Would it not be great if you no longer have to think about what to prepare for lunch or dinner? And it is even better when someone does not have any leftovers, because sometimes they are not eaten the next day. In Europe, households are one of the biggest causes of food waste. This is mainly because people plan meals badly, buy more food than they need, and forget food in the fridge. At the same time, rising food prices mean that inefficiency is becoming more expensive. Additionally, eating a balanced and tasty diet is important for mental and physical health. It would feel even better if there were awareness that nothing is wasted. 

What if there were tools that could make meals using food that’s been forgotten in the back of the fridge and about to go out of date? The tool can also consider dietary habits, a balanced diet, preferences or even the mood when providing recipes. There would be no more food waste, and planning meals becomes easier, more efficient and sustainable. The tool keeps track of which products are available. If a product is running low, either the consumer is sent a message to refill it, or the system orders it directly and delivers it by courier. 

In the future, meal planning will be all about combining different approaches. AI tools will be used more and more with smart fridges, voice assistants, and online grocery services. Imagine a kitchen that knows what you have, plans meals for the week, and orders only what is missing – all while reducing waste and costs. The next level is to not prepare meals at all. Humanoids could also take over this role. 

What AI Brings to Household Meal Planning 

Planning meals can be complex, but there are some patterns to it. This is something that can be easily done with AI. By combining data input with machine learning, AI-powered tools can help households move from just cooking when they need to planning ahead.

Inventory-Based Planning 

AI meal-planning apps can track what is already available at home, either manually or through barcode scanning. Based on this information, they suggest recipes that prioritize ingredients that should be used soon. This directly reduces food spoilage. 

Personalized Recipe Recommendations 

Unlike traditional recipe books, AI adapts to household’s preferences, allergies, dietary goals and available time. Over time, the system learns what a household cooks and eats, so it can make more realistic recommendations. 

Smarter Shopping Lists 

AI can do more than just come up with recipes – it can also create shopping lists that are just right. These tools help to avoid buying too much and give you the exact amounts needed. Some apps even adjust portions based on household size and planned leftovers. 

Reducing Food Waste Through Behavioural Support

One often overlooked strength of AI tools is their ability to gently influence behaviour. Instead of telling users what they should do, AI provides timely nudges: 

• Reminders when ingredients are close to expiring 
• Suggestions to cook flexible “leftover-friendly” meals 
• Notifications discouraging unnecessary repeat purchases 

Over time, households develop better habits without feeling restricted. 

Challenges and Reflections 

Despite all these positive aspects of these tools, they must be questioned. When people use highly technical tools to plan and cook meals, they miss out on cultural, creative and personal activities. Also, for the system to work properly, it is necessary to share personal data with AI. Examples include what people eat, their health, how they shop and what they buy, as well as their routines and schedules. It is important to be careful about how much data is given to these tools, and the provider of the system must keep this information secure. This is often done in a “blind trust”. 

Planning meals and cooking is also a very creative activity. Depending on the degree of support spontaneity combined with experimental factors in a sometimes very structured everyday life is counselled to the background. Over time, households may become dependent on algorithmic suggestions, reducing confidence in improvisation and personal judgment. This issue will be even more relevant for following generations as they already grow up with technological dependence. 

The higher the technical support the higher the costs are. Although many simple tools for planning meals are free of charge. There are lots of free tools that help to plan meals. This is especially true when there is more automation, for example with a humanoid household assistant. It must be questioned what is more sustainable, higher efficiency and much technique or keeping creativity and equity. 

Conclusion

AI-supported meal planning has clear potential to reduce household food waste, but it is not without trade-offs. As technology enters a very personal space of daily life, particularly in the home kitchen, its drawbacks must be openly discussed. The challenge is not whether to use AI, but how to use it without compromising autonomy, creativity, and fairness. 

Sandra Fritsche

Text and illustration are created with the support of CoPilot