integration
CargoWise transport emissions reporting from shipment exports
LogisticsAI can work with exported CSV or XLSX shipment data from CargoWise when the fields needed for emissions calculation and quality review are present.
Audience
Teams using CargoWise exports for customer, procurement, or sustainability reporting.
Problem
Shipment data often exists in operational systems, but emissions workflows need consistent mapping, assumptions, and artifact outputs.
Product fit
LogisticsAI maps exported shipment data, reviews quality gaps, calculates transport emissions, and packages evidence artifacts.
Required export data
Useful exports include shipment dates, origin, destination, distance, weight, mode, vehicle type, and fuel where available.
- Dates and reporting period
- Origin and destination
- Distance and cargo weight
- Mode, vehicle, and fuel if available
How LogisticsAI uses the export
The workspace maps columns, applies calculation logic, flags missing data, and generates an evidence pack with methodology, quality, and machine-readable outputs.
No official integration claim
This page describes workflows using exported data from CargoWise. It does not claim an official CargoWise integration or partnership.
Explore the evidence workflow
Frequently asked questions
Can I validate an export first?
Yes. Use the CSV validator to check likely fields before creating a workspace.
What if data is missing?
Missing data can be flagged and sometimes estimated, but assumptions should remain visible in the evidence pack.
Related resources
Move from content to workflow
Use the public samples and tools to evaluate the workflow, then create a workspace or request async follow-up when real shipment data is ready.