An Intelligent (Machine Learning) AI Platform for Health and Fitness

Overview

Obesity rates have tripled since 1975 and are projected to reach 15% of the global and Singaporean population by 2024. Existing health and fitness apps have limitations, failing to make a long-term difference for users. Customers often opt out due to data input requirements, lack of personalization, and the non-motivating nature of the apps. Furthermore, the current knowledge of customers in the public and personal health insurance and enterprise industry is limited, resulting in rising healthcare costs and an inadequate connection between insurance providers and their customers. There is a clear need to go beyond rewards-based daily steps trackers and gain a better understanding of customers' preferences and motivations. 
 

Our Innovation

An intelligent AI platform that harnesses the power of machine learning to address the challenges in the health and wellness industry. Leveraging established behavioral science, intervention & change research, and advanced back-end data algorithms, the platform personalizes individual's activity and dietary preferences, as well as their motivational blueprint. It utilizes cutting-edge technologies such as Tensorflow and PyTorch machine learning frameworks, Jupyter Notebooks on Amazon SageMaker, and optimized algorithms for customer segmentation analysis. It also incorporates capabilities like convolutional neural networks (CNN) for Food AI development and recurrent neural networks (RNN) and natural language processing (NLP) for text analysis. By leveraging these innovations, it creates a dynamic and personalized experience for users. 

 

Benefits

  • Higher user engagement and retention compared to traditional health and fitness programs. 
  • Reduced opt-out rates: 60% opt out after 6-8 uses, 44% due to data input requirements, and 57% due to the non-personal nature of existing apps. 
  • Targets the sedentary majority, leading to greater success in achieving weight loss and improved activity levels. 
  • Continuous AI learning provides a personalized experience that adapts to the user's health journey and lifestyle changes. 
  • Improved customer health leads to reduced claims and claims processing costs. 
  • Increased customer retention and brand awareness. 
  • Enhanced "corporate citizenship" branding. 
     

Applications

  • Insurance industry: Enables personalized interactions with customers, resulting in improved health outcomes and increased retention. 
  • Government sector: Facilitates targeted interventions and wellness programs by gaining deeper insights into citizen health. 
  • Enterprise wellness: Enhances existing corporate apps by providing valuable customer insights, leading to better investment returns. 
  • Consumer market: Offers a more personalized and effective alternative to traditional health and fitness programs, catering to individual goals and needs. 

    If you're interested in this technology, please contact KTC.