What causes inventory shrinkage in distribution?

Top causes: 1) Receiving errors (wrong qty accepted), 2) Picking errors (wrong item/qty shipped), 3) Damage not recorded, 4) Theft, 5) Administrative errors (data entry mistakes), 6) Returns not properly restocked. Most shrinkage is process-related, not theft.

What is cycle counting and how does it work?

Cycle counting is the practice of counting a small subset of inventory on a regular schedule instead of shutting down for a full physical count. You might count 20-50 SKUs per day, prioritizing high-value and fast-moving items. Over time, every product gets counted without disrupting operations.

Inventory Audit Guide for Distributors

Q: How often should you do a physical inventory count?

Full physical counts should be done at least annually (many distributors do quarterly). Cycle counting — counting a subset of products daily or weekly — is more effective for maintaining accuracy. Count A-items monthly, B-items quarterly, C-items annually. This spreads the workload and catches errors faster.

Q: What is an acceptable inventory accuracy rate?

Best-in-class distributors maintain 97-99% accuracy. 95% is acceptable. Below 90% indicates systemic issues with receiving, picking, or tracking. Every 1% improvement in accuracy reduces stockouts, improves customer fill rates, and reduces safety stock requirements.

Why Accuracy Matters

If your inventory system says you have 10 of a product but you actually have 3, three things happen: the system doesn't trigger a reorder (it thinks you have 10), a customer orders and you can't fulfill (stockout), and your AI forecasting uses wrong data (garbage in, garbage out).

Every percentage point of accuracy improvement compounds across your entire operation. Going from 90% to 95% accuracy can reduce stockouts by 30% and cut safety stock requirements by 15%.

Full Physical Count vs. Cycle Counting

Full Physical Count

The traditional approach: shut down operations, count everything, reconcile. It's thorough but disruptive. Most distributors do this annually or quarterly.

When to do it: Year-end for financial reporting, after system migrations, after discovering significant discrepancies.

Process:

Freeze all receiving and shipping 24 hours before count
Print count sheets organized by location/aisle/bin
Two-person teams: one counts, one records
Blind count first (counters don't see expected quantities)
Recount any items with variances over 5%
Reconcile variances and adjust system quantities
Investigate root causes for large discrepancies

Cycle Counting

The modern approach: count a small subset of products every day or week. No shutdown needed. Over time, every SKU gets counted.

ABC-based frequency:

A items (top 20% by value) — count monthly
B items (next 30%) — count quarterly
C items (bottom 50%) — count annually

A distributor with 3,000 SKUs: 600 A-items counted monthly (20/day), 900 B-items quarterly (15/day), 1,500 C-items annually (6/day). That's roughly 40 counts per day — one person can handle it in 2-3 hours.

Variance Analysis

When counts don't match, you need to find out why. Common patterns:

Pattern	Likely Cause	Fix
System higher than actual	Picking errors, unreported damage, theft	Improve pick verification, audit receiving
System lower than actual	Receiving more than recorded, returns not entered	Fix receiving process, audit return flow
Same products always off	Location confusion (similar SKUs nearby), unit-of-measure errors	Reorganize warehouse, fix UOM in system
Random variances everywhere	Systemic data entry problems	Implement barcode scanning, reduce manual entry

Reducing Shrinkage

Shrinkage is the gap between what your system says and what's actually there. Industry average for distribution is 1-3% of inventory value. Best-in-class is under 0.5%.

Top 6 Shrinkage Reducers

Barcode everything — scan at receiving, picking, and shipping. Eliminates the #1 cause: manual entry errors.
Two-step receiving — one person unloads, another verifies quantities against the PO. Catches shorts on arrival.
Pick confirmation — require scan or count confirmation before marking an order shipped.
Damage logging — create a simple process for recording damage immediately (photo + SKU + qty). Unrecorded damage is invisible shrinkage.
Return-to-stock process — returns that don't get scanned back into inventory create phantom shortages.
Bin location discipline — products in wrong bins cause misscounts. Regular bin audits prevent cascading errors.

Maintaining Accuracy Over Time

An accurate count is worthless if accuracy degrades within a month. Build these habits:

Daily cycle counts — 30-60 minutes per day keeps accuracy above 95% permanently
Exception-based investigation — when the system flags a discrepancy (reorder triggered but product is on shelf), investigate immediately
Reconcile after every sync — if you sync with InFlow or another ERP, compare before/after and flag changes
Monthly accuracy KPI — measure and report accuracy rate. What gets measured gets managed.

Keep Your Data Clean

Tru-Stock AI flags inventory discrepancies, tracks variance trends, and syncs with your ERP every night. Accurate data means accurate forecasts, accurate reorder suggestions, and fewer stockouts.

Get Free Assessment →

Frequently Asked Questions

How often should you do a physical inventory count?

Full counts annually at minimum. Cycle counting (daily subset counts) is more effective: A-items monthly, B-items quarterly, C-items annually.

What is an acceptable inventory accuracy rate?

Best-in-class: 97-99%. Acceptable: 95%. Below 90% indicates systemic issues.

What causes inventory shrinkage?

Receiving errors, picking errors, unrecorded damage, theft, data entry mistakes, returns not restocked. Most shrinkage is process-related.

What is cycle counting?

Counting a small subset of inventory on a regular schedule instead of full shutdowns. 20-50 SKUs per day, prioritizing high-value items.

Inventory Audit Guide: How to Count, Verify, and Maintain Accuracy