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Metaverse Retail Platform Enhancement with Generative AI Chatbot
  1. case
  2. Metaverse Retail Platform Enhancement with Generative AI Chatbot

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Metaverse Retail Platform Enhancement with Generative AI Chatbot

trigent.com
Retail
eCommerce
Information technology
Gaming

Challenges with Immersive Shopping Experience

The existing metaverse application, built with panoramic images, lacked interactivity and personalized product recommendations. Customers required a more engaging and tailored experience, with real-time assistance and responses to queries. The initial passive walkthrough was insufficient to drive conversions and build a strong sense of community within the virtual space.

About the Client

A leading retail technology company focused on revolutionizing the beauty retail experience through immersive technologies like AI, AR, and VR, fostering a community-oriented shopping environment.

Project Goals

  • Develop an interactive, multi-platform metaverse application accessible on Quest Store, iOS, Android, Oculus, and XR platforms.
  • Implement a generative AI chatbot to provide personalized product recommendations, answer customer queries, and enhance user engagement.
  • Increase customer time spent within the virtual shopping environment.
  • Improve customer satisfaction through quick and relevant responses.
  • Drive higher conversion rates through tailored product suggestions.

Functional Requirements

  • Virtual user identity management
  • Behavior tracking and analytics
  • Multiplayer functionalities with VR and touch interactions
  • Generative AI chatbot with natural language processing and context-aware conversations
  • Personalized product recommendations based on user preferences and skin types
  • Retrieval Augmented Generation (RAG) for enhanced chatbot capabilities
  • Integration with product catalog and inventory management systems

Preferred Technologies

Unity 3D
OpenAI APIs (GPT-3.5 Turbo LLM)
Vector Databases
Quest Store SDK
iOS SDK
Android SDK
Oculus SDK

Required Integrations

  • Product catalog API
  • Inventory management API
  • Customer data platform (CDP)

Non-Functional Requirements

  • Scalability to support 15,000+ concurrent users
  • High performance and low latency for smooth user interactions
  • Data security and privacy compliance
  • Cross-platform compatibility
  • Robust error handling and logging

Expected Business Impact

The project is expected to significantly enhance customer engagement, drive higher conversion rates, reduce customer service workload, and solidify the retailtech brand's position as an innovator in the beauty retail space. The personalized and interactive experience will foster a stronger sense of community and brand loyalty, ultimately leading to increased revenue and market share.

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