A logistics quote process needed to combine form intake, route data, pricing rules, loading meters, tolls, ferry logic, and special surcharges without burying assumptions in spreadsheets.
Customer route and shipment details enter n8n.
Distance, route, and country context are enriched.
Loading meters, tolls, ferry, and service rules apply.
Special cases and judgement-heavy costs are flagged.
The total is prepared with visible assumptions.
The workflow used structured form inputs, spreadsheet pricing rules, route enrichment, loading-meter multipliers, ferry lookups, tail-lift logic, selected AI judgement steps, and delayed-result handling to prepare a quote output with visible assumptions.
Pricing depended on origin, destination, country pair, loading meters, ferry crossings, tolls, tail-lift options, route duration, shortest versus fastest route choices, and spreadsheet-based assumptions.
The workflow connected the intake form, data cleanup, country-pair pricing, loading-meter multiplier, ferry pricing, route lookup, surcharge rules, and final quote preparation so the total could be explained by its components.
Invalid numbers, missing route data, failed spreadsheet lookups, delayed API responses, and judgement-heavy surcharge cases can be logged or reviewed instead of treated as simple automation output.
The value is a repeatable pricing workflow with less manual coordination, more visible assumptions, customer-facing result delivery, and a cleaner path to ownership transfer.
Start with one quote path, then automate the rules, exceptions, and review steps around it.
Scope an implementation sprint