Frontiers in Business, Economics and Management ISSN: 2766-824X | Vol. 17, No. 1, 2024 156 The Application and Innovation of Digitization in the Field of Procurement Management Chao Zhang a, *, Wenshuang Ma b, Chao Fan c and Linwei Qi d China Auto Information Technology (Tianjin) Co., Ltd., TianJin, China No. 68, Xianfeng East Road, Dongli District, Tianjin, China a zhangchao@catarc.ac.cn; b mawenshuang@catarc.ac.cn; c fanchao@catarc.ac.cn; d qilinwei@catarc.ac.cn Abstract: The rapid development of digital technology is profoundly transforming various aspects of procurement management. Through big data, artificial intelligence, and automation technology, enterprises can more accurately predict demand, improve the scientific selection and management of suppliers, and reduce human decision-making errors. At the same time, digital systems can ensure the legality and efficiency of contract execution in contract and compliance management, reducing legal risks. In inventory management, intelligent optimization solutions help enterprises dynamically adjust inventory levels to avoid inventory backlog or shortage. In addition, the digital process of procurement execution and performance evaluation makes the entire procurement process traceable and transparent, improving the overall efficiency of the supply chain. Digitization not only improves the efficiency and accuracy of procurement management, but also enhances the ability of enterprises to respond to market changes, realizing the intelligence and automation of procurement processes, and becoming a key factor for modern enterprises to enhance competitiveness. Keywords: Purchase, Digitization, Administration. 1. The Impact of Digital Transformation on The Global Economy The digital transformation has had a wide-ranging and far- reaching impact on the global economy. Firstly, the application of digital technology has significantly improved production efficiency. Enterprises have reduced operating costs through automation and intelligence, while optimizing supply chain management and resource allocation, making the global economy more efficient. Secondly, digital transformation has driven a significant amount of innovation, enabling companies to develop new business models through new technologies such as the sharing economy, e-commerce, and remote work. These innovations have greatly changed the way traditional industries operate and have led to increasing competition on a global scale [1]. At the same time, digitization has accelerated the process of globalization. Through digital platforms, enterprises can easily enter international markets, cross-border trade and investment become more convenient, and global supply chains become more transparent and efficient, which makes economic connections between countries closer. However, digital transformation not only brings about an increase in employment opportunities, but also triggers a demand for high skilled talents [2]. This means that a large number of emerging job opportunities have been created in certain fields, but it also poses higher education and skill requirements for the labor market [3]. For traditional industries, digital transformation has brought powerful impacts. Traditional sectors such as manufacturing, retail, and finance have to adapt quickly to this change, otherwise they will face the risk of being eliminated. Especially for small and medium-sized enterprises, if they cannot smoothly achieve digital transformation, they may lose their market competitiveness [4]. At the same time, digital transformation has exacerbated global economic inequality, especially in underdeveloped countries and regions where the digital divide makes it difficult for them to enjoy the economic dividends brought by digitization, further widening the global wealth gap [5]. In addition, digital technology not only drives economic development, but also contributes to global sustainable development. The application of intelligent technology in energy management, transportation systems, and other areas not only improves resource utilization efficiency, but also reduces carbon emissions, providing strong support for addressing climate change. However, this transformation process also poses new challenges to policies and regulations in countries around the world. How to promote innovation while ensuring fairness and sustainability remains an important issue that needs to be addressed in the future [6]. In summary, digital transformation not only accelerates innovation and development in the global economy, but also brings new issues such as employment, competition, and social inequality, which have a profound impact on the future economic structure and global development. 2. The Integration of Digital Technology and Intelligent Solutions The integration of digital technology and intelligent solutions is driving profound changes in the global economy. With the rapid development of technologies such as big data, artificial intelligence, and the Internet of Things, various industries are utilizing these emerging technologies to optimize operational models, improve efficiency, and enhance competitiveness. Through digital technology, enterprises can obtain and analyze large amounts of data in real time, making more accurate decisions. For example, with the help of intelligent technology, the supply chain management system can dynamically monitor the operation status of each link, adjust strategies in a timely manner, avoid resource waste, and ensure the efficient operation of the entire 157 process. This integration not only changes the traditional production mode, but also gives birth to new business models and service forms. For example, in the manufacturing industry, intelligent manufacturing systems integrate the Internet of Things and artificial intelligence to create highly automated production lines, which not only improve production speed but also reduce costs. In the financial field, intelligent