Infor SyteLine4 min readNetray Engineering TeamUpdated March 4, 2025

How to Resolve SyteLine Inventory Discrepancies

Inventory discrepancies in SyteLine create cascading problems from inaccurate MRP planning to misstated financial statements. These discrepancies manifest as differences between physical counts and system quantities, mismatches between inventory sub-ledger and GL balances, and phantom inventory in locations that are actually empty. Root causes include unposted material transactions, backflush timing issues, negative inventory allowances, and manual adjustments without proper documentation. This guide provides a systematic approach to identifying, quantifying, and resolving inventory discrepancies.

Identifying Quantity Discrepancies with Cycle Count Analysis

Start by running the Inventory Variance Report comparing on-hand quantities against the last cycle count or physical inventory. For targeted analysis, query: SELECT i.item, i.qty_on_hand, i.qty_allocated, i.qty_on_hand - i.qty_allocated AS available, il.loc, il.qty_on_hand AS loc_qty FROM dbo.item i LEFT JOIN dbo.itemloc il ON i.item = il.item WHERE ABS(i.qty_on_hand - (SELECT SUM(qty_on_hand) FROM dbo.itemloc WHERE item = i.item)) > 0. This identifies items where the item master quantity does not match the sum of location quantities — a common discrepancy caused by incomplete location transfers. Set up ABC cycle counting in the Cycle Count Setup form with A items counted monthly, B items quarterly, and C items annually to catch discrepancies early.

Run query comparing item.qty_on_hand against SUM(itemloc.qty_on_hand) to find item-location quantity mismatches
Configure ABC cycle counting: A items monthly (top 20% by value), B items quarterly (next 30%), C items annually
Review negative on-hand report: SELECT item, qty_on_hand FROM dbo.item WHERE qty_on_hand < 0 for immediate investigation
Check allocated quantities against open orders: allocated qty without matching open CO or job indicates stale allocations

Auditing Material Transactions for Root Cause Analysis

Trace discrepancies to their source by auditing the material transaction history. Query: SELECT mt.trans_type, mt.trans_date, mt.item, mt.qty, mt.loc, mt.ref_num, mt.ref_line_suf FROM dbo.matltran mt WHERE mt.item = 'DISCREPANT_ITEM' AND mt.trans_date > DATEADD(month, -3, GETDATE()) ORDER BY mt.trans_date DESC. Look for suspicious patterns: large adjustments without reference numbers, backflush transactions with quantities that do not match job completion quantities, and transfer transactions where the from-location deduction does not have a matching to-location receipt. For production-related discrepancies, compare job material actual quantities against BOM standard quantities: SELECT jm.item, jm.matl_qty AS planned, jm.act_matl_qty AS actual, jm.matl_qty - jm.act_matl_qty AS variance FROM dbo.jobmatl jm WHERE jm.job = 'JOB_NUMBER'.

Query matltran table for the discrepant item over 3 months to identify suspicious adjustment and transfer patterns
Flag adjustments without reference numbers: SELECT * FROM matltran WHERE trans_type = 'A' AND ref_num IS NULL
Compare backflush quantities against job completion: mismatches indicate BOM quantity errors or scrap underreporting
Verify transfer transactions have matching from/to entries — orphaned transfers indicate interrupted location moves

Reconciling Inventory Sub-Ledger with General Ledger

Financial inventory discrepancies require reconciliation between the inventory sub-ledger value and the GL inventory account balance. Run the Inventory Valuation Report as of the period end date and compare against the GL trial balance for the inventory control account. Query: SELECT SUM(i.qty_on_hand * i.unit_cost) AS subledger_value FROM dbo.item i WHERE i.product_code IN (SELECT product_code FROM dbo.product_code WHERE stocked = 1). Compare this against the GL balance: SELECT SUM(CASE WHEN dc_flag = 'D' THEN amount ELSE -amount END) AS gl_balance FROM dbo.gltrans WHERE acct = 'INVENTORY_CONTROL_ACCT' AND period <= 'CURRENT_PERIOD'. Investigate the difference by checking for unposted journal entries, timing differences between transaction dates and posting dates, and standard cost changes that were applied to the sub-ledger but not posted to GL.

Compare Inventory Valuation Report total against GL trial balance for the inventory control account as of period end
Check for unposted inventory journal entries: SELECT SUM(amount) FROM journal_entry WHERE source = 'INV' AND posted = 0
Investigate standard cost update variances that may have posted to the sub-ledger but not yet flowed to GL
Reconcile monthly and investigate variances exceeding $500 or 1% of total inventory value immediately

Frequently Asked Questions

What inventory accuracy rate should I target in SyteLine?

Target 95% accuracy for B and C items and 99% accuracy for A items measured by cycle count variance rate. Track accuracy as: (Total counts - Counts with variance) / Total counts. Most well-managed SyteLine implementations achieve 97-98% overall accuracy. If your accuracy is below 90%, prioritize fixing systemic issues like backflush errors and unauthorized adjustments before expanding cycle count frequency.

Should I allow negative inventory in SyteLine?

No. Disable negative inventory in the Inventory Parameters form by unchecking Allow Negative Quantities. Negative inventory creates compounding errors in cost calculations, MRP planning, and financial reporting. If transactions require negative inventory, the root cause is a process failure — typically a receipt not entered before an issue. Enforce receiving discipline and use SyteLine alerts to notify when pending issues exist without matching receipts.

How do I handle inventory discrepancies found during physical inventory?

Enter physical count results through the Physical Inventory Count form and generate the Variance Report before posting adjustments. Require supervisor approval for adjustments exceeding $250 or 10% of item value. Post adjustments to a dedicated Inventory Adjustment variance account, not directly to COGS. Investigate the top 20 variances by dollar value for root cause and document findings. Complete the process within 5 business days of the count to minimize additional transaction complexity.

Key Takeaways

1Identifying Quantity Discrepancies with Cycle Count Analysis: Start by running the Inventory Variance Report comparing on-hand quantities against the last cycle count or physical inventory. For targeted analysis, query: SELECT i.item, i.qty_on_hand, i.qty_allocated, i.qty_on_hand - i.qty_allocated AS available, il.loc, il.qty_on_hand AS loc_qty FROM dbo.item i LEFT JOIN dbo.itemloc il ON i.item = il.item WHERE ABS(i.qty_on_hand - (SELECT SUM(qty_on_hand) FROM dbo.itemloc WHERE item = i.item)) > 0.
2Auditing Material Transactions for Root Cause Analysis: Trace discrepancies to their source by auditing the material transaction history. Query: SELECT mt.trans_type, mt.trans_date, mt.item, mt.qty, mt.loc, mt.ref_num, mt.ref_line_suf FROM dbo.matltran mt WHERE mt.item = 'DISCREPANT_ITEM' AND mt.trans_date > DATEADD(month, -3, GETDATE()) ORDER BY mt.trans_date DESC.
3Reconciling Inventory Sub-Ledger with General Ledger: Financial inventory discrepancies require reconciliation between the inventory sub-ledger value and the GL inventory account balance. Run the Inventory Valuation Report as of the period end date and compare against the GL trial balance for the inventory control account.

Need help resolving inventory accuracy issues in SyteLine? Netray's inventory management consultants can implement cycle counting programs and reconciliation procedures. Contact us for an inventory accuracy assessment.

Talk to an Expert See a Demo

Related Resources

Infor SyteLine