According to statistics, almost one third of all food produced in the world every year goes uneaten due to a lack of resources and infrastructure. AI can improve this growing problem of food waste by automating processes that have been traditionally manual, such as sorting out leftover food at restaurants or managing inventory across multiple locations.
It's also ideal for automated forecasting to predict how much product will be available based on demand patterns that take into account factors like seasonality and weather patterns so businesses don't run out of stock due to bad timing.
In the fight against food waste, especially in restaurants and other large food production chains where there is a high volume of products coming out of every single kitchen, it's easy for workers to ignore small amounts of unsold food and even when they're aware that something isn't selling well, they may not know what exactly needs to be done about it.
A simple model could automatically detect when products aren't meeting demand, and then alert managers so that things can be fixed before too many products get thrown away.
Reduce food waste in the supply chain
AI can help us monitor food waste in the supply chain. It can also help identify the causes of food waste, predict it, and provide solutions for reducing it. For example, an AI system could be used to detect when products are nearing their expiration date and then alert suppliers about these issues so that they can be addressed before they become more widespread. If you're a retailer or distributor who wants to reduce your losses from spoilage due to improper storage temperatures or other factors, an automated system could alert you when certain items start showing signs of distress so that you can take action quickly.
Predict food shortages for farmers
Models used to predict food shortages can also help farmers plan for future shortages. The model learns from past data and then uses that information to predict how much food will be available in the future. Farmers can use this to decide which crops they want to grow and when they should harvest them.
Reduce food waste in restaurants
AI can help predict customer demand, which means restaurants will be able to plan for food that's likely to sell out. It also helps chefs understand how people like their food and what they want next time they visit the restaurant. This allows them to create menus that are more customized for each individual customer, reducing overall waste by avoiding unnecessary ingredients or serving leftovers at peak times of day when there isn't much demand.
Restaurants will be able to predict preferences based on previous orders, if someone has ordered fish twice before but only once this time around, this information would allow them to reduce their use of fish again without sacrificing quality standards.
AI has the potential to solve a lot of problems in our world, and food waste is one that we should be working on. AI can help us make better decisions about what to eat and when, as well as how much of it needs to be eaten.
Bibliography:
https://www.relexsolutions.com/resources/how-ai-can-fight-the-food-waste-battle/
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