How Better Data Can Cut Food Waste Across the Supply Chain

Send me a messageIn this episode of the Sustainable Supply Chain podcast, I’m joined by Gary Loh, CEO of DiMuto, who brings a refreshing perspective on fixing the fractured agri-food trade. Gary’s insights shine a light on the 30% of food wasted globally and how digital tools like AI, IoT, and blockchain can help us reduce that figure.We discuss why traditional silos, where growers, packers, shippers, and retailers rarely share data, need to be broken down. Gary explains how DiMuto’s approach aligns economic incentives for everyone in the supply chain, driving transparency and reducing food waste. He also delves into how real-time data is empowering smallholder farmers, opening up access to trade financing and reducing costly claims.We also touch on the impact of US tariffs, shifting climate conditions, and FSMA 204 compliance, and why digital transformation is no longer optional. Gary’s journey from finance to agriculture shows that real change comes when you address the incentives and give farmers and buyers the tools to see the full picture.If you’re serious about building a transparent, resilient supply chain, or just curious how aligning incentives, AI and data can cut waste in our global food system, this episode is worth a listen.Support the showPodcast supportersI'd like to sincerely thank this podcast's generous Subscribers:Alicia FaragKieran OgnevGary LynchAnd remember you too can become a Resilient Supply Chain+ subscriber  - it is really easy and hugely important as it will enable me to continue to create more excellent episodes like this one and give you access to bonus episodes of topical, timely supply chain resilience analysis.🎤 Looking for a keynote speaker on supply chain resilience, AI, and sustainability?I help leaders understand the forces reshaping global supply chains, from geopolitical disruption and climate risk to AI and real-time decision-making. Download my Speaker Pack: https://tinyurl.com/spkrpckFinallyIf you have any comments/suggestions or questions for the podcast - feel free to just send me a direct message on LinkedIn, or send me a message using this link.If you liked this show, please don't forget to rate and/or review it. It makes a big difference to help new people discover it. Thanks for listening.