solutions are applied to multiple aspects such as risk assessment, automated trading, and customer service, greatly improving the efficiency and security of financial services. Especially through the popularization of financial technology, the convenience of the global payment system has been greatly improved, promoting the further development of e- commerce and global trade [7]. In addition, the combination of digital technology and intelligence is also reflected in the improvement of consumer experience. Through intelligent recommendation algorithms, personalized services, and virtual reality technologies, enterprises can better meet the needs of consumers, thereby improving customer satisfaction and promoting consumption. For example, the retail industry utilizes big data and artificial intelligence to provide personalized shopping recommendations to consumers, enabling them to find products that meet their needs more accurately. This not only improves the user experience, but also increases sales and customer loyalty. However, the integration of digital technology and intelligence has also brought challenges. With the widespread application of these technologies, data privacy and security issues are becoming increasingly prominent. Enterprises and governments need to strengthen their supervision and protection of data to ensure the security and compliance of technology applications. At the same time, due to the popularization of intelligent solutions, the employment space for low skilled labor is gradually shrinking. Society needs to make adaptive adjustments to the labor market and provide more opportunities for skills training and reeducation. Overall, the deep integration of digital technology and intelligent solutions is driving the development and innovation of the global economy at an astonishing speed. This not only brings efficiency improvement and cost reduction to enterprises, but also provides consumers with a more personalized and convenient service experience. However, this trend is accompanied by new risks and challenges, and how to ensure sustainable development and fairness of society while advancing technology will become an important issue in the future. 3. The Characteristics and Limitations of Traditional Procurement Management Models The traditional procurement management model is characterized by centralization, complex processes, and lagging information transmission. Procurement usually relies on offline operations, and supplier selection is often based on long-term cooperative relationships, lacking the ability to flexibly respond to the market. In this mode, the procurement process is generally a top-down decision-making chain, involving multiple approval stages and low efficiency. Meanwhile, the demand forecasting for procurement relies on historical data and experience, which cannot reflect market fluctuations in real time, resulting in inaccurate procurement plans [8]. Due to insufficient information exchange between the procurement management department and other links in the supply chain, the overall response speed of the supply chain often lags behind. In addition, traditional procurement models also have limitations in supplier management. The communication and information exchange between the purchaser and the supplier rely on manual and paper documents, which are inefficient and prone to errors. The decision-making process lacks data support, making it difficult for procurement personnel to quickly obtain the latest quotes or supply and demand information in the market, which increases procurement costs and uncertainty. At the same time, there is a lot of manual intervention in the procurement process, resulting in low transparency and controllability, which can easily lead to procurement risks. Therefore, the traditional procurement management model has shown obvious limitations in responding to rapidly changing market demands, improving procurement efficiency, and reducing costs, especially in today's increasingly globalized competition and supply chain complexity. The traditional model can no longer meet the needs of modern enterprises for efficient, transparent, and flexible procurement. 4. The Specific Application of Digitization in Procurement Management 4.1. Demand Forecasting Through the application of big data analysis and artificial intelligence, digital technology has significantly improved the accuracy of procurement demand forecasting. Traditional demand forecasting mainly relies on historical data and experience, which often makes it difficult to cope with the dynamic changes in the market. And digital systems can integrate multi-source data from both internal and external sources of the enterprise, including sales data, market trends, seasonal fluctuations, etc., for real-time analysis and prediction. This not only helps companies to make timely purchases during peak demand periods, but also effectively avoids inventory backlog or shortages caused by inaccurate forecasts. Through machine learning algorithms, the system can continuously adjust the prediction model to improve the accuracy of predictions. In this way, enterprises can adjust their procurement plans more flexibly in the rapidly changing market environment, thereby optimizing the efficiency of the supply chain and reducing unnecessary procurement expenses. 4.2. Supplier Selection and Management In terms of supplier selection and management, digital systems can make more scientific decisions through data- driven approaches. Under the traditional procurement model, the selection of suppliers often relies on long-term cooperative relationships and subjective judgments, making it difficult to ensure the best cost-effectiveness. The digitalization system can evaluate the performance of suppliers in real time by establishing supplier files, comprehensively considering multiple factors such as supplier quotations, delivery capabilities, quality control, and performance [9]. In addition, intelligent systems can automatically identify changes in the supplier market and promptly push potential supply risks or new high-quality suppliers to enterprises. Through intelligent management, enterprises can effectively shorten the selection process, reduce procurement costs, and improve the transparency and 158 reliability of the supply chain, thereby achieving more effective supplier management. 