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Inventory Reconciliation for Finance Teams: Match, Fix, and Close Faster

Vincente Herrera, Nominal's Sales Engineer
Vincente Herrera
Jan 30, 2026

Inventory reconciliation compares recorded balances across systems with what physically exists, investigates differences, then posts and documents corrections so subledgers and the GL match. Regular resolution processes reduce shrinkage, improve COGS accuracy, and support an audit-ready close.

Inventory reconciliation compares inventory-related transactions across systems, investigates differences, and posts and documents corrections so your books are accurate and audit-ready. Done well, it improves COGS accuracy, catches errors early, and supports a faster period-end close.

For many finance teams, month-end still means ten tabs open and a race to trace mismatches. Transactions flow through multiple systems such as ERPs, procurement platforms, and accounts payable systems that rarely agree when transaction volume rises or entities multiply. The result is late closes, noisy margins, and too many manual adjustments.

The disciplined process of matching recorded transactions across sources and documenting corrections is not a spreadsheet exercise. It is a repeatable workflow that scales with transactional volume, entities, and systems. Automation, especially AI-assisted transaction matching, can carry the heavy lifting while keeping your ERP intact.

What is inventory reconciliation?

Inventory reconciliation is the process of matching inventory-related transactions across systems and accounts, investigating differences, and documenting resolutions. The goal is to confirm that what you received matches what you paid for, that transfers between entities are recorded on both sides, and that clearing accounts net to zero as expected.

Common scenarios include:

  • Receipts to invoices: Matching goods received against vendor invoices to catch timing gaps and price variances.
  • Intercompany transfers: Matching outbound transfers from one entity against inbound postings in another.
  • Clearing accounts: Matching transactions within the same account, such as the payment for inventory against the receipt of goods, to confirm the account clears as expected.
  • Cross-system validation: Matching ERP inventory transactions against records from procurement, warehouse, or other source systems.

The outcome is a clean, documented process that management and auditors can trust.

Why is inventory reconciliation important for finance teams?

This work is not just about ticking boxes at month-end. It underpins the accuracy of margins, working capital, and compliance reporting. When transactions do not match, errors compound and surface at the worst times.

  • Margin integrity: Unmatched receipts or missed invoices flow directly into COGS and gross margin.
  • Working capital accuracy: Clearing accounts that do not clear signal errors in what you have paid versus what you have received.
  • Compliance and audit readiness: Documented processes with matched transactions.
  • Close speed: Teams that automate matching and focus on real exceptions close faster and spend more time on analysis.

Recommended read: Intercompany Reconciliation: How to Eliminate Backlogs and Speed Up Month-End Close

What is the inventory reconciliation process?

Think of resolution as a structured workflow, not a one‑time task. Each stage should build on the last, moving from raw data collection through matching and investigation to adjustments and final approval. 

These stages break the reconciliation process into practical steps: gathering source data, standardizing formats, matching records, investigating discrepancies, posting adjustments, documenting the work, and monitoring results. 

Each one builds on the last, turning what could be a chaotic exercise into a clear, repeatable workflow that scales and produces reliable evidence.

1. Gather and align sources

Pull data from the systems involved, like ERP, procurement, AP, and warehouse management. Capture the dimensions you will reconcile against, such as account, entity, date, amount, vendor, and PO number.

2. Normalize and standardize

Unify identifiers, date formats, and account codes across sources. Map vendor names, PO references, and entity codes so transactions can be compared accurately.

3. Match transactions

Compare transactions across sources to identify what ties and what does not. This is where automation makes the biggest difference, applying consistent logic at scale and surfacing only the exceptions that need human judgment.

4. Investigate discrepancies

Group exceptions by type so you can route and resolve them efficiently:

  • Timing differences: Receipts posted in one period, invoices in another; goods in transit at cut-off
  • Missing counterparts:  A transfer posted on one side but not the other; a receipt without an invoice
  • Price variances: Invoice amount differs from the receipt or PO
  • Uncleared items: Transactions in a clearing account that should have offset but didn't

5. Post adjustments and tie out

After identifying the root cause, post the appropriate adjustment. Recalculate affected metrics and confirm the reconciliation ties.

6. Document evidence and approvals

Attach supporting documents like invoices, receipts, transfer records, and investigation notes. Capture preparer and reviewer approvals to support audit sampling.

