Rebirth of the Urban Vengeance Goddess

After the smart supply chain was firmly established, Lin Qian, General Manager Chen and Chairman Wang deeply realized that continuous product innovation is the core element to maintain the competitiveness of the enterprise. They are determined to build a new intelligent R&D system based on the solid foundation of intelligent manufacturing, aiming to stimulate the spark of product innovation and lead the enterprise to a more brilliant tomorrow.

One day, Lin Qian convened the leaders of the R&D team, technical team, data analysis team and intelligent decision-making team to participate in a seminar focusing on intelligent R&D. She firmly believed that this meeting would provide a valuable opportunity to explore new ways of intelligent R&D.

At the beginning of the meeting, Lin Qian first elaborated on her point of view: "Dear colleagues, we have made remarkable achievements in intelligent manufacturing and intelligent supply chain. However, while pursuing efficiency and synergy, we cannot ignore the power of product innovation. Therefore, I propose that we take advantage of the advantages of intelligent manufacturing and build an intelligent R&D system to ignite the spark of product innovation and drive the company forward."

Dr. Li, the leader of the R&D team, responded positively: "Smart R&D is undoubtedly the key to improving our product innovation capabilities. By integrating IoT, big data and artificial intelligence technologies, we can track product R&D progress in real time, accurately predict product performance and market demand, and thus accelerate the pace of product innovation. This will open up more market opportunities for us and enhance our competitive advantage."

Mr. Zhang from the technical team added: “Smart R&D can also promote cross-departmental collaboration and resource sharing. By building a unified R&D management platform, we can integrate the R&D resources and capabilities of various departments, jointly overcome technical difficulties, and thus improve R&D efficiency and success rate.”

Mr. Chen agreed with Dr. Li and Mr. Zhang’s views and asked: “Intelligent R&D is indeed the key to improving our product innovation capabilities. So, how should we implement it specifically?”

Lin Qian has already made up her mind: "I think we can start from the following aspects. First, establish an intelligent R&D management system to integrate functions such as product development, performance testing and market demand forecasting to achieve intelligent and automated R&D. Second, use big data and artificial intelligence technologies to deeply mine and analyze R&D data to discover potential innovation points and optimization space. At the same time, strengthen cross-departmental collaboration and resource sharing to improve R&D efficiency and success rate."

Dr. Wang from the data analysis team further proposed specific suggestions: "In the process of intelligent R&D, we also need to ensure the quality and accuracy of the data. To this end, we can formulate strict data management systems and standards to ensure the authenticity and reliability of R&D data. At the same time, we can use data analysis and mining technology to provide scientific basis and support for product R&D."

Chairman Wang spoke highly of Lin Qian and Dr. Wang’s proposal: “Intelligent R&D is indeed the key to improving our corporate competitiveness and product innovation capabilities. We must fully utilize the advantages of intelligent manufacturing to build a unique intelligent R&D system. At the same time, we must also pay attention to the quality and accuracy of data to ensure the steady development of intelligent R&D.”

Afterwards, they began to discuss in depth the specific implementation plans and steps for intelligent R&D. After heated discussions and planning, they finally determined key measures such as establishing an intelligent R&D management system, using big data and artificial intelligence technologies to optimize product R&D, strengthening cross-departmental collaboration, and ensuring data quality and accuracy.

In the following days, they went all out to promote the construction of the intelligent R&D system. Through a series of measures, such as establishing an intelligent R&D management system, integrating various R&D functions, using advanced technologies for optimization, and strengthening cross-departmental cooperation, they successfully built an efficient and collaborative intelligent R&D system.

At a product innovation achievement exhibition, Lin Qian proudly introduced to the participants the remarkable achievements of the intelligent R&D system: "With the help of the intelligent R&D system, we have successfully developed a number of new products with strong market competitiveness. These new products have reached the industry-leading level in performance and met the diverse needs of customers. At the same time, we have also greatly shortened the product R&D cycle and reduced R&D costs, bringing more economic benefits and competitive advantages to the company."

Mr. Chen also added: "In addition, the construction of the intelligent R&D system has also cultivated a high-quality R&D team for us. They not only have solid professional knowledge and skills, but are also good at using big data and artificial intelligence technologies for product development and optimization. This will provide strong support and guarantee for our future product innovation."

Chairman Wang concluded: "Intelligent R&D is indeed a key measure to enhance our corporate competitiveness and product innovation capabilities. In the future, we will continue to strengthen the construction and optimization of the intelligent R&D system to make it the core competitiveness and market advantage of our company. At the same time, we will also focus on the training and development of the R&D team and provide them with more learning and growth opportunities. I firmly believe that with everyone's joint efforts, we will be able to ignite the spark of product innovation and create a more brilliant future for the company."