Case Studies

Case Studies

AI Powered Invoice Reconcilation

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Case Study
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Problem Statement

Complex bundled products and frequently changing pricing made invoice accuracy difficult to maintain. With around 8,000 invoices issued each month, approximately 30% were over- or under-invoiced, often requiring customer complaints to identify discrepancies. Correcting these errors involved manual investigation, cancellation, and re-pricing.

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Solution

An AI-powered invoice reconciliation solution using SAP BTP and Document AI automatically processes invoice PDFs and compares invoice pricing against order data.
The AI agent:
  • Processes thousands of invoices in bulk
  • Extracts and validates invoice information
  • Reconciles invoice prices against order pricing
  • Identifies discrepancies automatically
  • Alerts customer support teams when exceptions are detected
  • Triggers relevant workflows for resolution
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    Outcome or Benefit

  • 35–40% reduction in customer complaints
  • 30–40% reduction in customer support effort
  • 20–30% improvement in customer satisfaction and retention
  • ~$250K reduction in monthly operational costs
  • Faster identification and resolution of invoice discrepancies
  • Scalable reconciliation across high-volume invoice processing
  • Technical Details

    Explore the technology behind the solution

    View the detailed architecture, technology stack and implementation approach.

    SAP S4HANA
    BTP
    CAP Service