Data Reconciliation

Closing the Gap on Marketplace Invoice Reconciliation

Marketplace reconciliation was a major headache for the finance team. Thousands of unmatched transactions across AWS, Azure, and GCP caused delays and lost revenue. Safebooks AI automated the process by triangulating CRM and ERP data, enabling real-time, audit-ready invoice matching without shared identifiers.

Safebooks

Safebooks

April 30, 2025

2 min read

Share:

a blue background with the words use case closing the gap on marketplace invoice

Table of contents:

    The finance team managing cloud marketplace revenue (AWS, Azure, GCP) was struggling to reconcile invoices from the marketplaces with invoices in the ERP system (NetSuite).

    The problem: there was no unique identifier linking the two sides of the transaction.

    Even though both invoices were legitimate, they couldn’t be matched automatically, and with thousands of monthly transactions, it was impossible to reconcile manually.

    As a result:

    • Legitimate charges went unbilled, leaving millions in revenue on the table each year.

    • For every mismatch, the finance team had to dive into CRM and ERP sales orders one at a time, which meant hours of manual, error-prone and tedious work.

    • Manual reconciliation introduced delays and made it difficult to close the books on time.

    šŸ” What Was Needed

    • A way to match marketplace invoices to ERP invoices without a shared ID.

    • Logic to leverage CRM and ERP sales orders to triangulate matches based on amounts, dates, and customer context.

    • Self-service tools for finance, not SQL or BI tickets, to investigate exceptions.

    • The ability to generate complete, audit-ready work papers tied to each reconciliation.

    • A scalable approach that could handle high-volume, cross-system reconciliation automatically.

    āœ… Solution

    Safebooks ingested data from Salesforce (CRM), NetSuite (ERP), GCP, Azure and AWS marketplaces. Using the graph-based model, the platform created intelligent links across transactions, even when there was no direct match key.

    With Safebooks, the team could:

    • Filter discrepancies by cloud vendor (AWS, Azure, GCP), customer, and period.

    • View marketplace invoice lines alongside their ERP invoice match, with supporting sales order and CRM data.

    • Identify rate mismatches, missing invoices, or duplications in real time.

    • Export audit-ready work papers showing how each match was determined.

    šŸ“ˆ Results

    • Thousands of marketplace-to-ERP invoice matches were reconciled automatically with no manual intervention.

    • Finance teams could investigate exceptions without waiting for SQL or engineering help.

    • Billing discrepancies surfaced during the period, not after close.

    šŸŽÆ Outcome

    The team moved from manual, best-effort reconciliation to a structured, automated process. By combining data from Salesforce, NetSuite, and marketplaces, and layering smart logic on top, Safebooks helped the finance team match marketplace invoices at scale with no shared ID required.

    Instead of chasing mismatches late in the close cycle, they now detect and resolve issues early, with confidence, accuracy, and a complete audit trail.

    Like this article?
    Share:
    Getting Started is Easier than You Think

    Quick Demo

    10 Minutes Implementation

    Lasting Impact

    See Safebooks AI in Action

    Submit your email for a 30-minute live product demo

    By submitting this form, you agree to Safebooks’ Privacy Policy.