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Digital Ag Global, Season 2, episode 5, AI&ML in Food Forecasting
Season 2
Episode 5
Published 3 months, 4 weeks ago
Description
In this episode of Digital Ag Global, we explore how machine learning and AI are changing the landscape of food logistics — from forecasting demand to improving decision-making across the supply chain.
Our hosts are joined by Jan-Willem Snoeker, Founder & CEO of Merqato, a company applying AI and data science to the fruit and vegetable industry. The conversation looks at how food demand forecasting is evolving, why forecasting remains one of the biggest challenges in food logistics heading into 2026, and how AI-driven approaches can improve pricing, volume planning, and sustainability outcomes.
We discuss the role of AI demand forecasting, the limitations of traditional planning methods, and how modern food demand forecasting software helps businesses respond to volatile markets, shifting consumer behavior, and operational constraints. The episode also touches on the broader impact of data, machine learning, and forecasting accuracy on profitability and resilience in food supply chains.
This discussion is relevant for food producers, logistics providers, wholesalers, retailers, and AgTech professionals interested in the future of AI-powered food logistics and smarter, more sustainable supply chains.
Our hosts are joined by Jan-Willem Snoeker, Founder & CEO of Merqato, a company applying AI and data science to the fruit and vegetable industry. The conversation looks at how food demand forecasting is evolving, why forecasting remains one of the biggest challenges in food logistics heading into 2026, and how AI-driven approaches can improve pricing, volume planning, and sustainability outcomes.
We discuss the role of AI demand forecasting, the limitations of traditional planning methods, and how modern food demand forecasting software helps businesses respond to volatile markets, shifting consumer behavior, and operational constraints. The episode also touches on the broader impact of data, machine learning, and forecasting accuracy on profitability and resilience in food supply chains.
This discussion is relevant for food producers, logistics providers, wholesalers, retailers, and AgTech professionals interested in the future of AI-powered food logistics and smarter, more sustainable supply chains.