Freight quote automation checklist
Use this to pressure-test whether a quote workflow is ready for automation or still needs cleaner data, rules, and review paths first.
Start with quote inputs, not the final PDF
Most freight quote automation fails because the output is automated before the source decisions are explicit. The rate source, customer rules, route assumptions, accessorials, and validity windows all need stable shapes.
- Name every input that can change the final price.
- Separate imported rate data from customer-specific overrides.
- Track validity dates and stale-rate behavior.
Make bad rate data loud
Automation should reject or quarantine suspicious imports before they create customer-facing quotes. Silent bad data is worse than manual work.
- Validate required lanes, units, currencies, and effective dates.
- Flag missing or duplicate carrier/service combinations.
- Keep an import history with errors operators can understand.
Preserve calculation evidence
Every generated quote should be explainable. If a customer disputes a price, the team needs to trace the result back to the exact rule and rate source.
- Store the selected rate row or pricing rule version.
- Show surcharges and overrides separately.
- Log who generated, edited, approved, or sent the quote.
What should be true before this is production-ready
- Rate imports have validation and error review.
- Pricing rules are explicit and versioned.
- Generated quotes include calculation provenance.
- Operators can preview output before sending.
- Customer-specific rules are not hard-coded into one-off branches.
- Quote history is searchable by customer, lane, date, and source.