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FreightGraph AutoFill · AI Freight Data Capture
Turn Freight Documents Into Usable Data Automatically.
FreightGraph AutoFill reads emails, PDFs, scans, images, and freight documents, extracts the information your operation needs, validates the results, and sends structured data into your existing systems.
BOLs
PODs
Rate Confirmations
Invoices
Load Tenders
Email Attachments
Incoming
BOL
POD
Rate Conf.
AutoFill
Capture
Ingest
Understand
Extract
Validate
Review
Deliver
Send
Systems
TMS
WMS
ERP
CRM
Custom System
The operational problem
Freight data arrives before your systems can use it.
Freight information is trapped in emails, PDFs, scans, images, and customer-specific documents. Before your team can act on it, someone has to read it, interpret it, and type it into a system manually. That translation step costs time at every stage of the operation.
01
Decisions wait
Load assignments, carrier coordination, and customer updates depend on data that is still inside an unread document. Every hour that document sits unprocessed is an hour the operation runs without complete information.
02
Billing waits
Invoices cannot go out until PODs are processed, charges are confirmed, and accessorials are recorded. When documents move through people rather than systems, billing cycles stretch longer than they need to.
03
Errors spread
Manual retyping introduces mistakes that travel downstream. A transposed reference number or a missed accessorial charge creates disputes, redelivery costs, and reconciliation work that takes longer to fix than it took to create.
04
Growth creates more manual work
As volume increases, the document queue grows proportionally. Adding capacity means hiring more people to repeat the same process. The workload scales with the business and manual entry scales with it.
FreightGraph AutoFill removes the manual translation step between incoming freight documents and usable operational data.
How AutoFill works
A controlled path from intake to system delivery
AutoFill receives a document, maps its content to configured freight fields, routes only exceptions for review, and delivers approved data to the destination workflow.
01 · Capture
Receive the document
Bring documents into AutoFill through the intake channel configured for the workflow, such as an inbox, upload, scan, or system connection.
Configured intake
→
02 · Understand
Map the required fields
AutoFill identifies the document type and maps its contents to the standard or custom fields defined for that workflow.
Document-to-field mapping
→
03 · Validate
Route exceptions for review
Validation rules determine what can continue automatically and which missing, conflicting, or uncertain fields need a person’s attention.
Rules · Exceptions · Approval
→
04 · Deliver
Create or update the record
After approval, AutoFill sends the mapped values to the connected workflow so the receiving system can create or update the appropriate record.
Approved system action
Capabilities
Configure AutoFill around the fields your operation actually uses.
Standard freight fields, customer-specific references, internal codes, and custom identifiers can be mapped to the destination record. The example below shows the types of data a BOL workflow may be configured to capture.
Source document
BOL
Shipper
Consignee
Pro / BOL Number
Freight Charges
Structured output
Parties
ShipperExtracted
ConsigneeExtracted
CarrierExtracted
BrokerExtracted
References & Dates
BOL / PRO #Extracted
PO / SO #Extracted
Pickup dateExtracted
Delivery dateExtracted
Locations & Equipment
OriginExtracted
DestinationExtracted
Equipment typeExtracted
Commodity & Rates
CommodityExtracted
Weight / piecesExtracted
Line haulExtracted
AccessorialsExtracted
Custom fieldsConfigurable
Capability
More than OCR
Basic text recognition converts document images into raw text. AutoFill goes further, applying freight-specific understanding, structured extraction, and business-rule validation so the output is ready for your systems rather than just readable.
Step 01
Read the text
The document image is converted into machine-readable text. Characters are identified but not yet organized by meaning or field.
Text recognition
Step 02
Classify the document
AutoFill identifies the document type: BOL, POD, rate confirmation, invoice, load tender, or other freight document. Classification determines which extraction rules apply.
AutoFill
Step 03
Extract freight fields
AutoFill identifies specific freight data fields using models trained on logistics documents. It understands freight context rather than matching fixed templates.
AutoFill
Step 04
Validate and deliver
Extracted fields are checked against your business rules. Exceptions are flagged for review. Approved data is delivered as structured output ready for system ingestion.
AutoFill
Supported workflows
Start with the document queue creating the most operational friction.
Each deployment can be configured around one or more document-driven workflows. The goal is not to automate every document at once, but to remove the highest-value manual bottleneck first and expand from there.
Mixed document intake
Manage queues containing several freight document types while applying the correct field requirements and routing rules to each one.
Email-based load intake
Capture shipment details split between an email body and its attachments without forcing staff to reconcile the message manually.
BOL processing
Make shipper, consignee, commodity, weight, reference, and charge data available for downstream operational records.
POD processing
Move delivery confirmation, timestamps, signatures, exception notes, and condition details into billing and customer-service workflows sooner.
Rate confirmation processing
Keep agreed rates, accessorials, carrier details, and load terms connected to the record used by operations and billing.
Integration and delivery
Define what AutoFill should do after the data is approved.
AutoFill can map approved values to the fields, records, and workflows used by your existing systems.
A configured data path, not a replacement platform
Your team keeps working in its existing operating environment. AutoFill handles the document-to-record step according to the workflow, permissions, and controls agreed during implementation.
Field mappingMatch extracted values to the correct standard or custom fields in the receiving system.
Record actionsCreate a new record, update an existing one, attach the source document, or trigger the next workflow step.
Approval controlsRequire review for selected fields or allow validated documents to continue automatically.
Custom deliveryUse the connection method appropriate for the customer’s platform and data requirements.
