Predicting Future Outcomes with Smart Quality Control Software
As a quality program manager, you have to make sense of years of supplier, quality, and compliance data in order to understand the health of your business. But parsing through all this data can be time consuming and inefficient. Even if you manage to comb through your records and learn from past mistakes, using that information to predict future noncompliance issues will still feel like a shot in the dark.
But predicting the future is the stuff of sci-fi and fantasy movies, right? However, that may not always be the case thanks to artificial intelligence (AI) and machine learning. As a quality program manager, you can start using AI and machine learning to help you spot patterns in your data, including finding real-time red flags and collective warning signs of possible compliance issues. Machine learning software is purpose-built to search large amounts of data and records in seconds, highlighting patterns that can help you predict future outcomes.
How AI Works in Everyday Life
Chances are you order products on Amazon and watch shows on Netflix. These companies use AI to give you a better customer experience according to your tastes and behavior. The more you interact with these websites and use their services, the more they learn about you as an individual consumer. They use this information to guide their customers toward products and shows they might like based on their previous buying and viewing habits. Amazon customers can find new products to buy under the “You Might Also Like” section, while Netflix users will find new shows to binge under the “Because You Watched” section. But predictive output isn’t limited to shopping and entertainment; it also has the potential to make a big impact at several points in the supply chain.
How AI Works in Quality Management
Let’s apply these same examples to quality management in the foodservice industry. As a quality leader, your job is to improve the customer’s experience by making sure all your suppliers comply with your brand standards and federal regulations. You can use AI machine learning to gather and analyze data about your suppliers, the supply chain, and your quality assurance programs to make sure history doesn’t repeat itself. Think of your suppliers and the supply chain as customers on Amazon. AI-backed quality control software will look for patterns in your supplier and shipping records to predict future noncompliance issues. Regardless of what industry you’re in, you can then use this information to keep your suppliers and quality control programs accountable, so you can prevent subpar products from reaching the market.
If you’re trying to read the tea leaves yourself by manually combing over your data, there’s always a chance that you might miss something important. Unlike an AI computer program, your brain is simply not equipped to handle and make sense of all the variables at play. Switching to AI-backed quality control software gives you peace of mind, so you don’t have to worry about any noncompliance issues slipping through the cracks.
How AI Affects the Future of Quality Program Management
Netflix and Amazon aren’t the only companies using AI to their advantage. While just 15% of enterprises are currently using AI today, 31% plan to explore AI over the next 12 months, and that number will only go up. In today’s golden age of technology, it doesn’t come as a surprise that we’re moving towards an artificially intelligent world. Using AI can give companies a clear advantage over their competitors by helping them avoid costly errors with predictive intelligence.
Learn more about the benefits of AI quality control software and schedule a free demo from RizePoint today.