Quick Overview
AI rate-sheet automation uses document interpretation to suggest structured freight-rate records from supplier files. Extraction is followed by validation, exception handling and human approval. Accurate workflows retain the source, charge conditions and version history so pricing teams can investigate uncertainty before publishing rates.
What does AI extraction add to a rate-sheet workflow?
A conventional importer maps predictable columns into fields. AI-assisted extraction can help interpret changing layouts, labels, footnotes and tables. Its output still needs to be checked against the original source.
This guide focuses on extraction quality and review. For the complete process of maintaining rates after ingestion, see freight rate-sheet automation.
Which file formats should you test?
Support varies by product and file structure. Ask vendors to process representative files rather than accepting a format name as evidence of reliable extraction.
| Source | Challenge to test | Review requirement |
|---|---|---|
| Excel workbook | Multiple sheets, merged cells, formulas and hidden context | Confirm which sheets and values were interpreted |
| CSV file | Encoding, delimiters and limited formatting context | Validate headers, units and missing conditions |
| Text-based PDF | Tables split across pages and footnotes | Connect each condition to the affected rates |
| Scanned PDF | OCR errors and unclear characters | Check critical numbers and identifiers against the image |
| Revised supplier file | Partial amendments and changed validity | Identify exactly which records are superseded |
Receiving a file successfully is not the same as extracting all its commercial meaning.
Extract values with their source context
A useful output includes more than origin, destination and price. Capture supplier, service, equipment, commodity, currency, charge basis, minimums, validity and restrictions where supplied.
Retain a reference to the source sheet, row, page or region where possible. A reviewer should be able to inspect the evidence behind a proposed value.
Do not treat an empty cell as zero. Blank, unavailable, included and not applicable are different states.
Normalize locations, currencies and units carefully
Match locations to the correct port, airport, inland point or tariff zone. A city name can refer to several facilities. Hold ambiguous matches for review.
Keep original and normalized values available. Recognizing a currency code is different from converting money: conversion requires a separately defined exchange-rate source, date and policy.
Likewise, a charge per container cannot be compared directly with a charge per shipment without checking its applicability. Preserve the equipment, unit and minimum associated with each amount.
Interpret validity and surcharge conditions
A date may relate to booking, departure, cargo receipt or another contract condition. Preserve that meaning when mapping validity fields.
Footnotes may limit a charge to selected lanes or equipment. Confirm whether surcharges are included, separate, conditional or awaiting confirmation.
A supplier amendment may change one component while leaving the rest of an agreement active. Do not replace the complete contract simply because a later file exists.
Use confidence scores as review signals
Some extraction products provide confidence scores; others do not. Ask what the score measures and whether it applies to a field, a row or a document.
A confidence score is not automatically a calibrated probability of commercial correctness. Clear text can still be mapped to the wrong charge or lane.
Set review priorities according to impact. Currency, price, unit, validity and equipment errors can materially change a quote even when the rest of the document is accurate.
Build an exception queue that can be resolved
| Exception | Evidence needed | Reviewer action |
|---|---|---|
| Ambiguous location | Supplier wording and candidate matches | Confirm the intended facility or zone |
| Missing currency | Source context or supplier clarification | Add a verified currency |
| Conflicting validity | Agreement and amendment references | Establish the applicable condition |
| Possible duplicate | Supplier, lane, equipment, charges and dates | Confirm duplicate or retain distinct records |
| Unclear surcharge | Footnote and calculation basis | Clarify inclusion and applicability |
| Low-quality extraction | Original document region | Correct the value or request a usable file |
Assign an owner and resolution status. Keep unresolved records out of published pricing until the required review is complete.
Example: a PDF footnote changes the interpretation
This example is hypothetical.
A tariff lists ocean rates for two container sizes and includes a footnote applying an additional charge to one size only. The extractor identifies the base rates but proposes the extra charge for both.
The reviewer checks the linked source region, corrects applicability and records the reason. The approved version retains the footnote and the structured condition.
This is why extraction accuracy should be assessed at the field-and-condition level, not only by counting successfully imported rows.
Approve publication and preserve recovery options
Require an authorized person to approve extracted contract rates before publication. Keep the imported source, reviewed output, corrections and approval reference.
A rollback should restore an appropriate published version without erasing the record of the change. It should not silently rewrite historical quotes or remove an amendment trail.
Test publication permissions and recovery in the proposed configuration. Confirm which actions are supported directly and which need an associated workflow.
Measure extraction quality
Use a reviewed sample with known correct values. Measure critical-field accuracy, correction time, unresolved records and time from receipt to approved publication.
Report results separately for structured spreadsheets, text PDFs and scans. Include documents that failed, rather than measuring only successful imports.
Explore AI for freight forwarders to see how reviewed rate data supports other workflows.