Back to Work

AI Concierge (Voice + Chat)

Intelligent voice and chat assistant powered by GPT-4 and Claude for seamless onboard guest services

Overview

Designed and built a proof-of-concept AI concierge system that combines voice recognition, natural language processing, and real-time integration with ship services. The system enables guests to make dining reservations, book shore excursions, and get instant answers to common questions using natural conversation.

<2s
Avg Response Time
95%
Intent Accuracy
10+
Service Integrations

The Challenge

Guests often faced long wait times when trying to make reservations or get information from the concierge desk. The manual process was time-consuming for both guests and staff. The challenge was to create an AI system that could authentically understand natural language, access real-time availability data, and complete transactions autonomously.

The Solution

GPT-4 & Claude Integration

Implemented a hybrid AI approach using GPT-4 for natural language understanding and conversation flow, with Claude for complex reasoning and context retention. Built custom prompts and fine-tuned responses for hospitality-specific scenarios.

Voice Interface

Integrated speech-to-text and text-to-speech APIs for natural voice interactions. Implemented wake word detection and real-time transcription. Added support for multiple languages and accents common to cruise passengers.

Real-time API Integration

Connected to existing dining reservation systems, shore excursion APIs, and ship information databases. Implemented real-time availability checking and transaction processing. Added fallback handlers for when human intervention is needed.

Technologies Used

GPT-4ClaudeOpenAI WhisperReact NativeNode.jsWebSocketsREST APIsPostgreSQLRedisLangChain

Outcomes & Impact

  • Achieved 95% accuracy in understanding guest intent and requests
  • Reduced average concierge desk wait times by 70%
  • Successfully completed 90% of dining reservations autonomously
  • Positive guest feedback with 4.6/5 satisfaction rating in pilot
  • Demonstrated ROI potential for fleet-wide deployment
Built with v0