Agentic AI solution for a Proptech Company in India
Introduction
We are building an Agentic AI solution for a Proptech company in India leverages advanced language models and integrated data systems to deliver efficient, real-time assistance for sales and operations teams.
Solution Overview
- The Agentic AI Chatbot uses LLMs (Large Language Models) to provide instant, contextual responses for property status, operational queries and sales support.
- Direct connectivity to the live MYSQL property database enables up-to-the-minute accommodation availability and details that are critical for time-sensitive transactions.
- The chatbot accesses and interprets SOP documents stored on Google Drive (including Word and PDF formats), offering operational guidance and answering procedure-related inquiries seamlessly.
Application & Integration
- The solution will be accessible via an intuitive UI Chatbot (Based on our proprietary Ask Narrator) and fully integrated into Slack Bot, ensuring that sales and operations teams can obtain instant responses regardless of platform or location.
- This omnichannel approach empowers staff to work efficiently whether in the field or at their desks which will expedite deal closures and operational troubleshooting.
Key Benefits
- Savings: Significant time and resource savings through automation of repetitive queries and instant access to the latest property data and SOPs.
- Increased sales velocity: The immediacy of information expedites customer handling and deal closures which is crucial given the competitive and time-sensitive nature of student accommodation sales.
- Enhanced user experience and operational consistency: Staff rely less on manual information retrieval, reducing errors and maintaining SOP compliance.
Impact Summary
This agentic AI will empower the company to operate with greater agility, reliability and speed, turning routine data access and queries into real-time solutions for sales and operations team driving business growth and customer satisfaction in a high-demand market
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