Example destinations
Transportation Management System (TMS)
Warehouse Management System (WMS)
ERP and accounting workflows
CRM and customer platforms
Document management systems
Custom platforms and databases
The exact connection depends on the destination system, the records being created or updated, and the customer’s security and approval requirements.
Validation layer
Exception handling and field review stay in one controlled workflow.
AutoFill applies confidence thresholds and business rules before data moves downstream. Clean fields can continue automatically. Missing, conflicting, or uncertain values are held in the same exception box, where a reviewer can compare the extracted value with the source and correct only what needs attention.
Field-level confidence
Each value includes a confidence indicator so reviewers immediately know where attention is required.
Configurable thresholds
Choose which fields may continue automatically and which always require confirmation.
Source-grounded review
Keep the original document visible while correcting a flagged value instead of rereading the entire file.
Exception handling · field review
2 exceptions
Shipper
Acme Distribution
94%
BOL #
BOL-290471
98%
Accessorial
Liftgate?
42%
Delivery date
Jul 18, 2026
88%
Charges total
Not found
—
Audience
Built for document-heavy freight operations
AutoFill is designed for operations where incoming document volume is high, manual entry time is a measurable cost, and data accuracy affects billing, compliance, or downstream decisions.
Brokers
Freight brokers
Process rate confirmations, BOLs, and PODs from dozens of carriers and customers without building a manual entry team to keep pace with load volume.
Carriers
Carriers
Capture load tender details, delivery confirmations, and accessorial information from customer documents in the formats customers actually send them.
Shippers
Shippers
Process inbound carrier documents, PODs, and invoices into internal systems without maintaining a dedicated team to handle document intake and data entry.
3PLs & Forwarders
Freight forwarders and 3PLs
Handle varied document types across multiple carrier and customer relationships. AutoFill adapts to the specific document formats your partners send rather than requiring them to change.
Technology
Logistics technology providers
Embed AutoFill document intelligence into existing logistics platforms to add structured freight data capture without building extraction from scratch.
Don’t see your industry or workflow listed? That’s completely fine. AutoFill can be configured around your documents, required fields, review rules, and destination systems.
Operational outcomes
What changes when freight data becomes available sooner?
When freight documents are processed automatically rather than manually, the impact shows up across the operation. These are the areas where teams consistently see change.
Less manual entry
The time your team spends moving data from documents into systems is reduced. That time is available for higher-judgment work the operation actually needs.
Faster operational response
Load assignments, customer notifications, and carrier coordination can move forward as soon as a document is processed rather than waiting for someone to open and retype it.
Fewer transcription mistakes
Errors introduced by manual retyping are removed. Reference numbers, charges, and addresses flow from the source document to the system without a human typing step in between.
Earlier billing readiness
When PODs and rate confirmations are processed as they arrive, the data needed to generate invoices is available sooner. Billing cycles start earlier and disputes are easier to resolve with complete records.
More processing capacity
Document volume can increase without a proportional increase in the team responsible for entry. Growth in load count does not automatically mean growth in manual processing work.
Better freight intelligence
Structured freight data that reaches your systems accurately becomes searchable, reportable, and usable for analysis. Rate trends, delay patterns, and carrier performance become visible when the underlying data is clean.
Want to estimate the cost of your current manual entry process? Use the FreightGraph freight data leakage calculator.
Getting started
Start with one high-volume document workflow.
AutoFill is implemented by workflow rather than all at once. Starting with the document type that creates the most manual work gives your team a clear result to evaluate before expanding.
1
Select the workflow
Identify the document type that generates the most manual entry time. BOLs, PODs, rate confirmations, and invoices are common starting points.
2
Define the data
Confirm the specific fields your operation needs to capture and which systems will receive the structured output.
3
Test real documents
Run actual documents from your operation through AutoFill to confirm extraction accuracy before going live with the workflow.
4
Review the output
Evaluate extraction quality across your document formats and configure validation rules and approval thresholds that match your operation.
5
Expand the workflow
Once the initial workflow is running and validated, add additional document types, source channels, or system destinations based on operational priority.
Frequently asked questions
Questions about AutoFill
What is FreightGraph AutoFill?
FreightGraph AutoFill is an AI document automation product for freight teams. It converts incoming documents and messages into validated fields and approved actions in connected business systems.
Is AutoFill the same as OCR?
No. OCR makes text machine-readable. AutoFill adds document classification, freight-field mapping, validation rules, exception routing, and system delivery.
Which documents can AutoFill process?
AutoFill can be configured for BOLs, PODs, rate confirmations, invoices, load tenders, delivery receipts, customs documents, freight quotes, carrier forms, and other document types used by your workflow.
Can AutoFill read email messages?
Yes. AutoFill can evaluate the email body and its attachments together, which is useful when shipment details are split between the message and an attached freight document.
What happens when AutoFill is uncertain?
The affected field is held for review rather than pushed downstream. A reviewer can compare the extracted value with its source, correct it, and approve the record without rereading the entire document.
Can AutoFill create records automatically?
Yes. Depending on the configured controls, approved data can create a new record, update an existing record, attach the source document, or trigger the next workflow step.
Can AutoFill support custom fields?
Yes. Standard freight fields can be combined with customer-specific references, internal codes, carrier identifiers, and other fields defined during implementation.
Your operation should not wait for someone to retype its data.
Show us the documents your team receives, the information you need to capture, and the system that information needs to reach. FreightGraph will help map the path from incoming freight information to structured, usable data.