Reconcile Shipment Documents with TMS for a National Freight Forwarder

[Workflow snapshot]

As loads close, shipment documents arrive from drivers and shippers; the agent classifies each document (BOLs, PODs, rate cons, carrier invoices, scale tickets, trip sheets) and extracts required fields into schemas.

Expected values are pulled from the TMS, each document is reconciled to the order record, discrepancies are flagged, and validated outputs are written back for billing and compliance.

Volume: 82,000 shipment documents monthly across 28,000 loads.

[Key outcomes]

Governed agents keep humans involved only when exceptions surface, preserving traceability.

• Shipment documents normalized into consistent data sets.
• Reconciles against expected load records with real-time discrepancy flags.
• Structured outputs posted to the TMS for billing and compliance.
• Eliminates packet handling bottlenecks while keeping SLA guardrails.

[Controls applied]

Identity and scope controls keep access least-privileged while maintaining throughput.

• Document-type schemas specify required fields and confidence thresholds.
• Reconciliation rules in the TMS apply tolerance checks to line items, contracts, and rate tables.
• Replayable audit logs capture sources for every extraction and validation step.

[Data sources and targets]

The TMS stays the system of record while every transformation is captured for audit.

• Ingests scans, images, and email attachments from drivers and shippers.
• Cross-checks load master data, rate tables, and carrier SLAs within the TMS.
• Writes validated fields and exception statuses back into the TMS for downstream workflows.

[Exception flows]

Prevents backlog buildup and keeps billing moving without sacrificing accuracy.

• Low-confidence fields route to coordinators with highlighted differences.
• Discrepancies trigger side-by-side source views for faster resolution.
• SLA timers on unresolved packets escalate to supervisors.

[Operational rollout]

Iterative rollout limits risk and builds trust with ops and finance stakeholders.

• Begin with the highest-volume document formats to prove ROI quickly.
• Set variance thresholds by lane and customer to reduce noise.
• Phase in write-backs once validation accuracy meets targets.