DCL Warehouse Management and Product Traceability Measures

Inspect and verify incoming goods against purchase orders (quantity, model, packaging).

Record batch/lot numbers, serial numbers, supplier information.

Reject or quarantine any goods that fail inspection.

Assign fixed or dynamic storage locations with clear bin/rack labeling.

Use barcode / RFID tagging for each pallet / carton / unit.

Enforce “first in, first out” (FIFO) or “first expire, first out” (FEFO) as applicable.

Monitor environmental conditions (temperature, humidity) if needed, and maintain logs.

Use WMS to manage stock-in, stock-out, transfer, replenishment, cycle counting, etc.

Real-time inventory visibility to avoid discrepancies and stockouts.

Integrate WMS with ERP, production, and quality systems.

Perform regular cycle counts (daily, weekly, monthly) to verify physical inventory against records.

Investigate and reconcile discrepancies immediately.

Use automated scanning systems / robotics to assist counting (as DCL Logistics has done with DexoryView, improving pallet location accuracy and counting speed) 

Use warehouse control systems (WCS) to coordinate conveyors, sorters, AS/RS, picking, packing, etc. 

Optimize picking paths, batch picking, and order consolidation to reduce travel and errors.

Implement standard operating procedures (SOPs) for handling, movement, and packing.

Restrict warehouse access to authorized personnel.

Monitor via CCTV, keycards, entry logs.

Maintain clean and organized warehouse to prevent mix-ups and damage.

Designate quarantine areas for defective, returned, or nonconforming products.

Track movement of those goods and resolution status.

After repair or disposal, update records accordingly.

Monitor key metrics such as inventory accuracy, order picking accuracy, on-time shipments, stock turnover.

Use dashboards and alerts to flag anomalies.

Assign unique identifiers to each product unit, batch, or lot (e.g. serial number, lot code, barcode, QR code, RFID).

Labels should carry key information: product model, batch/lot, production date, expiration (if applicable).

At each process step (receiving, storage, production, inspection, packing, shipping), scan and record the identifier.

Record associated metadata: timestamp, operator, machine, materials used, quality inspection results.

Maintain relational links between raw materials, subcomponents, assembly steps, test records, and final product.

Store trace logs so you can trace backward (which raw materials used in a unit) and forward (where a unit was shipped).

Use a centralized database (or ERP module) to store all trace data.

Provide query functions: given a serial / lot, retrieve its full history (supplier, process, inspections, storage, shipment).

Be able to rapidly identify and isolate affected batches if a defect or safety issue is found.

Maintain “critical tracking events” and “key data elements” to support recall actions (similar concepts used in regulated industries). 

Prevent unauthorized modification/deletion of trace data; keep timestamped logs of changes.

Version control for system configurations and processes.

Periodic audits to validate trace data integrity.

Provide clients or regulatory bodies with traceability reports as needed (e.g. for quality audits, compliance).

Optionally, allow customers to scan QR / barcode to see product provenance (for enhanced transparency).

RFID or IoT sensors to automate tracking and environmental monitoring.

Blockchain or distributed ledger for tamper-proof traceability across multiple stakeholders.

Vision systems or computer vision to assist trace reading (color codes, pattern recognition)