invoice_processing · logistics · workflow
Uber and Accenture build a global RPA program on UiPath, saving an estimated $10 million per year
Uber's rapid global growth created rising operational costs and staffing pressure, with geographically fragmented processes—such as different invoice procedures across the US, UK, and China—making it hard to maintain regulatory compliance and give senior management a unified view of operations.
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 · Stakeholder automation intake
Business stakeholders are in constant communication with developers, making changes on the fly.
Tools used
UiPathOCRchatbotsmachine learning
Outcome
After three years, Uber has more than 100 automations in production saving an estimated $10 million per year. Uber Freight's invoice automation rate grew from less than 20% to over 70% of portal invoices monthly, and Uber avoided the potential loss of its London freight license, which would have cost 3% to 4% of total revenue.
Results
Time savedsix weeks
Volumemore than 100
Cost replaced$10 million per year
Grounding & classification
Source type: vendor customer story
38 fields verified against source quotes.
chatbotdocument aiocrinvoicemetric backednamed customerproduction runtime claimedtools describedworkflow describedlogisticssoftwareautomation ratecost reductionemployee productivityerror reductionthroughput increasevendor customer storyback office opscompliance monitoringfinance opsinvoice processingautonomous resolutiondocument to recordmonitor detect alert