Automated Email and Doc Reader
Reads the operations inbox every minute, classifies each RFQ, BOL, POD or COI, extracts the fields with OCR and creates or updates the load in the TMS.
THE CONTEXT
Every inbox document gets typed in by hand today
Every RFQ, BOL, POD or rate con landing in the operations inbox is read and typed into the system by hand. The team spends two to four hours a day on that entry, across fifty to two hundred documents. The cost is double: operator hours and typos that break the Q2C.
THE SOLUTION
The load gets created without typing the doc at all
The agent reads the inbox every minute, classifies the type and extracts the fields with OCR. If confidence clears the threshold, it creates or updates the load in the TMS with a link to the source email; if not, it sends it to the operator queue. No manual entry.
KEY CAPABILITIES
What the agent resolves within each document
Inbox reading
It connects by OAuth to the shared Outlook or Gmail inbox and reads each incoming email every minute, with all its attachments.
Classify and extract
It identifies whether the document is an RFQ, BOL, POD, COI or rate con, and extracts origin, destination, weight, date and rate with OCR.
Load creation
It creates or updates the load in the TMS with the extracted fields and leaves a link to the source email as audit evidence of each record.
Review queue
When confidence falls below the configured threshold, it sends the document to a queue where the operator confirms or corrects first.
Before / After
The inbox document stops being typed and becomes a load in seconds.
2 to 4 hours of entry
100% typed by hand
Typos break the Q2C
System Integrations
Connects to what your operation already uses
It reads the inbox by OAuth, extracts fields with Azure OCR, creates the load in the TMS with an email link and leaves low-confidence ones in a queue.
FAQs
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