Section 6: Market and Price Analysis
- Using AI to summarize market data and help compare properties (comparables) at a basic level
- Preparing data to support pricing and client presentation
- Cautions on verifying price and market data before use
- Workshop: use AI to summarize market data for a sample property and prepare presentation data
Section 7: Lead Care and CRM
- Using AI to help care for leads and prioritize customers
- Preparing follow-up and care messages suited to each status
- Summarizing and categorizing customer data for better care (on masked data)
Section 8: Agent Assistant and Knowledge Base
- Building a Custom GPT or Gem as an assistant answering customer questions on properties and terms
- Embedding property data and FAQ for consistent, on-brand results
- Connecting the assistant to LINE OA and handing off to the team when needed
- Workshop: build one agent assistant to answer common questions
Section 9: Real Estate Automation with n8n
- Setting up automation with n8n, such as lead care and automated client follow-up
- Distributing listings and alerting on new leads
- Connecting data across channels for a complete customer view, with access control
- Workshop: design one simple automation flow for agent work
Section 10: Documents, Accuracy and PDPA
- Using AI to help with documents and basic contract summaries, always with review
- Cautions on the accuracy of property data, prices and terms
- Customer personal data under PDPA and setting the team's AI usage guideline
Section 11: Capstone Project and Real-world Adoption
- Task: set up an end-to-end AI toolkit for the learner's agent work, from listings and content and presentation media and customer service to an assistant and lead care
- Present the work and get feedback from the instructor and peers
- A first-30-days adoption plan and setting up AI use for the whole agent team