Feb 24, 2026
Digital Practical Training Camp for the Construction and Decoration Industry: Creating a New Model of Mutual Benefit and Prosperity
On February 24, 2026, Share Building Materials held the "AI-Led Green Transformation—AI Digital Transformation Bootcamp for the Building Decoration Industry" course. Focusing on the dual axes of industry digitalization and sustainable development, the course invited industry experts and consultants to provide hands-on training, guiding participants through project management, regulatory inquiries, data analysis, and ESG trends. Participants gained a comprehensive understanding of key AI applications, opening up new transformational thinking for the building decoration industry.
This course featured lecturer Chen Zhixin, who used a practice-oriented approach to guide participants in using various AI tools, ensuring that digital transformation is not just a concept but truly implemented in daily workflows.
Arena AI Practical Exercise: Enhancing Engineering Crisis Response Capabilities
At the start of the course, the instructor used Arena AI to simulate crisis management and design budget communication scenarios in engineering projects. Through AI simulations of situations such as client changes in requirements, budget cuts, and construction conflicts, participants practiced response strategies.
This scenario-based learning not only helped participants better understand communication dynamics and risk management logic, but also turned AI into a "training ground," enabling teams to simulate various possible scenarios before actually facing clients, thus reducing project risks.
Perplexity Precise Search: Improves the Efficiency of Regulatory and Competitive Analysis
The following introduction to Perplexity AI showcases its powerful data integration and real-time search capabilities. The course demonstrates how to use AI to directly query professional regulations such as land development laws and special specifications for medical spaces, while simultaneously providing the URLs of cited sources, significantly reducing the time required to find information.
Furthermore, Perplexity can also perform competitive analysis, helping companies quickly organize market information, summarize competitors' strengths and weaknesses, and develop positioning strategies. For the construction and renovation industry, which frequently needs to consult regulations and market data, this tool can effectively improve decision-making efficiency and professional accuracy.
NotebookLM Chart Analysis: Turning Data into Decision-Making Basis
The afternoon session focused on data integration and application, with the instructor guiding students through a hands-on practice session with NotebookLM. By simply uploading three engineering charts, the system automatically analyzes unit prices, differences in engineering specifications, and key cost structure points, generating a bullet-point summary.
Through AI-assisted analysis, tasks that previously required hours of data comparison can now be completed with preliminary analysis in a short time, allowing designers and project managers to focus more on strategic planning and quality control. This application greatly simplifies future quotation evaluations and project review processes.
Kimi AI integrates LINE records to create a smart engineering management assistant.
Finally, Kimi AI is introduced, which is closer to practical application scenarios. After the instructor demonstrates downloading LINE conversation records, the system can automatically generate a complete project management summary, including:
This week's project progress summary (percentage of completion for each sub-project)
Important event records (including time and responsible person)
Material arrival status (name, quantity, manufacturer)
Abnormal situations and handling methods (problem description and solution)
Next week's work plan
To-do list (responsible person and deadline)
This function effectively solves the pain points of fragmented information in project communication and time-consuming organization, making project management more systematic and establishing a standardized record-keeping process for team collaboration.
ESG Trends and the Paris Agreement: Upgrading Sustainability Thinking
Beyond AI tool applications, this course also invited Professor Pei-Min Hsueh to provide an in-depth analysis of ESG development trends and international sustainability standards such as the Paris Agreement. The course content covered corporate carbon management thinking, sustainability responsibility, and future industry challenges, helping participants understand the key transformations facing the construction and decoration industry in the global wave of carbon reduction.
Through professional explanations and case studies, participants recognized that AI is not only an efficiency tool but also a crucial aid in helping companies achieve green transformation.
Shared Prosperity, Shared Benefits, Shared Glory: Joining Hands to Move the Industry Towards the Future
Share Building Materials stated that this "AI-Led Green Transformation Bootcamp" was not merely a technical course, but also an initiative to upgrade industry thinking. Through the introduction of AI tools and the deepening of ESG concepts, it aims to help industry partners find a new position in the dual-axis transformation of digitalization and green development.
In the future, Shenyin Building Materials will continue to promote human-machine collaboration and industry-wide learning platforms to strengthen team competitiveness and work hand in hand with supply chain partners to achieve the vision of "mutual benefit, mutual prosperity, and mutual success," steadily moving forward in a rapidly changing market environment and creating a new and sustainable future for the building and decoration industry.
