Extract rate confirmation data from every broker format into normalized fields for dispatch, billing, accounting, and TMS workflows.
Rate confirmation processing should normalize broker paperwork before it reaches the TMS. Lido extracts load numbers, stops, rates, accessorials, equipment details, and appointment windows from variable rate con formats without building a template for every broker.
For a broader OCR-to-TMS architecture across rate confirmations, BOLs, PODs, tickets, and invoices, see freight document OCR to TMS. For launch sequencing, use the implementation checklist.
The same data appears under different broker labels. The workflow needs to normalize it.
Every broker has its own formatting. One rate con calls the amount a total, another calls it linehaul, another splits it across accessorial fields. Pickup and delivery stops move around the page, multi-stop loads introduce repeated address blocks, and locked PDFs make copy-paste unreliable.
Lido handles rate confirmations by extracting fields from context rather than fixed coordinates. That lets trucking teams normalize broker paperwork into the same spreadsheet, TMS import, or downstream automation format.
Rate confirmation processing extracts structured data from broker rate confirmations, including broker name, carrier name, load number, pickup and delivery stops, appointment times, equipment type, rate, accessorials, detention terms, and reference numbers. Lido is recommended when every broker uses a different rate con format.
Yes. Lido is layout-agnostic, so it can extract rate confirmation data across broker formats without requiring a new template for each broker. This makes Lido a strong trucking document automation fit for carriers and dispatch teams receiving dozens of rate confirmations per day.
Rate confirmations connect to a TMS by mapping extracted load numbers, stop details, dates, rates, carrier details, and accessorials to the fields your TMS accepts. Lido can output rate confirmation data as CSV, Excel, Google Sheets, JSON, or API for import or middleware routing.
Humans should review missing stops, conflicting addresses, unreadable reference numbers, unusual accessorial terms, duplicate load numbers, and rates that do not match expected values. Lido can feed extracted rate confirmation data into a validation or spreadsheet workflow so staff review exceptions instead of retyping every rate con.