Seamless integration between quality inspections and inventory management creates a closed-loop quality system that: ✔ Prevents defective stock from entering inventory
✔ Automates hold/release decisions based on QC results
✔ Maintains perfect traceability from receipt to delivery
Automated Process:
GRN created → System checks item's QC requirements
If inspection needed:
Places stock in "QC Hold" bin
Auto-generates inspection task
Only approved items move to available stock
Smart Blocking Rules:
Auto-hold orders containing:
Items with open quality incidents
Batches with expired inspections
Override requires QA supervisor approval
1. Navigate to: Home > Stock > Items
2. For each item:
- [ ] Enable "Inspection Required for Receipt"
- [ ] Set default inspection template
- [ ] Define QC hold location
Create business rules:
# Example Rule: Rejected items quarantine
if inspection_status == "Rejected":
move_to("QUARANTINE-WH")
alert("QA Team", "Rejected batch #"+batch_no)
Configure how QC results update inventory:
Different inspection criteria for:
Supplier batches (tighter tolerances for new vendors)
Product grades (A vs B stock)
# Auto-reject items with <10% shelf life remaining
if (expiry_date - today) < (shelf_life*0.1):
status = "Rejected"
Automatically assign:
Quality hold costs to specific GL accounts
Scrap costs to responsible suppliers
Pharmaceutical Distributor Case:
Challenge: 14-day average QC-to-stock delay
Solution:
Implemented auto-release for passing batches
Integrated with WMS for priority putaway
Result: 92% of approved stock available within 2 hours
Common Scenarios & Resolutions:
Urgent Orders: Temporary bypass with audit trail
Partial Rejections: Split batches in system
Contested Results: Create quality incident record
Enforce "No QC, No Stock" policy
Regular reconciliation between:
QC records
Inventory balances
Financial postings
Monthly review of:
QC-to-stock cycle times
False positive rates
Supplier quality trends
Blockchain integration for immutable quality records
Predictive stock quarantine using ML models
AR-assisted inspections with smart glasses