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Malaz (Jiangsu) Elevator Guide Rail Co., Ltd.

Industry: Manufacturing
Area: China
Client: Malaz (Jiangsu) Elevator Guide Co., Ltd
Building an integrated financial sharing center
Using digital technology as a lever to achieve leapfrog development in financial intelligence

41

The headquarters co-ordinated and the total score was linked to create a "business developer" model, and more than 2,000 people participated in RPA training, covering 41 institutions across the country

9000+

More than 300 automated processes have been launched, and more than 10 million tasks have been executed

179 people/month

Save 179 people/month, and gradually build a hyper-automation platform of process mining + RPA + AI

How to help your business succeed

Customer Introduction

Malaz (Jiangsu) Elevator Guide Rail Co., Ltd. is a Sino foreign joint venture jointly invested and established by Oriental Runan Group and Italian Malaz Company in 2013. It is located in Changzhou City, Jiangsu Province, with a production plant area of 265000 square meters and a total production area of 94000 square meters.

It has 24 automatic high-speed elevator guide rail production lines, more than 300 sets of equipment such as high-speed broaching machines, automatic finishing lines, automatic straightening and torsion systems, laser coding, automatic laser and image detection systems, and a production capacity of 350,000 tons of guide rails.

Process details

Business Challenges

There are differences in the implementation and execution of financial policies among companies, with inconsistent accounting standards and accounting subjects. Additionally, due to the inability to horizontally compare the same business between different companies, this seriously affects the quality of financial management and the efficiency of financial processing.

Business pain points

Insufficient control measures in the business unit

Low level of integration of business and finance

Duplicate financial positions, dispersed strength, and high labor costs

Solution

Solution

By introducing digital intelligence technologies such as Art Sai Flag RPA and super automation, and building an integrated financial sharing center, Malaz has successfully achieved closed-loop management of the entire financial process.

Application scenarios

Automated collection data entry

Entering payment data into the financial system and generating vouchers is an essential daily task for Malaz finance, which involves processing 300 to 400 payment data from 4 member units and 11 bank accounts.

RPA can automatically read the configuration and obtain online banking transaction data, filter out all payment information, import it into the OA system and sort the payment categories, then initiate the approval process. After manual review and information supplementation, the approved documents are automatically entered into the financial system by the robot to generate vouchers.

Automated payment instruction input

The cashiers in the Malaz finance department need to prepare payment plans based on the corporate settlement payment application forms (such as due payables) submitted by each subsidiary company on a daily basis.

RPA can automatically read online banking transaction data and generate raw data tables. After obtaining payment application documents, RPA will classify them based on cash acceptance endorsements and the bank they belong to, and generate payment files in the specified format. Next, RPA will enter the payment page to complete the input of payment instructions, then automatically log out of online banking, write the payment instruction number back to the OA system, and finally generate a running report.

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