Freight data does not start inside clean systems. It arrives through emails, PDFs, attachments, images, portals, spreadsheets, rate confirmations, BOLs, PODs, and invoices. FreightGraph turns that messy information into structured logistics data your team can use.
Critical freight information is scattered across inboxes, documents, portals, spreadsheets, and disconnected systems. Every manual copy-paste creates delays, missed charges, billing gaps, duplicate work, and decisions made from incomplete data.
Teams spend hours moving shipment details from emails and PDFs into systems.
BOLs, PODs, invoices, and rate confirmations contain data that rarely becomes searchable or usable.
When documents are late or incomplete, invoices wait and disputes take longer to resolve.
Rates, lanes, delays, margins, and carrier behavior stay fragmented across tools.
Enter your numbers below. We compare manual entry time against AutoFill-assisted review time, including the review step, so the result stays honest.
AutoFill reads freight emails, PDFs, images, BOLs, PODs, invoices, rate confirmations, and attachments, then extracts the fields your team needs and prepares them for your operating system.
Pull data from emails, uploads, PDFs, images, BOLs, PODs, invoices, and attached files.
Identify load numbers, parties, addresses, dates, charges, references, accessorials, and document details.
Let users review exceptions and approve extracted data before it enters the operating system.
Push approved freight data into the tools your team already uses for operations, billing, and reporting.
Once freight information is clean and connected, teams can analyze more than individual shipments. They can see lane patterns, rate behavior, recurring delays, document gaps, accessorial trends, margin leakage, and network performance.
Understand which lanes create cost, delay, or margin pressure.
Compare quoted, accepted, billed, and historical freight data.
Spot recurring bottlenecks across customers, carriers, facilities, and regions.
Find where document gaps, manual work, and missed charges reduce profitability.
Use structured freight data to understand how your freight network behaves.
Freight Matching only works when the data behind it is clean. FreightGraph starts by capturing and structuring freight information, then uses that intelligence to support better matching between loads, lanes, carriers, capacity, and opportunities.
Learn About Freight MatchingFreightGraph helps logistics teams reduce manual entry, capture cleaner freight data, and turn fragmented information into operational intelligence.
