“Artificial intelligence has already made its way into ordinary industrial life and is now a driving force behind the food and beverage industry's digital revolution. Large volumes of data are its raw material, which may be accessible through AI technologies like deep machine learning. Predictive data analysis, for example, can help maintain machinery and systems in a more demand-driven manner, reducing downtime.”

One of the most important trends in the food and beverage sector is individualization. Manufacturers must respond increasingly more quickly with their products to expanding societal variety, new lifestyles and needs, consumer habits, tastes, and preferences.

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Major Market Highlights

TOMRA Sorting Recycling has announced TOMRA Insight, a cloud-based data platform that opens up new possibilities for sorting equipment customers. Sorting can be transformed from an operational procedure to a management tool for making fact-based decisions at every stage of the value and production chain.
VERYX computerised sorters for fresh-cut leafy greens were introduced by Key Technology. VERYX is the world's only belt-fed sorter with top and bottom sensors that can inspect products totally in the air to detect and eliminate all foreign materials (FM) and product flaws. These integrated VERYX systems are specifically designed to meet the challenges of sorting leafy greens by combining Key's experience in sorting and conveying.
Conclusion

AI is also being used in the grocery industry to provide customers with personalized offers, manage inventory, and eliminate waste. Consumers can also access a variety of food-focused AI systems. Wellio, for instance, utilises machine learning and behavioural science to deliver personalised recipe recommendations before allowing clients to shop groceries online, while Habit creates individualised nutrition regimens based on the results of a nutrition test.

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