DXHR, Inc. (Headquarters: Shibuya, Tokyo; Representative: Kazunari Maeda) has announced the launch of the 'Real Estate Sales Generative AI Mastery Course,' an industry-specific generative AI training program for real estate professionals.
This 12-chapter, 12-hour e-learning program systematically teaches how to integrate generative AI into every aspect of real estate sales operations. Based on industry literature and standardization research, the course breaks down real estate sales into 86 tasks, categorizing them into four levels: 'Automation,' 'Collaboration,' 'Support,' and 'Human Judgment.' Participants learn how to utilize 12 different AI tools—including ChatGPT, Claude, and Gemini—and acquire practical prompts specifically for the real estate industry through video lectures, assignments, and live demonstrations.
Background and Purpose
Real estate sales involve diverse responsibilities, including creating property brochures (Myso-ku), registering properties on portals, responding to inquiries, property investigations, price assessments, preparing important matter explanation documents (Jyusetsu), contract maintenance, and tax calculations. In particular, creating the Jyusetsu document requires integrating data from land registries, legal regulations, management bylaws, hazard information, and contract terms. This is a critical task for licensed real estate notaries, often taking approximately four hours per case.
While the adoption of generative AI is spreading rapidly across industries, the real estate sector faces challenges such as, 'We don't know which AI tool to use for which task,' and 'General AI training cannot handle real estate-specific terminology or operational workflows.' DXHR addressed this by creating an 'Operation Breakdown Map' for 86 real estate tasks, defining the optimal role distribution between AI and humans. The training focuses on defining which tasks AI should handle versus human decision-making, rather than just teaching tool operations.
Service Overview
This 12-hour e-learning program is composed of 12 chapters across three blocks: 'Introduction/General Skills,' 'Industry Specialization,' and 'Integration/Internal Deployment.'
- Feature 1 | Designed based on the 'Operation Breakdown Map': Systematizes the optimal AI usage by classifying 86 tasks into four levels. - Feature 2 | Utilizing 12 AI Tools: Tools such as ChatGPT, Claude, Claude Cowork, Gemini, Microsoft Copilot, Canva AI, NotebookLM, Dify, Notta, Gamma, Mapify, and v0 are assigned based on task requirements. - Feature 3 | Reducing Jyusetsu Preparation Time by ~60%: Chapter 9 covers the entire workflow from brokerage contracts to drafting the Jyusetsu, consistency checks, and generating IT-Jyusetsu slides, reducing preparation time from 4 hours to approximately 1.6 hours.
FACT BOX
- Source: PR TIMES
- Category: New Product