AI-Driven Business Intelligence
AI-Driven Real Estate Assistant
Introduction
OVERVIEW
Development of an automated calling LLM model for a real estate agency to handle sales calls and inquiries.
Client Background
AussieProp AI is a forward-thinking real estate agency based in Australia, seeking to leverage AI technology to enhance their customer service and sales processes.
challenge
Problem Statement
AussieProp AI needed an intelligent system to automatically handle incoming sales calls, answer client queries, and seamlessly transfer complex inquiries to human agents when necessary.
Key Issues
- Developing an LLM model capable of natural conversation in Australian accents
- Ensuring accurate responses to a wide range of real estate queries
- Implementing a smooth handover process to human agents for complex inquiries
sollution
AI Implementation
AIMLEXPERTS developed a sophisticated LLM model trained to handle real estate sales calls, mimic Australian accents, and intelligently manage client interactions. The model was trained on extensive real estate data and Australian linguistic patterns, enabling it to engage in natural conversations, answer common queries about properties, pricing, and market trends, and identify when a query requires human expertise. In such cases, it smoothly transfers the call to the appropriate team member, ensuring a seamless customer experience.
Technology Used
- Large Language Model (LLM) fine-tuned for real estate domain
- Natural Language Processing (NLP) for intent recognition
- Speech recognition and synthesis with accent adaptation
- Sentiment analysis for detecting customer satisfaction
- Automated call routing system for seamless transfers to human agents