Engagement overview

Idanim, a leader in meditation and wellness, faced challenges in delivering highly personalized and accessible meditation experiences at scale. To address this, TO THE NEW partnered with Idanim to craft an AI-powered solution using cutting-edge GenAI technology. Leveraging our GenAI expertise, we deployed a high-performance chatbot integrated with the Qdrant vector database and OpenAI models. This solution enabled a dynamic recommendation system, offering users tailored meditation audio, videos, and resources.

Business objective

Build a recommendation engine to provide personalized meditation content, enhancing user engagement

Develop a Virtual Assistant for meditation queries with guided sessions and personalized recommendations

Our solution

Implemented a recommendation engine leveraging GenAI to curate personalized meditation content, ensuring users received tailored audio, video, and textual resources aligned with their preferences and needs

Developed and deployed a high-performance chatbot powered by OpenAI models and Qdrant vector database to understand complex user queries and deliver precise, guided responses

Enhanced user interaction by integrating advanced NLP capabilities into the virtual assistant, fostering deeper engagement and improving the overall user experience

Streamlined content accessibility by introducing efficient content retrieval mechanisms, making meditation blogs, guided sessions, and other resources easier to discover

Localized content delivery by supporting bilingual capabilities (Hindi and English), catering to a broader and more diverse audience

Our Tech Stack

Tech Stack

 

Business benefits

Through this partnership, TO THE NEW successfully revolutionized Idanim's meditation platform, showcasing the transformative potential of AI-driven solutions in enhancing user engagement and personalization. The implementation of a GenAI-powered recommendation engine and virtual assistant delivered remarkable outcomes for Idanim:
  • Delivered personalized recommendations, streamlining information retrieval, and minimizing manual interventions
  • Enhanced user interaction and engagement through refined natural language processing capabilities integrated into the virtual assistant
  • Provided actionable insights for content strategy and decision-making by analyzing user queries and retrieval patterns effectively
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