Warehouse Exception Handler
Pubblicato il 19-09-2026 - Jd.Com in Pavia
About Us
JINGDONG Logistics (JD Logistics) is the logistics arm of JD.com and one of the world's leading technology-driven supply chain solutions providers. Leveraging advanced expertise in automation, intelligent logistics, and data-driven operations, we deliver end-to-end logistics solutions that help businesses grow while enhancing customer experience.
Context of the Position
As part of our rapid international expansion across Europe, JD Logistics is establishing high-velocity automated distribution centers and logistics hubs. We are seeking an agile, problem-solving Warehouse Exception Handler to take ownership of physical and systemic operational anomalies, ensuring zero process friction and maintaining absolute inventory integrity.
The Mission & Core Scope
- The Mission: Identify, investigate, and resolve all real-time warehouse operational exceptions (damaged stock, unscannable barcodes, missing items, WMS inventory mismatches, and system-blocked parcels) to keep fulfillment flows moving without delay.
- The Scope:
You will act as the first line of defense for floor anomalies across Inbound, Outbound, and Sorting departments, working directly with floor supervisors, ICQA, and IT/WMS support teams to clear operational bottlenecks.
Crucial Expectations & Performance Targets
To provide a clear understanding of the accountability required, the successful candidate will be evaluated on the following key metrics during the initial 6 to 12 months:
- Exception Resolution SLA: Resolve daily floor exception tickets and physical problem-solve totes within strict time windows to prevent order cut-off misses.
- Inventory Discrepancy Elimination: Conduct immediate root-cause investigations for short-picks or bin mismatches, updating system stock accurately to minimize inventory adjustments.
- Quality & Packaging Recovery: Manage the repackaging, re-labeling, and quarantine of damaged or non-compliant goods in accordance with quality and safety protocols.
- Data Accuracy