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Rakuten advisory platform

Case Study

Rakuten Transforms Fund Advisory with Neuranet AI

Rakuten modernized fund advisory operations by deploying Neuranet to structure unstructured fund content, analyze real-time market data, and deliver secure AI-guided recommendations at scale.

Challenge

  • Thousands of fund brochures arriving in unstructured formats.
  • Constantly shifting market conditions requiring real-time analysis.
  • Advisors and clients demanding faster, smarter fund recommendations.
  • Compliance and data residency requirements unique to Japan.

Solution

  • Structuring fund brochures into searchable knowledge blocks using GARAGe templates.
  • Integrating real-time market data for dynamic fund performance analysis.
  • Enforcing secure, role-based access for brokers, advisors, and retail clients.
  • Embedding Neuranet into Rakuten's SuperSearch platform for seamless user experience.
  • Creating a continuous learning loop from user interactions and new fund data.

Results

  • Delivered 60% faster fund recommendations, reducing research time from hours to minutes.
  • Ensured full compliance with encrypted access and data residency in Japan.
  • Provided private, policy-aligned AI responses sourced from Rakuten's own data.
  • Scaled effortlessly with Rakuten's expanding product offerings and user base.
  • Earned advisor trust by enhancing, not replacing, human expertise.