AI Operators · Use cases

Document automation

Automate logistics document processing and TMS data entry from emails and PDFs. Extract shipment fields, validate documents and write approved data to your TMS.

Discuss document automation

Your SOPs. Your systems. Your team in control.

Starts with
Shipment documents received through agreed operational channels.
Works with
Document types, shipment context, field mappings, comparison rules and your connected TMS.
Completes with
Approved data entered into the operational workflow, or a document exception ready for review.

The operational opportunity

Process the document. Validate the data. Complete the operational entry.

Logistics document processing connects incoming emails and PDFs to accurate operational records. It includes document classification, shipment-data extraction, validation and automated TMS data entry—not just OCR or comparing two files.

Shipflow’s Document Operator classifies files, extracts shipment data, checks it against customer rules and compares related documents when needed. It enters validated data into your TMS and sends unclear or conflicting information to your team with the source documents attached.

The workflow can support documents across the Ocean, Air and Road lifecycle. Representative Ocean documents include Master Bills of Lading (MBLs), House Bills of Lading (HBLs), Shipping Orders, Shipping Instructions, pre-alerts, commercial invoices, packing lists and arrival notices. Each document type has its own field mapping, validation rules and completion condition.

Receiving or extracting a document does not by itself make the data approved. Your workflow defines the authoritative source, required checks, permitted TMS fields and actions that need human review.

Workflow coverage

Process documents. Compare the right fields. Complete the data entry.

Configure the Document Operator around the job each document needs—not a single extraction template applied to every file.

Document processing

Collect documents from agreed channels, identify the document type and shipment, read the relevant content and manage revised versions.

Comparison and validation

Check required fields against related documents, TMS records and customer rules. Surface only the differences or omissions that require action.

TMS data entry and follow-through

Enter approved data into the shipment record and move the workflow to its next step.

Representative document types

  • Master Bill of Lading (MBL)
  • House Bill of Lading (HBL)
  • Shipping Order
  • Shipping Instructions
  • Pre-alert
  • Commercial Invoice
  • Packing List
  • Arrival Notice

How it works

From incoming file to usable operational data.

  1. Collect and identify the document

    Bring files from the agreed inbox, portal or workflow into one process. Classify the document type, match it to the shipment and distinguish the current version from superseded or duplicate copies.

  2. Extract and normalize the required data

    Read the fields the operational workflow needs, such as parties, references, routing, cargo, equipment, dates and document-specific values. Normalize the information to the formats expected by your TMS and SOP.

  3. Validate the document in context

    Check fields, formats and business rules against shipment records. Treat a document as ready only after it passes validation.

  4. Compare related documents when required

    Apply relationship-aware checks across documents such as MBLs and HBLs, Shipping Orders and Shipping Instructions, or commercial invoices and packing lists. Define which values should correspond, which can legitimately differ and which discrepancies require action.

  5. Enter approved data or route the exception

    Write validated values to the TMS. If information is missing, unclear or conflicting, send the source file and exact fields needing review to the responsible person.

Human control

Automate the routine. Keep judgment with your team.

Your team sets the SOPs, system access and approval rules before launch. AI Operators act within those limits and escalate cases that need a decision.

Execute within agreed rules

  • Collect, classify and match documents from the agreed sources.
  • Extract and normalize the fields required by each document workflow.
  • Validate documents against shipment records and related files.
  • Enter approved data into the TMS and advance the workflow.

Escalate when needed

  • Required documents or fields are missing.
  • Source information is unclear or does not pass validation.
  • A discrepancy or revision falls outside the approved handling rules.
  • The authoritative source is unclear or multiple documents conflict.
  • A correction, submission or downstream action requires human approval.
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Customer result

AI execution at Asia Shipping.

Less time spent on document comparison
97%+

Asia Shipping uses Shipflow AI Operators to automate document comparison, including MBL and HBL checks. The deployment reduces time spent on this task by 97%+. This is evidence for the comparison task, not a measured result for TMS data entry or all document processing.

This result relates to the customer workflow described. Results depend on workflow scope, input quality and deployment configuration.

“Prior to Shipflow, our operators had to manually compare data fields between MBL and HBL three to four times per shipment, which was extremely time-consuming. With Shipflow, this process is now fully automated by AI.”

Jack YeungIT Manager at Asia Shipping
Read the customer story

Getting started

Build around the way your operation works.

Choose the document workflow

Bring representative documents, including scans, attachments, revisions and difficult examples. Define whether the first workflow is processing, comparison, TMS data entry or a connected sequence, and agree what completed work means.

Map fields, relationships and sources of truth

Specify the data required from each document, how documents connect to shipments and one another, and which source takes precedence when values conflict. Identify the exact destination fields in the TMS.

Set validation and write controls

Define the checks, exception routes and approvals that apply before information is entered or an external action is taken. Confirm the supported input channels, file formats, system access and write-back permissions for the deployment.

Explore systems and integrations
Plan testing and rolloutHow document workflows are priced

Measure completed work, not just AI activity.

Measure the complete document workflow from receipt through validated data entry or exception handoff. Faster extraction alone does not establish that the shipment record is accurate and ready for the next operational step.

  • Manual time per document or document set
  • Time from receipt to validated TMS entry
  • Fields entered without manual rekeying
  • Document discrepancies requiring review
  • Corrections and repeated processing

Common questions

Before you put an AI Operator to work.

How is this different from OCR or data extraction?

Optical character recognition (OCR) converts an image into readable text. Extraction identifies useful fields. Shipflow connects those steps with validation, cross-document checks and actions in the operational workflow, subject to your rules and system access.

Can Shipflow compare MBLs and HBLs?

Yes. MBL/HBL comparison is part of the document-comparison deployment at Asia Shipping. The fields, document relationships and exception rules for another implementation are configured around that operation’s requirements.

Can Shipflow process documents and enter data into our TMS?

Yes. Shipflow reads documents, checks extracted fields against shipment context and writes approved values into the connected TMS. For CargoWise, the workflow can read and write through eAdaptor. Your team defines the document types, field mappings, access and approval rules before deployment.

Can we automate logistics data entry from emailed PDFs?

Yes. An email and PDF can start a document-processing workflow that matches the shipment, extracts the required fields, validates them and updates the TMS. Test the actual file formats and layouts used by your team, including scans, revisions and incomplete documents. Unreadable or conflicting information goes to review instead of being treated as valid data.

Which logistics documents can be included?

Workflows can be configured around documents such as MBLs, HBLs, Shipping Orders, Shipping Instructions, pre-alerts, commercial invoices, packing lists and arrival notices. Supported file formats, fields and actions are confirmed for the selected workflow and systems.

Does every difference mean a document is wrong?

No. Different document roles can lead to legitimate differences. During setup, your team defines which fields should correspond, which differences are expected and which require investigation. The operator applies those rules rather than treating every difference as an error.

Do we have to automate every document type at once?

No. Start with one repeatable document workflow and a clear validation standard. Expand to additional types after the team has reviewed the results and agreed the relevant rules, exceptions and system connections.

Start with one workflow

Start with the document processing or data-entry workflow your team keeps repeating.

Start with a free 15-minute AI consultation. Describe the document your team rekeys most often, the destination system and the checks it needs. We will map a first workflow around those requirements.

Discuss document automation