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RPA Implementation at SF Supply Chain China

by sol-admin

Headquartered in Shanghai, SF Supply Chain China employs more than 5,000 people to deliver top-tier turnkey supply chain solutions to enterprises in China. It unites world-class supply chain expertise from Deutsche Post DHL Group and extensive domestic infrastructure and solid customer base from SF Holding to positively disrupt the supply chain industry in China.

Motivation for Automation

The operation of a warehouse involves a great deal of repetitive work. This includes data processing, reports consolidation, and filing between the warehouse management system (WMS) and third-party applications. These are time-consuming tasks that can impair the resources needed for more valuable activities. This is why SF Supply Chain has implemented an RPA system for data processing in their warehouses since 2018.


“UiPath fully integrates the advantages of artificial intelligence into RPA, providing customers with an excellent automation experience while allowing enterprises to realize a full digital transformation. UiPath also takes into account the responses from the market, community forums, and partner programs to provide proactive local support.”

Felix Yang, Head of Digital Acceleration Project, SF Supply Chain, Greater China

RPA Implementation

In an RPA pilot project, SF Supply Chain’s center of excellence (CoE) team worked with its digital committee and selected ten important warehouse sites as their testing points. They worked with the operations team to analyze the needs of each site, evaluating the overall results and workability according to the “Innovative Funnel Model.”

In an SF Supply Chain site that handles over 10,000 orders every month, the RPA solution was adopted to manage courier data entry previously taken by two full-time staff.


The bot now handles ten thousand orders per month. The deficient error attribute of RPA technology also avoids manual operation errors, setting the foundation for higher quality customer service. RPA solutions significantly enhance service effectiveness while saving costs. Moreover, the staff is also happy with the deployment, and more resources can be allocated to developing other core business skills.


The CoE team will continue to adopt the same approach to run more pilot projects, gradually increasing the scale of deployment and implementing the RPA model to many other sites across China.