Improve food development with AI

Index

As we talked about how AI can be used to revolutionize cosmetic company in https://intellico.ai/blog/is-ai-a-game-changer-for-cosmetics-companies/, the food industry is no exception. By maximizing the amount of data that a company has, AI enables companies to make informed decisions, enhance operational efficiency, and innovate like never before. In recipe development, AI can analyze ingredient combinations, resulting in the creation of unique and appealing dishes. This technological advancement not only saves time and resources but also ensures that the recipes meet the ever-evolving tastes and dietary needs of consumers.

AI use cases along the food value chain

The application of AI in the food industry spans the entire value chain, from ingredient sourcing to final product delivery. Here’s how AI adds value at each stage:

  1. Ingredient Sourcing: AI can predict emerging trends in consumer preferences and ingredient demand, allowing businesses to adapt their sourcing strategies proactively.
  2. R&D: AI-driven tools can analyze existing recipes to suggest new ingredient combinations. This accelerates the development process with the new recipe that they want to create.
  3. Production: AI algorithms also facilitate the efficient use of resources and machineries, by analyzing real-time data and optimizing the production scheduling, resulting in precise and high-yield production.
  4. Marketing and Sales: AI analyzes customer data to tailor marketing strategies, predict sales trends, and personalize customer interactions. By understanding consumer behavior, companies can launch targeted campaigns that resonate with their audience.
  5. Supply Chain Management: AI enhances supply chain visibility, forecasting demand and optimizing logistics. This ensures timely delivery of products, maintaining freshness and reducing costs associated with delays.
  6. Customer Feedback and Improvement: AI tools analyze customer reviews and feedback, identifying areas for improvement in existing recipes and products. This continuous loop of feedback and innovation helps companies stay ahead in a competitive market.

Matilde: Explainable AI for food development

Our platform Matilde is a solution aimed to get insights out of the relevant data and knowledge built all over time on the new recipe creation.
MATILDE has been configured to enhance recipe development by predicting the final product properties and identifying the optimal combination of ingredients along with the associated process parameters.


MATILDE offers 3 main functionalities to the R&D Team:

  1. Simulator: test new ingredient combinations to evaluate their impact on recipe properties. Additionally, users can input specific parameters to identify the necessary combination of ingredients to achieve desired outcomes. Constraints can also be applied to exclude certain ingredients, ensuring that any restrictions in new markets are considered during the simulation by the R&D team;
  2. Explainer: understand the ingredients’ impact on the recipe properties. For instance, users can explore solutions to questions like, “How can I adjust a product’s saltiness without increasing its sodium content?” or “How can I enhance a product’s spiciness without using pepper?”;
  3. Explorer: Access the complete history of recipes and their parameters through an interactive graph, enabling users to easily identify similar past recipes, analyze their outcomes, and understand how different ingredients influenced those results.

Matilde, like other AI tools, is a powerful resource, but it’s not a magic solution. To unlock its full potential, it requires a robust dataset from previous experiments. The more comprehensive and high-quality the data, the more effectively Matilde can perform, providing insights that are both reliable and actionable.


At Intellico, we bring extensive expertise and a deep understanding of the data landscape to help you pinpoint the exact types of information needed to maximize Matilde’s effectiveness. We work closely with you to identify, collect, and structure this data, ensuring it is well-suited to drive meaningful outcomes.


Additionally, Matilde has the unique capability to build upon existing knowledge quickly, learning and adapting in real-time to improve the accuracy of its predictions. This not only accelerates the process of developing new formulations but also significantly enhances the overall efficiency of your innovation pipeline, allowing you to stay ahead in a competitive market.

Main benefits of MATILDE for food development

The application of MATILDE in the food industry spans the entire R&D pipeline, from ingredient sourcing to final product development:

  • Time to Market: usually, time required to develop new food products varies from 6 months to 3 years, depending on the level of new technology and innovation involved. With less research time and less testing needed, time to market would reduce significantly. MATILDE has been proven to reduce time to market from approximately 7 months to 2 months
  • Cost optimization: implementing MATILDE in recipe development streamlines the testing process, reducing the need for extensive trial and error. With MATILDE’s accurate predictions, testing becomes primarily confirmatory, significantly minimizing raw material waste. We estimate a 30% reduction in wasted materials and an 70% decrease in the number of tests required

MATILDE stands as a groundbreaking tool that leverages the power of AI to revolutionize recipe development in the food industry. By integrating MATILDE into the strategic decision-making process—such as recipe prediction—it empowers companies to stay ahead in an ever-evolving market. As the food. industry advances, adopting AI solutions like MATILDE will be essential for fostering innovation and sustaining a competitive advantage.
To learn more about Matilde, visit: https://intellico.matilde.ai/

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