Revolutionizing product development in the food, pharma and chemical
Complexity of Recipes Development
The development of new recipes has traditionally been a complex and time-consuming process. Traditional methods for creating new recipes often involve extensive laboratory research, tastings, and multiple rounds of testing. With the growing demand for innovation and personalized products, companies are under increasing pressure to accelerate this process while maintaining high quality and a focus on consumer health. This challenge is particularly evident in industries such as food and beverages, pharmaceuticals, and chemicals, where precision, safety, and efficiency are crucial. In this context, artificial intelligence (AI) becomes a reliable tool in transforming industry.
Challenges Faced by R&D Engineers
R&D engineers are facing a challenge to keep up with all the dependencies between ingredients, costs and previous experience. Sometimes there are no clear patterns on how combinations of ingredients will react and what the outcome will be. In the end, domain experts are relying solely on their own limited experience and “gut`s feelings” to tackle this spider like net involvements.
Leveraging AI for Efficient Product Development
AI offers significant opportunities to accelerate and optimize such processes. By analyzing large volumes of data from existing recipes, consumer feedback, and global trends, AI can identify potential recipe combinations and profiles that meet current market demands. This enables companies to create products that not only meet consumer taste preferences but also align with emerging trends in the food industry.
Our approach is using databases that encompasses data for both recipes and ingredients. Then, a proprietary developed RAG-based chatbot allow domain-specific users to query the ingredients and recipes. This AI system is robust enough to handle both structured and unstructured data, and it can persist contextual and semantic information in vector databases such as Pinecone and Chroma DB.
By leveraging LLMs (Large Language Models) and efficient prompt engineering, domain experts can create and propose new recipes based on taste profiles and cost constraints. Last but not least – using AI not only shorteners the time between ideas, but give fundamental inputs for adequate supply, technology capacity and sizing.
Work Nomads: Driving Innovation in Product Development
At Work Nomads, we specialize in optimizing and innovating industries through combining virtual and physical assets, together with AI. If you’re looking to accelerate your product development and stay ahead in a competitive market, get in touch with us to explore how we can support your journey.