Record Accuracy
How is record accuracy different from inventory accuracy?
Inventory accuracy often focuses on quantity match only, while record accuracy (IRA) is stricter and also checks location, UOM, and sometimes lot/serial and status consistency.
What should be counted in an IRA measurement?
Best practice is to count the tested record as correct only when item identity, quantity, UOM, and location all match the system record; some facilities also include status controls such as blocked, quarantine, or expired.
Why do manufacturers care about record accuracy beyond counting?
Because ERP/MRP decisions depend on record integrity; bad record accuracy drives false shortages, excess safety stock, poor line planning, traceability failures, and reconciliation labor.
Inventory record accuracy (IRA) measures how closely system-of-record quantities, item identities, units of measure, bin locations, and statuses match physical material on hand in the warehouse or shop floor. It is a KPI, often calculated as correct item counts divided by total items counted multiplied by 100. Stricter definitions require SKU, lot, UOM, location, and status to match simultaneously.
On a manufacturing shop floor, record accuracy depends on disciplined transaction capture from receiving through putaway, picking, and issue or backflush to production. When records are inaccurate, planners see available components that are actually at a line-side rack, in quarantine, scrapped, or consumed but not posted. This distorts MRP signals, creates false availability, and delays production starts. Daily or frequent cycle counting reconciles physical quantities with ERP/WMS values, and documented adjustment approvals preserve data integrity. Replenishment, order promising, line-side kitting, FEFO/FIFO compliance, and lot/serial traceability all rely on accurate records. Without tight controls, variances spiral: receiving backlogs delay putaway, unpicked or unposted consumption inflates inventory, and mixed units of measure hide availability. Maintaining high accuracy, typically 95–100% or over 98% under auditable SOPs, keeps inventory visible, supports reliable order promising, and prevents the reconciliation labor and line stoppages caused by phantom stock.
Unposted issue/consumption transactions: Material physically reaches production but the issue is never booked in ERP/WMS, leaving overstated inventory. Phantom stock appears, and a subsequent job cannot pick the item, causing line stoppages.
Wrong bin or unit of measure: Stock quantity is correct in the system but assigned to an incorrect location or UOM, so allocation fails even though total inventory looks right. The material remains unavailable for picking.
Cycle-count and receiving discipline breakdown: Backlogged receiving, delayed putaway, or counting without locked transactions mixes movement and count data. Variance noise corrupts adjustments and hides the true root causes like shrinkage, mislabeling, or scrap errors.