Reports
LoadViewer Reports provide data-backed validation of shipment feasibility and container utilization, based strictly on physical constraints and live shipment data.
ROPES and CUT are LoadViewer’s two validation frameworks, built on the same underlying load optimization engine. They transform raw load plans into actionable validation outcomes, helping teams identify shut-out risk, underutilization, and consolidation potential before execution.
Together, ROPES and CUT form a decision validation layer across the shipment lifecycle. ROPES is applied early — when order quantities are being finalized — to secure risk-free, physically feasible orders. CUT is applied later — when shipments are being structured — to ensure those orders are executed with optimal container utilization and protected margins.
Rather than publishing dozens of surface-level metrics, LoadViewer exposes only these two lenses — because every feasibility, risk, and opportunity insight ultimately derives from them.
They are designed for buyers, buying agencies, exporters, and logistics teams who need defensible shipment decisions before commitments are made.
What these reports validate
Each report compares declared shipment intent with physically feasible load outcomes generated by LoadViewer.
Validation outcomes are derived from physically generated load plans. Public views show aggregated examples for transparency, while shipment-specific validations remain private and access-controlled.
ROPES Load Validation
Validates whether declared shipment quantities can be physically loaded into the selected container configuration.
- Identifies shut-out risk caused by infeasible declarations or restrictive container selection
- Highlights unused capacity within a single container
- Confirms alignment between declared and feasible loads
Primarily used at the order finalization and pre-booking stage, ROPES acts as a feasibility checkpoint when container types and counts are already declared. It helps Merchandisers, Sales teams, and Buying Agencies identify shut-out risk, infeasible declarations, and unused capacity before commitments are locked in.
View ROPES Load ValidationCUT – Container Utilization Transformation
Evaluates how declared shipment volumes are distributed across multiple containers and whether container count can be reduced through feasible consolidation.
- Identifies over-segmentation caused by restrictive container choices
- Highlights opportunities to reduce container count
- Surfaces partial loads where LCL allocation may avoid inefficient container usage
Primarily used during shipment planning and booking optimization, CUT evaluates how declared volumes are distributed across multiple containers. It helps Supply Chain and Logistics teams identify over-segmentation, reduce container count, and decide when partial loads should move via LCL before final booking and execution.
View CUT ReportReports are generated from actual shipment data and physical load plans. They do not include pricing assumptions or commercial recommendations.
LoadViewer publishes only those reports that directly validate physical feasibility. Additional insights are derived from these core validations rather than presented as separate reports.
If you have questions about interpreting report outcomes, contact us at support@loadviewer.com.