7. Re-run and monitor

Rerun the reconciliation after adjustments to confirm everything ties. Track aged exceptions and accuracy over time to spot systemic issues.

How to resolve common inventory reconciliation discrepancies

Discrepancies arise for many reasons, from timing gaps to missing transactions, and each has a different fix. Understanding these categories helps teams move faster when exceptions appear and prevents small mismatches from snowballing into large write-offs.

Timing differences

  • Symptoms: Goods received but invoice not yet posted, or shipments in transit at period end.
  • Fix: Use clear cut-off rules. Document the timing gap and confirm the invoice posts in the following period, or accrue if material.
Side-by-side view of AR and AP accounts highlights unmatched transactions, enabling users to match based on contextual details

Missing counterparts

  • Symptoms: A transfer posts on one entity but the other side is missing. A receipt exists without a matching invoice.
  • Fix: Investigate whether the counterpart transaction is delayed, posted incorrectly, or genuinely missing. Post corrections once confirmed.

Intercompany mismatches

  • Symptoms: One entity shows an outbound transfer while the other shows a different amount, date, or no transaction at all.
  • Fix: Reconcile transfers as matched pairs. Investigate differences and align postings before elimination on consolidation.

Price variances

  • Symptoms: Invoice cost differs from receipt or purchase order.
  • Fix: Match invoice to receipt, flag variances that exceed tolerance, and post variance adjustments with documentation.

Recommended read: Smarter Variance Analysis: Automate Insights, Skip the Spreadsheets

Uncleared items in clearing accounts

  • Symptoms: A clearing account has aged items that should have offset, like payment without a receipt or a receipt without a payment.
  • Fix: Investigate the open items. Match where possible, post corrections for errors, and escalate unresolved items.

How Nominal automates inventory reconciliation

Most inventory issues are matching problems. You have transactions on one side, like receipts, payments, and outbound transfers, and transactions on the other like invoices, inbound transfers, and offsetting entries. The work is determining what ties, what does not, and why.

Set up matching groups

Nominal's transaction matching engine automates this process. Start by setting up matching groups that define what you are reconciling, the data sources, the fields to compare, like amount, date, account, entity, and reference, and the scope. Common inventory setups include receipts to invoices, intercompany transfers, and clearing account reconciliation.

Configure agents to match journal entries across AR and AP using custom matching groups, semantic logic, and user-defined thresholds
Nominal’s matching engine applies semantic and rule-based logic across transaction fields, including date, amount, and reference numbers.

Configure agents to match journal entries across AR and AP using custom matching groups, semantic logic, and user-defined thresholds

Configure matching logic

Set the rules for what constitutes a match, whether exact or within tolerance, one-to-one or many-to-one. High-value transactions might require exact matches, while high-volume activity can tolerate small variances.

Automate matching and focus on exceptions

Once configured, Nominal runs your logic against incoming data. Transactions that meet the criteria match automatically. What is left is your exception queue, the items that actually need investigation. Instead of manually comparing thousands of line items, your team focuses only on the discrepancies that matter.

Matched intercompany transactions grouped by confidence level, with discrepancies flagged for review or approval.

Resolve and document

For each exception, investigate the root cause, attach supporting evidence, and post adjustments or mark as explained. Approvals are captured in the system alongside the documentation, creating an audit trail without the spreadsheet scramble. The result is a repeatable workflow with the same logic every period, clear visibility into what is matched versus open, and an audit-ready trail.

Nominal identifies probable matches with minor discrepancies, allowing teams to investigate, resolve, and document exceptions efficiently.

If matching inventory transactions is slowing your close, start by mapping your current process. What are you comparing? What fields matter? What tolerances make sense? That clarity is the foundation for automating what Excel and ERP tools cannot handle at scale.

Month-end should not be a late-night spreadsheet drill. As volume and entities grow, manual tracing becomes unsustainable. The right system matches transactions across sources, flags mismatches, and posts corrections with a full audit trail.

See how Nominal automates Inventory Reconciliation and speeds up your close. Request a demo today.

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About the writer

Vincente Herrera, Nominal's Sales Engineer
Vincente Herrera
Vincente Herrera

Vincente Herrera is a Sales Engineer at Nominal, helping clients improve consolidation and reporting through financial operations expertise. He previously worked in customer success and consulting roles at Chassi, Airbase, and Netgain, and began his career in assurance at EY. He holds a Master of Accountancy from BYU and enjoys hiking, canyoning, and golfing.

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