Conversational AI for Luxury Hospitality Chain: Unlocking Data-Driven Insights
Overview
A luxury hospitality chain sought a conversational AI solution to extract actionable insights, interpret complex queries, and navigate intricate SQL databases. The goal was to enable versatile capabilities, including Q&A management, summarization, and real-time data visualization, to enhance decision-making at customer, sales executive, and corporate levels.
Solution
The solution seamlessly integrated diverse data sources, including MySQL, SQLite, PostgreSQL, Oracle, Microsoft Access, Amazon RDS, and Google Cloud SQL, alongside multimedia files like text and audio. Using Lang Chain Agents, user queries were analyzed and converted into machine queries. Extracted data was transformed into natural language insights using Large Language Models (LLMs). The system incorporated advanced methodologies like Lang Chain Chains and SQL Database Agents, with audio/text processing powered by Google Recognizer. Real-time dashboards and predictive analytics were enabled through models like OpenAI GPT-3.5 Turbo 4k (best performer) and open-source LLMs such as Neural Chat 7B, Dolphin 7B, DeepSeek 7B, and SQL Coder 7B.
Impacts
Enhanced Decision-Making:Â Delivered real-time, accurate insights in natural language and visual formats, enabling predictive actions and cross-sell/up-sell recommendations.
Operational Efficiency:Â Streamlined data retrieval and analysis, reducing response times and improving user experience across customer, sales, and corporate levels.
