logistics_ops · logistics · workflow
SF Supply Chain uses UiPath RPA to save 74,000 effective working hours in warehouse operations
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.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Pilot site selection
The CoE team worked with the digital committee and selected ten important warehouse sites as RPA testing points.
Tools used
UiPathRPAWMS
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.
Results
Time saved74,000
Volumeover 10,000
Running since2018
Grounding & classification
Source type: vendor customer story
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agentic workflowform submissionmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedlogisticscost reductionemployee productivityerror reductiontime savedvendor customer storyback office opsdata entry opslogistics opsdata sync enrichmentdocument to record