Retailers are under constant pressure to diversify and emphasise their product offering through a health lens. However, differentiating “healthier” products is highly complex, requiring data-led nutrition and demanding attention from regulatory framework, nutritional guidelines, and product label knowledge.
Feature Posts
One of the most important aspects of a food retailer’s site is its search functionality. Without a robust system in place, you inhibit your customers’ ability to shop for the products they need. With the correct indexing customers can find what they’re looking for with ease.
Learn how Spoon Guru’s health-based segmentation empowers retailers to deliver highly personalized omnichannel experiences that drive customer loyalty, satisfaction, and healthier shopping habits by aligning with individual dietary preferences and restrictions. This is the final instalment of our 3-part blog series on personalization.
In the second of our personalization series, discover how Spoon Guru’s health-based segmentation helps retailers gain deeper insights into customer dietary habits, enabling them to deliver tailored experiences, foster loyalty, and encourage healthier purchasing behaviors. This is the second in our 3-part blog series on personalization.
Personalized nutrition is reshaping the way we shop. Here’s how Spoon Guru’s advanced health scoring system helps retailers to offer tailored recommendations that improve customer experiences and boost loyalty. This is the first of a 3-part blog series on personalization.
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.