Freight document automation

Match every document. Close every load. Bill without the wait.

Eranova's AI agents capture PODs, BOLs, and rate cons the moment they land, match each to the right load, reconcile the documents and charges against your TMS, and close the load out ready to bill, with no manual filing or chasing.

20M+ shipment events handled annually

Across a network of 50+ logistics service providers

Closed and billable

Close the load the moment the paperwork lands.

  • Every document matched to its load

    PODs, BOLs, and rate cons are captured and matched automatically, no manual filing.

  • Discrepancies caught, not missed

    Documents and charges are reconciled against the load, with variances flagged for review.

  • Loads close out faster

    The moment the documents are in and reconciled, the load is closed and ready to bill.

  • Bill sooner

    Clean, complete loads hand straight to billing, so cash comes in faster.

The numbers for load closeout.

78%

reduction in quote turnaround time

92%

of offline shipment data captured automatically

4x

faster load closeout to cash processing

< 10 wks

average Eranova deployment timeline

Document to billable load

From document to a closed, billable load.

Document match and load closeout is one connected flow. Eranova captures the paperwork, reconciles it against the load, and closes the load out ready for AR, syncing to your TMS at every step.

Capture & match

Capture every document and match it to the load.

PODs, BOLs, and rate cons are captured the moment they land and matched to the right load, with no manual filing.

  • Document capture

    Documents are read and structured as they arrive in the inbox or a portal.

  • Document-to-load matching

    Each document is matched to the correct shipment in the TMS.

PODs, BOLs, and rate cons captured and matched to the right load
Reconcile

Reconcile documents and charges against the load.

Documents and charges are checked against the load and the TMS, and discrepancies, a weight variance or a charge mismatch, are flagged for review.

  • Load-document-charge reconciliation

    Document fields and charges are checked against the load record line by line.

  • Discrepancy detection

    Variances such as a weight or charge mismatch are flagged for a human to review.

See the shipment knowledge graph
Close out

Close the load out, ready for billing.

Once the documents are in and reconciled, the load is closed and handed to billing, ready for AR.

  • Load closeout

    A clean, complete load is closed automatically the moment it is reconciled.

  • Handoff to billing

    The closed load hands straight to AR, so billing starts without the wait.

A reconciled load closed out and handed to billing, ready for AR
Specialized agents

The agents behind document match & load closeout.

Each agent runs on the one shared shipment knowledge graph, not as a point tool, so capture, match, reconcile, and closeout work as one system.

Document Indexing

Classifies and indexes every shipment document.

Document Load Matching

Matches every document to the right load.

POD Collection

Collects and files proof of delivery.

BOL Reconciliation

Reconciles BOLs against the TMS.

FAQ

Document match and load closeout, answered.

What is AI document-reconciliation automation?

It captures shipment documents, classifies and indexes them, matches them to the right load, extracts key fields, and reconciles them against the TMS before closeout and billing.

Can AI match freight documents to a load without a load number?

Yes. Eranova uses the document and shipment context to match records to the correct load, including cases where a clean load number is not present.

Which supply chain documents can AI agents index and reconcile?

Eranova supports documents such as BOLs, PODs, rate confirmations, invoices, scale tickets, wash tickets, and trip sheets.

How does document automation speed up logistics billing?

Clean, complete loads can close automatically after reconciliation and move directly to AR, instead of waiting in a manual review queue.

How are document reconciliation exceptions handled?

Variances and uncertain matches are flagged for a person to review, while clean documents continue through the workflow.

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