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Client case study

Automating Vendor Invoice Processing

Xalta’s UiPath vendor invoice workflow reports 80% less processing time, approximately 70% less manual effort and approximately 99% data accuracy while handling more than 600 invoices per month. Classification, extraction and Action Center review prepare validated records for downstream processing.

Logistics & TransportationAccounts Payable

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Reported Vendor Invoice Results

Client-case results: 80% less processing time, ~70% less effort, ~99% data accuracy and 600+ invoices per month.

80%

Processing-Time Reduction

Reported reduction in processing time per invoice.

~70%

Manual-Effort Reduction

Reported reduction in invoice-handling effort.

~99%

Reported Data Accuracy

Supported by extraction checks and business validation.

600+

Invoices Processed per Month

Reported operational capacity in the case.

Client & project context

Client and Project Overview

The client is a global enterprise with document-heavy finance workflows across business units. The AP team received varied vendor invoice formats and needed a consistent set of fields for downstream processing.

The project focused on invoice classification, field extraction, human validation and standard template output. Validated records were prepared in the agreed format for downstream processing.

The challenge

Operational Challenges

The finance team needed reliable invoice information across different layouts without increasing the amount of manual reading and template preparation.

Varied Vendor Layouts

Different invoice formats required repeated interpretation and data handling.

Manual Extraction Errors

Repeated entry increased the risk of inconsistent or incorrect fields.

Slow Output Preparation

Invoice records were delayed while users prepared the information needed by downstream systems.

Growing Processing Demand

Higher document volumes created more work for the same finance team.

The solution

Solution Overview

A UiPath workflow separates classification, extraction and business review before creating the agreed output records.

A team reviewing financial paperwork beside a laptop

Vendor invoices are organised by supported template type. Document Understanding extracts single-account layouts, while custom scripts support multi-account formats. Discrepancies and uncertain fields are routed to Action Center.

  • Vendor Invoice Classification

    Organise incoming documents using the supported vendor and template rules.

  • Layout-Appropriate Extraction

    Apply Document Understanding or the relevant custom extraction logic.

  • Human Validation

    Send low-confidence fields and discrepancies to a reviewer before output preparation.

  • Standard Invoice Output

    Populate the agreed template using field mappings and service ID rules.

Human Review and Operational Control

Business users validate and correct uncertain information in UiPath Action Center. Only the reviewed or accepted data is used to populate the standard output record.

How it works

Workflow and System Integration

The stages below show the implemented process from source information to output or review.

  1. 01

    Receive Vendor Invoices

    Read documents from the vendor-specific input folders.

    Vendor input folders
  2. 02

    Classify the Layout

    Identify the supported vendor or template type for extraction.

    UiPath classification workflow
  3. 03

    Extract Invoice Fields

    Use Document Understanding or custom logic for the relevant layout.

    Document Understanding + scripts
  4. 04

    Review Uncertain Data

    Route low-confidence values and discrepancies to a business user.

    UiPath Action Center
  5. 05

    Populate the Standard Record

    Apply field mappings and service ID rules to the validated data.

    Invoice output template
  6. 06

    Save Downstream-Ready Output

    Write the prepared template to the configured output location.

    Output folders

Implementation

Implementation and Delivery

The build combined vendor-specific classification, different extraction methods and a shared validation and output process.

01

Map Vendor Templates

Define the supported layouts and the standard fields required for each invoice record.

02

Configure Extraction and Review

Use Document Understanding for the relevant templates, custom scripts for multi-account layouts and Action Center for review.

03

Standardise the Output

Apply field mappings and service ID rules before saving the prepared invoice template.

Extraction Confidence

Uncertain fields cannot simply be treated as accepted values. The review path allows the finance team to validate or correct them before output creation.

Platforms, Technology and Architecture

Each component has a defined role in processing, validation, integration or review.

  • Orchestration

    UiPath workflows

    Coordinates intake, classification and the processing sequence.

  • Extraction

    UiPath Document Understanding

    Extracts fields from supported single-account invoice templates.

  • Additional layouts

    Custom scripts

    Supports the multi-account template handling described in the case.

  • Business review

    UiPath Action Center

    Presents uncertain values and discrepancies for validation.

  • Output

    Mapped invoice templates

    Produces consistent records for the configured downstream process.

Results & business impact

Invoice Processing Results and Business Impact

The documented workflow reports an 80% reduction in processing time per invoice and approximately 70% less manual effort. Validation checkpoints support approximately 99% data accuracy, with more than 600 invoices handled each month without added processing resources.

Workflow measureBeforeAfterReported result
Invoice processing timeUsers read varied layouts and prepared the standard fields manually.Classification, extraction and template population automate the supported preparation steps.80%Processing-Time Reduction
Manual handlingStaff performed repeated extraction, checking and output preparation.Review is focused on uncertain fields while supported data moves into the standard template.~70%Manual-Effort Reduction
Data qualityManual entry created errors and inconsistent information.Validation checkpoints and reviewer correction improve the prepared records.~99%Reported Data Accuracy
Processing capacityHigher volumes increased the amount of manual invoice preparation.The workflow handles the reported monthly volume without added resources.600+Invoices Processed per Month

More Consistent Records

Standard fields and service ID rules reduce variation in the output passed downstream.

Review Focused on Uncertainty

Finance users spend less time rekeying clear records and more time correcting the fields that need judgement.

Related offerings

Explore the solution, supporting service and industry context for this workflow.

Discuss a Similar Requirement

Share the invoice layouts, required output fields and review criteria your AP team uses. We can identify the extraction and validation steps worth automating.

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