4.3. Contract and Compliance Management Contract management in traditional procurement usually involves tedious manual operations, which can easily lead to issues such as missed signatures and breaches of contract. The digitization system can significantly improve the efficiency and accuracy of contract management by automating the entire process of contract management. The system can automatically generate contract templates that comply with the company's procurement policies during the drafting phase, and review, sign, and store contracts through a digital platform. In addition, the digital system also has a compliance check function, automatically reviewing the legality and compliance of contract terms, ensuring that contracts comply with legal requirements and internal regulations of the enterprise, and avoiding legal risks caused by contract loopholes or non compliant operations. Enterprises can also achieve real-time monitoring of contract execution progress through intelligent systems, effectively reducing delays and errors in contract management and improving overall procurement compliance [10]. 4.4. Inventory Optimization The application of digital technology in inventory management can significantly improve the efficiency and accuracy of inventory optimization. Traditional inventory management often relies on fixed inventory levels and manual monitoring, making it difficult to cope with rapid market changes. The digital system can dynamically adjust inventory levels through real-time data analysis, ensuring that enterprises have sufficient flexibility in responding to changes in demand. Through comprehensive analysis of inventory flow, market demand trends, and supplier delivery cycles, the system can automatically generate the best procurement and inventory replenishment plan to avoid inventory surplus or shortage. In addition, digital systems can also use predictive algorithms to reduce the risk of inventory backlog, improve inventory turnover, reduce inventory holding costs, and enable enterprises to effectively save inventory management costs while maintaining stable supply chain operations. 4.5. Procurement Execution and Performance Evaluation The application of digital technology greatly simplifies the procurement execution process, improves the transparency and controllability of the procurement process. The system can automatically generate purchase orders and quickly process order approval, signing, and execution through process automation tools, reducing time delays and errors caused by human operations. Through full process digital management, enterprises can track the status of purchase orders in real time, including order submission, shipment, transportation, acceptance and other processes, to ensure that procurement tasks are completed on time. At the same time, digital systems can also conduct comprehensive performance evaluations of suppliers' delivery performance, procurement cost control, time efficiency, and other aspects through data analysis, helping enterprises optimize their procurement strategies. Through continuous optimization and adjustment, enterprises can effectively improve the accuracy of procurement execution and the overall operational efficiency of the supply chain. 5. Conclusion The rise and application of digital technology are leading the innovation in the field of procurement management, from demand forecasting to supplier management, to contract and compliance management, inventory optimization, and even procurement execution and performance evaluation. Every link benefit from the advancement of big data, artificial intelligence, and automation technology. Digitization not only improves the efficiency and accuracy of procurement management, reduces human errors, but also endows enterprises with stronger market adaptability, enabling them to flexibly adjust strategies in the rapidly changing business environment. Especially in contract management and inventory control, digitization, through automation and intelligent means, not only avoids many drawbacks of traditional models, but also significantly reduces operating costs and improves the overall efficiency of the supply chain. However, with the deepening of the application of digitalization in procurement management, data privacy and security issues have become increasingly prominent, and the impact on the labor market cannot be ignored. This requires enterprises to not only enjoy the technological dividends, but also pay attention to technological ethics and social responsibility, ensuring the sustainability and fairness of technological development. Therefore, in the future, the practice of digitization in procurement management should pay more attention to balancing technological innovation and risk management, continuously exploring more efficient and intelligent procurement management models, and injecting a continuous stream of power into the long-term development of enterprises. References [1] Chen Jianjun, Li Peijun, Zhou Yingying (2020). The application and development trend of digital supply chain management Logistics Technology, 39 (1), 56-59 [2] Wu Jianzhong, Li Ning (2019). Challenges and Countermeasures of Supply Chain Management in the Context of Big Data Enterprise Management, (11), 102-104 [3] Zhang Xiaohua, Wang Yongmei (2021). Research on the Optimization Path of Enterprise Procurement Management under Digital Procurement Mode Modernization of Management, 41 (5), 80-82 [4] Yang Xiaoting, Liu Xudong (2020). 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