Section 6: Lead Care and CRM
- Using AI to help care for leads and prioritize customers
- Preparing follow-up and care messages suited to each status, including after-sales care
- Summarizing and categorizing customer data for better care (on masked data)
- Workshop: prepare a lead-care and after-sales customer message set with AI
Section 7: Chatbots and Dealer Assistants
- Building a Custom GPT or Gem as an assistant answering customer questions on car specs, prices and basic financing
- Embedding vehicle data and FAQ for consistent, on-brand results
- Connecting the assistant to LINE OA and handing off to the sales team when needed
- Workshop: build one dealer assistant to answer common questions
Section 8: Sales and Inventory Analysis
- Using AI to analyze sales data and summarize best-selling models and periods worth promoting
- Helping review inventory and cars that should be cleared faster
- Preparing summary reports to adjust sales and marketing
Section 9: Dealer Automation with n8n
- Setting up automation with n8n, such as lead care and automated customer follow-up
- Service reminders, periodic check-up appointments and post-sale review requests
- Connecting data across channels for a complete customer view, with access control
- Workshop: design one simple automation flow for the dealer
Section 10: Customer Data, Accuracy and PDPA
- Controlling the accuracy of vehicle, spec, price and financing-terms data before publishing
- Customer and financial data to be careful with: what can and cannot go into AI
- 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 dealer work, from listings and content and marketing 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 dealer team