AI tools for measuring and managing food waste are gaining traction, but their adoption is inconsistent, with many businesses relying on a mix of technologies. A report from ReFED emphasizes the importance of understanding which AI solutions are effective and encourages investment in data infrastructure to enhance waste reduction efforts, particularly in commercial settings where AI has already shown significant potential for reducing food waste.
Investors focusing on foodtech should prioritize AI tools that enhance visibility into food waste, as these applications facilitate better decision-making and can significantly reduce waste, leading to financial, environmental, and social benefits. Emphasizing investment in data infrastructure is crucial, as high-quality data is necessary for AI tools to be effective, suggesting a potential need for businesses to update data collection practices and legacy software.