This document discusses how chatbots using Dialog Flow can work for the real estate industry. It notes that chatbots are important for real estate as they are available 24/7 to generate leads, qualify customers, and provide virtual property tours. Dialog Flow allows building rule-based or AI-based chatbots that can help home seekers find properties, connect with agents, and get information. The document then explains how a Dialog Flow chatbot works by understanding a user's intent through natural language, fulfilling their request using an agent module, and returning an accurate response.

1. How a Chat bot
Using Dialog
Flow Works For
the Real Estate
Industry.
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2. Overview
• Why is it Important to Have
a Chatbot in Real Estate?
• What is a Dialog flow
Chatbot and what are its
benefits?
• How does the Dialog flow
Chatbot work?
• Conclusion

3. Why is it Important to Have a
Chatbot in Real Estate?
• Be it through text or voice mediums, chatbots are making their mark
in the realm of real estate customer service.
• When it comes to real estate marketing, an increasing number of
consumers prefer to communicate or get real-time answers to their
queries from chatbots or messaging apps.

4. Why should any real estate
business invest in chatbot
technology? Here are the
leading reasons why:

5. • Thanks to its 24/7 availability, chatbots
can help in lead generation by
improving the number of real estate
sales leads, while at the same time,
provide qualified answers to customer
queries.
• Using natural language processing,
your real estate AI bot can determine
and qualify what your potential
customer wants without any human
intervention.

6. • Potential customers, who are
too busy to visit the actual
property, can be guided
through a 360-degree virtual
tour of the property by the
real estate chatbot.
• Save business cost and time
by automating processes like
lead generation, customer
query resolution, property
viewings, and new client
onboarding.

7. What is a
Dialog flow
Chatbot and
what are its
benefits?

8. Rule-based chatbots, which as the name suggests, are powered by
defined rules for delivering solutions for problems that the chatbot is
familiar with. For example, a user looking for a business phone number
or email address. Like being implemented as a flowchart, the entire
business-customer interaction is mapped to anticipate what the
customer may ask and how the chatbot should respond to the query.

9. AI-based chatbots, that make use
of technologies like machine
learning and NLP to formulate a
response that is based on the
overall context and understanding
of the customer query. Through
continuous learning and
improvement, AI-based chatbots
are more flexible in their
responses to even complicated
questions. An example of a real
estate chatbot powered by AI
would be to suggest a home
buying checklist for a first-time
buyer.

10. Similarly, the Dialog flow tool can be used to build
chatbots that can benefit home seekers and property
agents in the real estate sector in multiple ways
including:

11. How does the
Dialog flow
Chatbot work?

12. • Help home seekers find the right property
based on their requirements.
• Connect property seekers with the right
property agent who can fulfill their needs.
• Quicken the property buying or renting
process by answering common property-
related queries from buyers.
• Interact with home seekers in natural
human language seamlessly over various
social networking platforms like Facebook.
• Reach out with real estate-related services
to a wider customer base located in different
geographical locations.

13. User
Qualifies for any human user or customer interacting with the business through chatbots.

14. Text/ Voice
Represents the mode of
communication of the user with the
chatbot. Text-based communication
qualifies for instances when the user
interacts with the chatbot through
text messages on the messaging
window. Voice-based communication
qualifies for any instance when the
user speaks using natural language
with the chatbot.

15. Dialog flow
The chatbot platform used to process
user input.
Agent
A Dialog flow module that uses NLP
technology to understand the user
request and provide an appropriate
response or take suitable action. In other
words, the agent converts the user
request into actionable data.

16. Intent
A programmable code that
determines what the user
wants from the chatbot
system. The intent code is
configurable by chatbot
developers and can group
different user expressions
that basically means the
same thing.

17. Fulfillment
The programmable code used to deliver the
user request from the chatbot and return an
appropriate response back to the user. For any
chatbot using Dialog flow AI, its primary
objective is to provide or fulfill the user’s
intent with an accurate response.

18. Conclusion
Be it for customer service or business marketing, chatbots are
here to stay and elevate any customer interaction with the
business. Powered by artificial intelligence and cloud
technology, the Google Dialog flow tool has further simplified
the creation of intelligent chatbots.