In 2026, labor remains the largest expense for many parcel hubs and warehouses, often accounting for 50–70% of total operating costs, making it critical for operations to increase throughput while reducing labor and operational spend.
Parcel hubs and distribution centers remain under pressure
Parcel networks face many challenges: rising labor acquisition and retention costs, constrained capacity, and the need to sustain higher throughput to meet e-commerce expectations. Operators are prioritizing automation and footprint optimization to increase efficiency and throughput as customer and market demands continue to evolve.
Operational Challenges
- Labor: Recruiting and retention remain difficult as labor pools shrink and can be unreliable
- Capacity & throughput: Brownfield facilities and legacy sortation lines struggle to scale without costly footprint expansion.
- Reliability: Mixed SKUs, irregular packaging, and exception items create jams and downstream downtime that erode throughput and increase manual interventions.
Why singulation + AI exception detection matters
Singulation is the gatekeeper for downstream sortation. If items enter a facility's sorter mis-singulated, the result is reduced throughput, increased errors, and potential package damage. Embedding AI into singulation changes that dynamic:
- Early interception: AI identifies problematic parcels before they reach sensitive downstream equipment, preventing jams, damage and manual intervention.
- Higher accuracy: Trained 3D vision models classify doubles, side‑by‑sides, oversized and misaligned items with a much higher consistency than manual inspection.
- Utilization of downstream MHE equipment: By eliminating delays and bottlenecks at the singulation point, operations can fully utilize their MHE investments with sustained throughput over multiple shifts while reducing costly downtime events.
VarioDetect + VarioRoute
Körber Supply Chain’s Automatic Exception Detection pairs VarioDetect (AI 3D vision) with VarioRoute diverters, which, when paired together, detect and remove exceptions in real time.
How it works
- A 3D camera and light barrier capture an aligned parcel stream; trained AI models classify exceptions and size information.
- When an anomaly is detected (damaged, oversized, undersized, misaligned, side‑by‑side, clustered, doubles), the system flags the piece and sends precise routing instructions to downstream equipment.
- Exceptions are routed into two dedicated streams, while standard items continue through the singulation process.
Key performance and fit
- Throughput: up to 12,000 parcels per hour (pph), depending on configuration.
- Footprint: compact L 6335 mm × W 2240 mm × H 2900 mm, enabling retrofit into existing lines.
- Benefits: increased system availability, reduced damage and downtime, improved sorting accuracy, and minimized manual intervention.
- Ease of installation VarioDetect is designed for seamless integration with existing singulators and sorters, using standard interfaces and a compact footprint to minimize installation downtime.
Discover the future of supply chains with Körber
For parcel hubs and DCs under pressure to raise throughput while lowering labor and operational costs, embedding AI into singulation and pairing it with automatic exception handling is a high-impact, near-term solution. Körber’s VarioDetect + VarioRoute delivers measurable gains, higher availability, fewer damages, and sustained throughput without requiring footprint expansion, making it a practical step toward resilient, cost-efficient operations.
References
- https://www.bostontec.com/ergonomics/employee-productivity-statistics/
