. AI in food manufacturing systems can identify flaws that even the most experienced human eye might miss! Though, it’s not at the level (yet) to fully replace us.
It’s no surprise that AI is gaining traction in manufacturing. A recent survey from Deloitte found that 55% of surveyed industrial product manufacturers are already using generative AI tools, and over 40% of manufacturing firms are planning to implement AI for quality control by 2025. This shows real confidence in AI’s ability to take quality assurance to the next level.
Even seeing labor shortages being solved, manufacturers are increasingly integrating AI into their quality control processes to improve accuracy, meet regulations, and modernize better. Here’s a look at how they’re approaching this transformation.
How are manufacturers welcoming AI this year?
They’re going hybrid.
Food manufacturers often start their AI journey with hybrid approaches, combining human expertise with AI-driven insights. This allows them to gradually incorporate AI without major disruptions. For example, AI is initially used to support human inspectors by flagging potential defects to help build trust in the technology. This step-by-step approach, often beginning with a Proof of Concept (PoC), lowers risk and demonstrates AI’s value in improving quality control and regulatory compliance. According to Praxie’s report on AI governance, manufacturers using AI for regulatory compliance have seen a 30% decrease in non-compliance incidents.
Visual inspection systems are the move.
One of the biggest applications of AI in manufacturing is visual inspection. AI-powered systems can process thousands of images per second, finding even the tiniest defects with remarkable accuracy. A report by Tech Bullion shows that AI-driven inspection systems have increased detection accuracy by 27%, which ultimately improves product quality.
Predictive analytics is used in quality control automation.
AI analyzes historical and real-time data to predict potential quality issues before they occur, which enables food manufacturers to take predictive maintenance measures and lower waste and rework costs. AI has transformed operations management by eliminating production bottlenecks by 31.2%. It’s a must-have tool for the methodical food manufacturer.
They’re monitoring systems in real-time and continuously improving.
AI’s real-time monitoring capabilities allow for continuous improvement in quality control and energy management in manufacturing. AI systems provide instant feedback and adjustments during production to help products consistently meet strict quality standards. This smart approach has lowered production cycle times by 23.8%.
Use Case Example
University of Virginia’s AI-Driven Optimization
Researchers at the University of Virginia have developed an AI-driven system using Multi-Agent Reinforcement Learning (MARL) to optimize manufacturing processes. This technology, in collaboration with General Motors, aims to improve both speed and quality while reducing waste. The system can dynamically adapt to changes, such as machine breakdowns or production adjustments, without human intervention, making it a major leap forward in smart manufacturing systems.
Learn How Industry 4.0 Helps Your Team Merge With AI
At GENEDGE, we know how tough it is for food and beverage manufacturers to keep costs down and boost efficiency. That’s why your manufacturing continuous improvement consultant will combine the power of AI with Lean principles and Industry 4.0 to help your team find the best ways to improve your operations. We’ve already helped other manufacturers achieve amazing things, like a 30% jump in productivity, a 60% faster production cycle, and a 30% cut in energy bills. Let’s see how we can help you achieve similar success.
Join us for our FREE Lean and Industry 4.0 Webinar on February 12 from 11:00 AM to 12:00 PM!
We’ll show you how AI compliance tools can transform your operations and meet every challenge you head-on. This event is a chance to gain valuable insights, connect with other manufacturers, and start your journey towards smarter, more efficient production.