The client is a large-scale food and beverage enterprise in Japan with a strong presence across beverages and consumer food products. With an extensive customer base and a well-established brand, the company places high importance on customer engagement, brand experience, and continuous innovation in a highly competitive market.

As consumer interactions increasingly shift to digital channels, the client aims to enhance its web and mobile platforms through AI-driven personalization. The goal is to deepen user engagement, enable more relevant product and event discovery, and unlock new revenue opportunities, while maintaining enterprise-grade security, scalability, and operational reliability.

• Modular architecture: Built a separate recommendation/matching engine that is plug-and-play, allowing staged rollouts and clear measurement of results.
• Authentication management: Integrated Firebase Auth with Supabase for shared user storage and access control. All API requests to AI services are authenticated via JWT tokens, combined with Supabase RLS to ensure each user can only access their permitted data.
• UI/UX improvements: Upgraded web and mobile interfaces. Components now support real-time predictions, chat with a virtual assistant, and analytics dashboards. Fixed issues related to screen transitions and form persistence. These improvements make the user experience more intuitive and consistent.
• Notification system: Combined SendGrid for system emails (verification, promotions, etc.) with FCM for in-app push notifications. Optimized configurations to reduce delivery failure rates and ensure users receive timely messages.
• Enhanced security: Conducted a comprehensive review of Supabase database structure and implemented RLS policies. Prepared security guidelines and audit artifacts for third-party inspection. This ensures compliance with personal data protection standards and builds client trust.