• INDUSTRY: Real Estate
  • Vertical: Gen AI, Chatbot
  • Location: USA
  • Completed Date: 30-09-2024

Executive Summary

A leading real estate portal sought to enhance its user experience and operational efficiency by implementing a Generative AI powered chatbot. This initiative aimed to leverage cutting-edge technologies to provide users with an intuitive, conversational interface for property search while also improving internal data management and accessibility. This case study explores the project's objectives, the developed solution, the technologies utilized, and the resulting impact on both users and the organization.

Vision

The real estate portal, serving a large and diverse user base, recognized the potential of Generative AI to revolutionize how users interact with their platform. The goal was to create an intelligent chatbot that could understand natural language queries, access and analyze structured data, and provide relevant, accurate responses in real-time. This project was seen as a key step in enhancing user engagement and streamlining internal workflows.

Challenge

The organization faced several challenges with its existing prescription identification process::

  • icon Complex Search Process: Traditional property search methods often require users to navigate complex filters and forms.
  • icon Data Accessibility: Internal data was not easily accessible or queryable in a conversational manner, hindering efficient operations.
  • icon Customer Support Burden: Repetitive queries from users placed a significant burden on customer support teams.
  • icon Need for Innovation: The portal aimed to stay at the forefront of technology and provide a differentiated user experience.

Solution

OktaBytes team helped the real estate organization develop a Generative AI powered chatbot with the following features:
  • icon Natural Language Understanding: Leveraging Large Language Models (LLMs) to understand and interpret user queries in natural language.
  • icon Data Integration: Connecting the chatbot to the organization's data warehouse to retrieve and analyze property data.
  • icon Conversational Interface: Providing a seamless, interactive experience that allows users to ask questions and receive responses in a conversational manner.
  • icon Dynamic Query Generation: Enabling the chatbot to generate dynamic SQL queries to retrieve data from the database.
  • icon Personalized Interactions: Tailoring responses based on user roles and access levels.
  • icon Session History: Allowing users to view their conversation history for context and continuity.
  • icon Caching Layer: Implementing a caching layer to reduce latency and improve response times.
  • icon Admin Interface: Creating an intuitive interface for administrators to manage and update the chatbot's configurations, prompts, and data connections.
  • icon A/B Testing: Implementing A/B testing capabilities to optimize LLM and prompt combinations for accuracy and performance.
  • icon Modular Architecture: Developing a modular architecture to integrate various LLMs and ensure scalability and flexibility.

Tech Stack

Python

Claude 3.5 Sonnet

Llama 3

Terraform

AWS Services

S3

Icon-Architecture/64/Arch_AWS-SageMaker_64Created with Sketch.

SageMaker

API Gateway

Lambda

RDS

Icon-Architecture/64/Arch_Amazon-EventBridge_64

EventBridge

Icon-Architecture/64/Arch_AWS-Simple-Notification-Service_64Created with Sketch.

SNS

Icon-Architecture/64/Arch_AWS-Simple-Queue-Service_64Created with Sketch.

SQS

Impact

  • icon
    Improved User Experience: The chatbot provided an intuitive and engaging way for users to search for properties.
  • icon
    Enhanced Data Accessibility: Internal users could access and query data in a conversational manner, improving efficiency.
  • icon
    Reduced Customer Support Burden: The chatbot handled many common queries, freeing up customer support staff.
  • icon
    Increased Efficiency: Automated query generation and data retrieval streamlined internal processes.
  • icon
    Scalability and Flexibility: The cloud-based architecture and modular design ensured scalability and adaptability.
  • icon
    Data-Driven Insights: The chatbot's interactions provided valuable data and insights into user behavior and preferences.

Conclusion

The development and implementation of the Generative AI chatbot significantly transformed the real estate portal's operations and user experience. By leveraging advanced AI technologies and a robust architectural design, the organization achieved its goals of providing a seamless, efficient, and innovative platform for property search and data management. This case study highlights the power of AI to revolutionize traditional industries and drive digital transformation.

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