AI's New Frontier: Tackling Food Waste

Image Credit: John Cameron | Unsplash

Did you know a significant portion of food in supermarkets and restaurants ends up in the trash, contributing to planet-warming greenhouse gases? However, the fight against food waste is taking an innovative turn, thanks to artificial intelligence. Companies like Winnow and Afresh are stepping up, using AI to identify and reduce waste in the food industry. Winnow's AI tool spies on restaurant garbage to provide insights like oversized breakfast croissants contributing to waste, while Afresh analyzes supermarket sales data to optimize stock levels, reducing unnecessary waste.

The Impact of Food Waste

Globally, 1 billion metric tons of food were wasted in 2022. Food waste accounts for 8% to 10% of global greenhouse gas emissions. It's a challenge that gets "swept away" but has a substantial environmental footprint.

Innovative Solutions

These AI-driven initiatives are making strides. For instance, supermarket chains participating in the Pacific Coast Food Waste Commitment project saw a 25% reduction in unsold food volumes between 2019 and 2022. From applying edible coatings to produce for extended shelf life to connecting customers with discounted foods, the possibilities are expanding.

Precision in Prevention

Afresh's AI tool can predict sales trends, advising on specific quantities and types of fresh foods to stock. This precision helps in reducing waste significantly. For example, it can suggest stocking 105 cases of eggs instead of 110 the week before Easter, making every case count.

AI Surveillance

Winnow’s technology, which installs cameras above garbage bins in kitchens, offers real-time insights into waste patterns, helping establishments like Hilton Hotels to adjust portion sizes and reduce waste.

As we stand at the intersection of technology and sustainability, these AI-driven efforts show a promising path toward reducing our environmental impact and making the food industry more sustainable. But it's not just up to technology; it's about changing our perspectives and habits around food consumption and waste.

Source: https://www.japantimes.co.jp/business/2024/04/06/tech/ai-food-waste-reduce/