By Song Pengfei
【Summary】: Big data and machine learning technologies are disruptive and game-changing, and are considered to be an important driving force behind the new round of technological revolution and industrial transformation. They are expected to fundamentally change the way people produce and live, and drive innovation and development in various industries.
In recent years, the adoption of large models and rapid iterative development has led to a new wave of rapid development in artificial intelligence, with intelligent procurement systems being an indispensable field for the application of large models. Industry data shows that the annual growth rate of the global procurement management software market is expected to exceed 10% by 2025, and the market will continue to grow. This growth is primarily due to the application of cutting-edge technologies such as big data, cloud computing and machine learning, which enable the automation and intelligentization of procurement processes, thereby significantly improving procurement efficiency and quality. However, during this transformation process, the industry also faces many challenges and difficulties.
Complex and lengthy processes with high potential for human error
Traditional enterprise procurement management often relied on cumbersome manual operations and complex approval processes. Research shows that on average, an enterprise's procurement cycle can last from several weeks to several months, with errors and delays caused by human factors accounting for more than 30%. This not only reduces procurement efficiency but also increases operating costs. At the same time, the information flow in traditional procurement management is often not transparent enough, making it difficult to obtain important data such as supplier information and procurement progress in real time, affecting the accuracy of risk control and decision-making.
In addition, the rapid changes in market demand and the instability of supply chains also pose significant challenges to enterprise procurement. To solve this problem, Mr. Huang Jianxin, deputy director of the procurement department of Guangzhou Liby Enterprise Group Co., Ltd., independently developed a “procurement process optimization system based on machine learning”, a “procurement information monitoring platform based on big data” and a “comprehensive evaluation system for raw material procurement based on cloud computing”. Due to their excellent performance and significant effect, these systems have quickly had a great impact on the industry and set standards.
Technological breakthroughs, an innovative leader in procurement management
“The main reason why I developed intelligent procurement systems was work efficiency. I have worked in the procurement department of Guangzhou Liby Group for over 10 years, and in my many years of work, I have found many problems of lack of efficiency caused by processes and systems. So I thought about relying on big data technology to make some optimizations and improvements,” Huang Jianxin told the reporter. When mentioning the specific effects of these three systems and their improvements, Huang Jianxin also elaborated, “The 'procurement process optimization system based on machine learning' uses advanced algorithms and machine learning technologies to achieve the automation and intelligentization of the procurement process. Through key steps such as data collection and analysis, demand forecasting, supplier evaluation, automated procurement decisions, and continuous optimization, this system can provide enterprises with comprehensive procurement management support. In the past, the process of purchasing was very cumbersome and required filling out many paper documents. We have made many improvements in this regard.”
(Image: Huang Jianxin)
For the collection of orders and supplier information, after numerous data experiments, he developed the “Big Data Procurement Information Monitoring Platform”. This platform integrates huge data sources to collect, integrate, analyze and display procurement information in real time. Companies can clearly understand every link in the procurement process, including supplier information, procurement prices, quantities and timing. At the same time, this platform can predict and warn the procurement process based on historical and real-time data, allowing companies to identify potential risks and problems in time. “According to statistics, for companies using this platform, the accuracy of supplier selection has increased by 40% and procurement risks have been reduced by 30%, which is still very significant,” said Huang Jianxin.
In addition, for procurement selection and evaluation, he developed a “comprehensive procurement raw material evaluation system based on cloud computing” to help enterprises make selections. This system uses cloud computing technology to centrally store and manage information on various procurement raw materials. Through thorough analysis and evaluation of this information, the system can provide enterprises with more scientific and reasonable suggestions for selecting procurement raw materials. “According to user feedback, after implementing this system, enterprises have reduced the cost of procurement raw materials by 15% and improved the quality of procurement,” said Huang Jianxin.
Never complacent, always striving
This outstanding representative of the industry is aware of the rapid pace of technological development and market changes, so he always maintains a humble and entrepreneurial attitude. Although he and his team have achieved remarkable results and brought about revolutionary changes in enterprise procurement management, Huang Jianxin dares not become complacent. “Only through continuous improvement and innovation can we maintain our leading position and meet the ever-changing needs of the market and enterprises,” said Huang Jianxin. Therefore, he has already begun to plan the further improvements of the system, with the aim of further improving system performance, optimizing the user experience, and exploring more innovative functions and application scenarios.
“As for the further improvement plan, I think we should start with three points: First, we will further optimize the system's algorithms and models to improve the accuracy and efficiency of data analysis and forecasting. This will help enterprises more accurately grasp the market dynamics and supplier situation and formulate more reasonable procurement strategies and plans. Second, we should pay attention to the continuous optimization of user experience. By collecting user feedback and continuously improving the interface design, operation processes and other aspects, we strive to make the system more user-friendly and convenient and improve user satisfaction. In addition, we will actively explore more innovative functions and application scenarios. For example, introducing artificial intelligence and Internet of Things technology into the system to achieve more intelligent procurement management and supply chain management. This will help enterprises further improve procurement efficiency, reduce costs and optimize the performance of the entire supply chain,” Huang Jianxin believes.
On the road to intelligent procurement management, Huang Jianxin and his team have demonstrated outstanding leadership qualities and innovative spirit. They have not only successfully created a groundbreaking procurement management system, but also brought significant economic benefits and competitive advantages to enterprises. However, as Huang Jianxin has shown, true success is not the end point, but a process of continuous pursuit of excellence and innovation. In the future, Huang Jianxin and his team will continue to maintain a humble and entrepreneurial attitude, constantly seeking technological breakthroughs and innovative applications.
