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.
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GLP-1 medications have dramatically changed the weight management landscape, and retailers have a unique opportunity to play a key role in supporting those using it.
Retailers that adapt to evolving consumer needs and create simple, supportive journeys will be well positioned to shape the future of health-focused retail. Ultimately, supporting customers, including those on GLP-1 medications, means building an evidence-based, nutrition-focused retail environment that strengthens trust, engagement and long-term loyalty.
With greater awareness, early intervention, and the use of technology to advance both personalised nutrition and informed food system decisions, we can enhance nutritional health, improve wellbeing, and reduce the risk of malnutrition.
Discover how shifting consumer health habits, driven by chronic health conditions, the GLP-1 boom and evolving wellness goals are reshaping the way people discover, choose, and engage with food. In our webinar, industry experts joined Spoon Guru for a strategic conversation on turning shifting consumer health habits into commercial growth.
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.
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.
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.
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.