Have you envisaged a financial work scenario for 2020? How will the CFO's strategic decisions be mined in the internal data? How can financial supervisor report and control funds?

"Our leaders are in urgent need of this competitor analysis, but the cycle of IT development is a bit long. Why don't you export a fixed-format excel/text file to me every day/week/month?"

Logistics Department

Purchasing Department

Financial sharing center needs to spend a lot of manpower to deal with bank reconciliation, payment confirmation, value added tax bookkeeping check, value added tax invoice inspection and other financial and tax foundation work. With the advent of the era of global artificial intelligence, RPA can be used to replace the high-frequency, repetitive, long and low value-added manual operation, and help improve the tax and financial efficiency of Shared centers. It has achieved obvious results in reducing labor and time costs and improving work quality. Financial sharing services, through an intelligent platform based on man-machine collaboration, will change the way of random dispatching, the new platform will build an artificial intelligence data analysis and rule engine to form an intelligent sharing and distribution mechanism that will automatically distribute tasks to financial robots and financial sharers.

Human resource management personnel recruitment can be regularly obtained through the RPA in the major recruitment websites, and the requirements of screening. After the recruit joined the company, he/she could configure his/her email, financial system, OA(office automation) and other system accounts. As long as the HR specialist gave IT a command, he/she could follow up the operation and give feedback. There are many scenarios for the application of RPA in human resources. In addition to the application in the recruitment process, RPA also has a large application scenario in the training arrangement and salary payment process.

In the field of information technology, RPA can realize software installation, FTP download, upload, mail processing, folder monitoring, file processing and server monitoring and process automation for batch task processing.

The sales prediction situation is complex and changeable, which is not easy to be accurate and timely. Moreover, when the sales prediction data changes frequently, the purchasing cycle and inventory of long-cycle materials and finished products will be directly affected, leading to the fire-fighting work of many data adjustments in the following departments. RPA can automatically relate the process. According to the approval of the process, the robot can automatically process the data of sales plan, procurement plan, logistics arrangement, inventory and capital turnover that need to be adjusted in the follow-up system.