More than just replacing of products: What a recall truly costs

There is no doubt that artificial intelligence is revolutionizing the world in many ways. One of its most prominent uses involves reducing or preventing manufacturing defects.

According to experts, quality costs can cost manufacturers as much as 20% of their entire annual sales revenue. This is because there are recalls, lawsuits and regulatory fines that manufacturers may face if their product or component turns out to be defective. So it's understandable why some companies dedicate half of their revenue (50%) just for avoiding these defects! AI can help manufacturers minimize losses associated with defects and food safety incidents, like product recalls, and it has the potential to save them millions of dollars each year.

AI-driven machines can learn from data which allows the systems to make adjustments based on past behaviors of “normal” situations to notice abnormalities. Abnormal readings will only be triggered if the machine or process has been compromised and a work-order is sent to check the equipment. By implementing AutoML into a manufacturing facility, they can help stop a defective product from being shipped or, better yet, prevent from creating a defective product all together from the start. With SORBA, we make connecting an asset to our software extremely easy with no code or data scientist needed. We have worked with manufacturing facilities of all kinds to facilitate optimal product output, which is why we've made it easier for manufacturers to implement our patented 4-click AI model. With SORBA AutoML, these smart machines are capable of learning on their own and making adjustments when something is out of place allowing the OT and IT departments to focus on more important tasks.

Advantages of AI in Manufacturing

Product recalls, border rejections and fraud incidents, unfortunately occur every day around the world. They are a very common, yet challenging case that food safety experts have to deal with.

AI brings many advantages to manufacturing facilities including higher productivity, lower costs and better decision making. The implementation of AI ensures that safety and quality standards are upheld throughout the supply chain at each step. AI is not just limited to industries such as manufacturing but also used for locomotives and rail switches, waste water management, or even diagnosing diseases in life sciences.

Conclusion

Manufacturing companies have a lot to lose if they can’t control the quality and safety of their products. They risk not only losing millions in revenue, but also risking their brand reputation when word gets out that one of their products is faulty or dangerous. That’s why it's so important for these firms to be able to identify mistakes ahead of time before they release anything onto the market. This is where AI steps in by using machine learning algorithms like AutoML to predict potential defects with higher accuracy than humans ever could on their own, which will save you money as well as your company’s credibility! Interested? Schedule a demo today with our team at SORBA — we'll show you how simple it is to implement SORBA technology into your facility!

‍

SORBA works in partnership with clients across all industries to reduce energy, prevent unplanned downtime, and increase productivity through the democratization of Auto-AI software solutions.

‍