AI in food and beverage: 3 money-saving industrial benefits for 2020
Prateek Joshi, founder of Plutoshift, is a published author of nine books on artificial intelligence who has been featured in places including Forbes 30 Under 30, CNBC, TechCrunch and the Silicon Valley Business Journal.
To build this system, they need to use internet of things sensors that can collect data in a continuous manner. It should be a key component for companies looking to streamline their operations.
Collecting and storing data is critical, but it’s certainly not enough. Extracting insights from that data and leveraging them properly is still a significant challenge. In a recent industry survey of manufacturing professionals, it was revealed that only 12% automatically take action on their data insights.
Food and beverage companies are employing artificial intelligence applications that can process and analyze data about critical assets such as water, chemicals, and labor to optimize their operations at every level. As the food and beverage industry continues to use AI, the industry is improving product quality and producing more SKUs, which are driven by continued efforts to keep safety standards at specific levels. These standards include their equipment, resources, and company performance.
The food and beverage industry had estimated revenue in 2018 of $90.1 billion, but continues to be very complex and involve many moving parts. As competition becomes more intense between companies, small improvements are becoming necessary to stay ahead of competitors.
We’ve moved away from a few early adopters to an increasing number of food and beverage operations using or attempting to use these technologies in their day-to-day operations. These technologies provide the ability to collect a wealth of data at nearly every point of the food and beverage manufacturing process.
Here are three ways food and beverage companies can use AI in their daily operations to streamline production and improve their bottom line in 2020 and beyond.
Reducing unplanned downtime
Unplanned downtime can be detrimental to large and small food and beverage operations and costs companies $50 billion annually. The use of AI applications can analyze thousands of incoming data points from existing systems and alert operators to impending maintenance issues before they become problems. This can significantly extend the life of equipment by catching problems with critical assets before they impact production.
AI applications also have the potential to determine the root cause of equipment downtime or safety incidents. This ability leads to centralized data readouts that can prevent redundancies and improve team collaboration. To continue expanding production, the ability to have complete control and insight into the operations can be the difference between an average and extraordinary year.
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