The food industry uses AI and machine learning to streamline and increase the efficiency of the food production and delivery process.
FREMONT, CA: Technology is not the first thing that comes into mind while talking about the food industry. But today, technology in the food industry has become an essential part of food production and delivery procedure. It has become easy to find food through applications, and data processing and robotics help the manufacturers to produce it. Technology can be used for enhancing packaging, food safety, and increase shelf life. The quality of food is also improving while the expense of production is decreasing. Nowadays. Machines, 3D printing, robotics, and drones have become the reality of the food industry.
Artificial intelligence and machine learning solutions can provide various opportunities for optimizing and automate the process, decrease human error, and save money for the industry. Therefore, AI and ML can prove advantageous for café, restaurants, bar businesses, and food manufacturing.
Using AI and Machine Learning applications in Food Industry
Supply chain optimization
Food manufacturers must appear more transparent about food in the supply chain if they are concerned with food safety regulations. AI can help the manufacturers to monitor every phase of the process. It can also be used for making price and inventory predictions and track the route of goods starting from where they are grown to the place where consumers will receive it, maintaining transparency.
Earlier the food manufacturers had to employ many people for performing the monotonous and daily actions connected to food selection. Today, instead of manually sorting the massive amount of food by size and shape, the manufacturers can utilize AI-based solutions. The technology will help them to easily recognize the plant necessary for a potato chip or the one that will be better for French fries. It will also become easy to sort out vegetables of the wrong color with the same technology, thus reducing the chances of getting discarded by the buyers.