Food waste is a growing concern for governments worldwide. According to the UNEP Food Waste Index Report 2024, more than 1 billion tonnes of food are wasted every year, nearly one-fifth of all food produced. Alarmingly, households account for 60% of this waste, making it clear that consumer behavior is at the heart of the problem.
While public awareness around food waste is improving, traditional government campaigns often struggle to reach people at the right time, on the right channels, or with enough consistency to change habits. This is where Agentic AI offers a powerful alternative. For governments aiming to reduce food waste at scale, Agentic AI enables real-time, personalized, and action-oriented engagement — turning everyday conversations into meaningful interventions that drive lasting behavioral change.
1. Engage and Educate Citizens in Everyday Moments
Most people want to reduce waste but simply lack the guidance to act differently. Studies show that only 31% of consumers fully understand “best before” and “use by” labels (European Commission, 2020). Agentic AI chatbots can help close this gap by offering instant, accessible answers to everyday questions: how to store food properly, what to do with near-expiry products, or which ingredients can be repurposed. These conversations can happen directly on WhatsApp or Telegram, making the experience intuitive and frictionless. Delivered in real time, these nudges support smarter consumption, one meal at a time.
2. Move Beyond Awareness into Practical Action
Information alone doesn’t reduce waste. Citizens need tools that help them act. Agentic AI can direct users to the nearest food bank, compost site, or community fridge, and help households or businesses coordinate donations of surplus food. According to ReFED, one-third of food waste could be avoided if more people had easy access to redistribution options. This is where automation becomes powerful; a chatbot can not only explain what to do, but actually help make it happen. That shift from education to execution is what makes Agentic AI a valuable ally in public waste reduction strategies.
3. Turn Conversations into Insightful, Localized Data
Governments often rely on outdated surveys or generalized data to inform food policies. However, food waste is deeply local and behavior-driven. This is where Agentic AI comes in — by turning conversations into anonymized insights, it enables officials to better understand what foods are commonly wasted, which regions require more education, and how well current programs are performing. In fact, the Food and Agriculture Organization (FAO) notes that digital tools capturing behavioral data offer more actionable insights than traditional methods. As a result, these tools allow for smarter targeting, improved resource allocation, and more effective public program design.
A Smarter Public Tool for a Smarter Public Agenda
Food waste isn’t just a supply chain issue, it’s a community challenge. Governments play a key role in addressing this problem, and Agentic AI offers a scalable, low-cost tool to help. By enabling citizen education, supporting real-world action, and generating actionable data, Agentic AI empowers governments to tackle food waste more effectively and strategically.
Ready to take meaningful action on food waste? Mimin’s Agentic AI helps governments engage citizens where they are, speak in their language, and drive real impact, not just awareness. Let’s build smarter solutions together. Talk to us today.
ABOUT MIMIN
Mimin is a platform that helps businesses to create conversational customer journeys with Artificial Intelligence. With Mimin, businesses can effortlessly build chat journeys and establish a positive customer experience.
The applications that can be generated include, amongst others, the ease of running chat commerce, chat campaigns, customer automation, omnichannel inbox, and Generative-AI chatbot.
With Mimin, businesses can deliver superior customer experiences, strengthen customer relationships, and build stronger customer loyalty.
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Email: halo@mimin.io
