New food waste management trends, including the implementation of artificial intelligence technology, are inevitably pushing restaurants on a much more sustainable path. AI waste management systems help to capture, track, and manage food waste using a weighing scale and an AI camera equipped with computer vision algorithms. Initially, the kitchen staff uses a monitor to indicate the food type that’s been thrown away, but over time, the system itself learns to identify different food types and takes over the majority of operations. Based on data collection, different types of analysis are carried out (per week, day, ingredient, environmental/financial impact, etc.), giving you insights into your food waste that are, ultimately, used to drastically cut them.
Gather accurate and actionable data
AI technology will provide you with intuitive data on all key metrics required to reduce food waste, with actionable insights for both the short-term and long-term.
Easy to implement
In a short amount of time, you can attach AI equipment to any of your food waste bins and educate your staff on using them.
Rapid ROI
Implementing AI technology might be costly at first, but the results are likely to show quickly. The minute you learn what food type is being thrown into the bin way more than others, you’ll know what needs to be improved.
Achieve greater efficiency
Data analysis will help you identify more efficient ways of food purchasing, storing, handling, meal planning, and preparation, thus cutting food waste in general.
Lower your carbon footprint
Reducing food waste means reducing greenhouse emissions, which is very important.
Improve your brand image
Reducing food waste and caring for the environment will boost your image, but you need to properly communicate your sustainability efforts.
There are many providers and users of AI technology for food waste management. The well-known tools are Kitro, LeanPath, Orbisk, and Winnow. With cost reduction and customer sustainability demands in mind, restaurants can benefit by becoming early adopters of food waste reduction technologies.
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