99.93%
Running success rate maintained at 99.93%, exceeding the automation
Bill of Materials (BOM) is a crucial data file in manufacturing industry, which was previously done manually, now people can automate BOM creation and updating using RPA, successfully avoiding costly human errors and automating the BOM process, which greatly improves efficiency, saves labor and improves BOM accuracy.
Manufacturers need to review and centrally manage supplier information, and RPA can automatically capture data from pending process forms, summarize them, complete process approvals, and automatically enter supplier master data, record the results, and send them to the data specialist, a process that takes only 10 minutes and saves about 2,640 minutes per month.
Daily communication between suppliers, customers, and internal staff requires a lot of manual work, and RPA robots can automate a variety of inquiries, including the status of goods shipped, freeing up customer service staff from a stream of tedious tasks to focus on serving suppliers and customers.
Manufacturing companies typically involve a large amount of internal and external movement of goods, and RPA can be integrated with transportation management systems to efficiently monitor the movement of products.RPA robots help manufacturers track inventory and delivery schedules in real time, ensuring tasks are completed on time and human error is reduced.
The inventory control process is critical and is at the heart of supply chain management. Manufacturers need to monitor inventory levels in real time to ensure that customer demand is met, and RPA helps automate a variety of functions, including current inventory monitoring, generation of inventory level notifications, and reordering of products when levels fall below a set threshold.
RPA can categorize and summarize the automatic pending invoice data for processing, automatically log in and prepare invoices according to different purchase order types with reference to the corresponding rules. After adopting RPA, it can save 2-3 laborers per month, and the efficiency has been greatly improved.
Running success rate maintained at 99.93%, exceeding the automation
Successfully launched 150 processes within 5 months, running for a total of 20,070 times.
Significant labor cost savings, up to 6750+ days/year!
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