accounts_payable · ecommerce · workflow

UiPath Document Understanding automates invoice processing for major U.S. retailer, cutting per-invoice handling from 3-5 minutes to 30 seconds

A large U.S. wholesale retailer's AP team received 200–500 invoices per day from gasoline and freight vendors, peaking at 700, and each invoice required 3–5 minutes of manual work: opening emails, looking up supplier IDs, extracting data, and keying into the accounting system.

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 · Bot reads invoice emails
A bot reads emails containing invoices and flags those with non-invoice attachments for forwarding to an AP staff member for manual evaluation.
Tools used
UiPath Document UnderstandingUiPath AI CenterUiPath Validation StationOCRRPA
Outcome

After deploying UiPath Document Understanding with OCR and ML, 93% of invoices now process straight through to the reconciliation queue at a 95% confidence score, and per-invoice processing time dropped from up to five minutes to about 30 seconds. Accelirate estimates at least 20% of AP department staff can be redirected to higher-value work.

Results
Time savedthree to five minutes per invoice
Volumeabout 30 seconds
Source

https://www.uipath.com/resources/automation-case-studies/major-retailer-rpa

How we source this →

Grounding & classification
Source type: vendor customer story
35 fields verified against source quotes.
data extractiondocument aiidpocremailinvoicehuman review describedmetric backednamed customerproduction runtime claimedtools describedvendor confirmedworkflow describedretailaccuracy improvementautomation ratecycle time reductionemployee productivityvendor customer storyaccounts payableinvoice processingdocument to recordextract classify routehuman review queue