Logistics ops · Production

SF Supply Chain uses UiPath RPA to save 74,000 effective working hours in warehouse operations

The problem

SF Supply Chain's warehouse operations depended on manual, repetitive data processing — including reports consolidation and filing between its warehouse management system and third-party applications — consuming resources that could otherwise be directed to higher-value activities, while customer requirements grew increasingly diverse and complex.

Workflow diagram · grounded in source
1
Pilot site selection
trigger
“SF Supply Chain's center of excellence (CoE) team worked with the company's digital committee, and selected ten important warehouse sites as their testing points”
2
Site needs analysis
human_review
“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."”
3
RPA robot data entry
ai_action
“the RPA solution was adopted to manage courier data entry, which was previously handled by two full-time staff. The RPA robots handle highly repetitive and time-consuming tasks.”
4
WMS and third-party data sync
integration
“data processing, reports consolidation and filing between the warehouse management system (WMS) and third-party applications”
5
Scale to additional sites
output
“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.”
Reported outcome

RPA has saved SF Supply Chain 74,000 effective working hours in aggregate, replaced two full-time staff handling courier data entry at a site processing over 10,000 orders per month, reduced manual errors, and freed staff to develop other core business skills.

Reported metrics
Effective working hours saved (aggregate)74,000
Orders per month handled by robot at pilot siteover 10,000
full-time staff replaced by RPA for data entrytwo
Service effectivenesssignificantly enhance service effectiveness while saving costs
Show all 5 reported metrics
effective working hours saved (aggregate)74,000
orders per month handled by robot at pilot siteover 10,000
full-time staff replaced by RPA for data entrytwo
service effectivenesssignificantly enhance service effectiveness while saving costs
staff satisfaction with deploymentstaff are also happy with the deployment
Reported stack
UiPathRPAWMS
Source
https://www.uipath.com/resources/automation-case-studies/rpa-improves-warehouse-efficiency-at-sf-supply-chain
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

RPA has saved SF Supply Chain 74,000 effective working hours in aggregate, replaced two full-time staff handling courier data entry at a site processing over 10,000 orders per month, reduced manual errors, and freed s…

What tools did this team use?

UiPath, RPA, WMS.

What results were reported?

Effective working hours saved (aggregate): 74,000; Orders per month handled by robot at pilot site: over 10,000; full-time staff replaced by RPA for data entry: two; Service effectiveness: significantly enhance service effectiveness while saving costs (source-reported, not independently verified).

How is this logistics ops AI workflow structured?

Pilot site selection → Site needs analysis → RPA robot data entry → WMS and third-party data sync → Scale to additional sites.

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