January 29

ESSNA on the latest developments in AI and sports nutrition

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Decision makers are in the process of introducing legislation governing the use of AI. In this context, staying current on both industry and policy developments is critical for capitalising on emerging opportunities and addressing upcoming challenges.

However, the debate surrounding AI is constantly evolving, as is its significance in the sports and active nutrition sector. ESSNA has begun to investigate how sports nutrition and AI are linked, as well as the opportunities and challenges that lie ahead, particularly in light of the policy framework that is being developed—for the first time—in the European Union.    

AI and personalised nutrition: Challenges and opportunities

With research and science at the heart of the sports foods sector’s growth, personalised nutrition and the transition from a one-size-fits-all model to products tailored to consumer need will continue to trend, with AI set to play a key role.

Businesses can use AI apps to analyse sensory data and consumer preferences to optimise product development and fine-tune their formulations and flavours. What’s more, as AI becomes more advanced and ‘deep learning’ tools capable of intelligent decisions become ubiquitous, so too does the possibility of generating unique assessments of consumers’ nutritional needs and analysing the effectiveness of ingredients to provide bespoke products and services.

AI can help companies produce tailored products based on individuals’ genetics, differences in nutrient processing and lifestyle patterns, allowing sportspeople to transcend biological limitations and optimise their performance. Beyond product development, companies can also use AI to expand their customer base with service-led solutions, providing meal plans, recipes and education.

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AI, Regulation & legislation, Regulation & Policy, Sports Nutrition


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