When it comes to food shopping online, consumers depend on precise product information to make informed choices, especially concerning dietary needs and allergies. However, inaccurate data can lead to mislabeled products and incorrect search results, adversely affecting customer experience and safety.
The Hidden Dangers of Bad Data: Why Accurate Product Labelling Matters Read More »
GLP-1 medications are not magic bullets. Their efficacy is amplified when combined with evidence-based nutritional advice and sustained behavioural changes. Without these elements, patients may not fully benefit from the metabolic and appetite-regulating advantages of GLP-1 treatments. Digital tools and credible Nutrition AI solutions have the potential to bridge the gap between patients and experts, offering scalable, personalized support that enhances the effectiveness of GLP-1 treatments.
Announcing the launch of Spoon Guru\’s innovative Nutrition Intelligence app for grocery retailers on Google Cloud Marketplace. This will enable us to better deliver unique solutions, at scale, to more retail clients.
Embracing Innovation: Spoon Guru Welcomes Tech Leader Alex Rutter to Board Read More »
Announcing the launch of Spoon Guru\’s innovative Nutrition Intelligence app for grocery retailers on Google Cloud Marketplace. This will enable us to better deliver unique solutions, at scale, to more retail clients.
Announcing the launch of Spoon Guru\’s innovative Nutrition Intelligence app for grocery retailers on Google Cloud Marketplace. This will enable us to better deliver unique solutions, at scale, to more retail clients.
Incorporating an AI-based Nutrition Data component to your existing technology stack might seem like a daunting task, but it doesn\’t have to be. Here\’s why the easiest solution is to partner with a specialized technology provider like us, and gain immediate access to cutting-edge solutions without the hassle of in-house development.
Build vs Buy – The never ending conundrum Read More »
What does the future of AI assistance in food and nutrition look like? Our CTO explores the potential of Small Language Models (SLMs) to help us navigate dietary choices, combat food waste, and vigilantly monitor our health in this final instalment of our AI series.
The Future Unveiled: Small Language Models in Nutrition’s Next Frontier Read More »
What are the practical applications of Small Language Models (SLMs) in the food and nutrition sector? Our CTO explores the transformative potential for Recipe Recommendations, Meal Planning, Dietary Trend Analysis and Customer Interactions in this instalment of our AI series.
Transforming Nutrition: How Small Language Models Reshape the Way We Eat Read More »
In the third instalment of our AI series, our CTO looks at the pros and cons of Small Language Models (SLMs), and the invaluable personalisation opportunities they present for the food and nutrition industries.
Navigating Small Language Models in Nutrition: Pros, Cons, and the Road Ahead Read More »
In the realm of nutrition, the emergence of AI offers an unparalleled opportunity. This post looks at the difference between Small Language Models (SLM) & Large Language Models (LLM) and the functions, applications and use cases of SLMs for those working in the nutrition and food sectors.
Small Language Models (SLMs) in Nutrition: Unrivalled Precision and Context-Awareness Read More »
