At present, the employees of Data Intelligence are active in many industries, including banking, insurance, manufacturing, retail, e-commerce, medical care, logistics, government, and public institutions, and are stationed in finance, operations, IT services, procurement, customer service, etc. Departments provide good solutions and solutions for the optimization of organizational business processes.
Purchasing is an indispensable part of the daily operation of an enterprise, and it is related to the cost, quality and supply capacity of the enterprise. However, in the procurement process, there are often various wastes and unnecessary expenses, such as repeated review, approval, acceptance and other links in the procurement process, wasting time and human resources, and there is no clear procurement plan and demand in the procurement process, resulting in Problems such as over-purchase and unsalable, waste of funds and storage space, lack of strict supplier management and evaluation in the procurement process, lead to unstable supplier quality, delayed delivery time and other issues, affecting production and sales. These wastes and costs can negatively impact a business' profitability and competitiveness.
The digital intelligence virtual employees launched by UFIDA in the procurement direction can gain insight into the benefits generated by the automation and intelligence of the enterprise, and perform well in procurement sourcing, supplier warehousing recommendation and management, implementation of risk scanning, bid qualification review, etc. good.
At the level of procurement sourcing: Based on historical demand plans, procurement plans and plan execution data, the procurement demand allocation robot can use big data technology and algorithm models to analyze historical demand laws, establish forecast models, predict future procurement needs, and help enterprises formulate reasonable Purchase plans, automatically generate purchase demand orders, and distribute the purchase plans to the purchasers designated by the system.
After the purchase demand is established, the procurement inquiry robot can automatically read the email, filter, identify, and verify the content of the email through established rules and deep learning; after the verification is completed, it will cooperate with the price comparison robot to perform quotation and intelligent price comparison , which not only effectively broadens the breadth of sourcing, liberates procurement staff from tedious routine work, but also greatly improves quotation efficiency;
At the level of supplier management: supported by data modeling technology and algorithm technology, UFIDA quantifies supplier evaluation indicators to form an automatic enterprise evaluation index system. Supplier access robots select data from procurement systems and EMP systems to automatically Calculate the supplier's dynamic performance score, and combine it with big data analysis to build a supplier portrait.
Supplier portraits can be constructed according to a certain category, or for a certain supplier. Based on the supplier performance evaluation system, a two-dimensional model of performance and strategic potential can be constructed through data to implement differentiated supplier management. In addition, SWI employees can predict and report supplier risk changes in advance based on system analysis.
At present, the compliance management of digital intelligence employees can cover procurement applications, procurement plans, procurement methods, evaluation method committee formation, bid opening and evaluation, bid determination, purchase price, contract signing, contract execution, procurement acceptance, intellectual property rights, VMI management, 15 procurement scenarios such as supplier management and post authority management.
According to a report released by IDC, 45% of repetitive work tasks in 2024 will be automated or enhanced through the use of "digital intelligent employees" powered by artificial intelligence, robots and RPA.
In the future, digital intelligence employees may take on some or all of the functions of the hyperautomation platform, and use digital intelligence to "subtract" costs and "multiply" efficiency for enterprises.