AI & ML Impacts On The Food And Beverage Industry

AI and machine learning significantly influence the food and beverage industry, especially manufacturing, as they can reduce waste and improve safety standards.

FREMONT, CA: Generally, companies think of customer service and takeaway gig-economy services when they think of the food business. However, modern technology, particularly artificial intelligence, and machine learning, is one of the last things to mind while discussing the food sector. Yet, these technologies significantly impact the food and beverage business.

Revolutionizing the Manufacturing Process

Machine learning and AI influence every process step in the food or beverage industries. For example, hygiene is a vast and crucial aspect of the food business process, particularly in preventing cross-contamination and maintaining high standards throughout a pandemic.

Previously, these duties were laborious, time and resource-intensive, and extremely expensive if a mistake or oversight was made. In addition, it is necessary to dismantle and then reconstruct the complex machines to be completely cleaned and pump a high quantity of substances in the manufacturing facilities.

Machines can use strong ultrasonic sensors and fluorescence optical imaging to monitor food remains on machinery and microbial debris using a SOCIP or Self-Cleaning-in-Place technology. It implies machines only have to be cleaned when required and only in the parts that require cleaning.

Less Waste and More Transparency

The waste element of the food and beverage sector is a broadly debated and criticized topic. AI can be employed to follow each stage of the manufacturing and supply chain process worldwide, comprising tracking prices, maintaining inventory stock levels, and even monitoring countries of origin.

Like Symphony Retail AI, existing solutions employ this data to track transport costs correctly, the pricing referred, and inventory levels to forecast how much food is required and where waste is generated.

Improving Food Safety Standards

Food safety standards are always critical to follow no matter where the restaurant is globally and tighter restrictions.

Food can be handled and processed by AI and machine learning robots, virtually removing the possibility of contamination through contact. In addition, as robots and machinery can not spread diseases the same way humans do, the chance of becoming a problem decreases.

Robotic solutions are being used in place of humans in food testing facilities for more reliable results.