template
Transport emissions data quality report template
A data quality report helps reviewers understand what was measured, estimated, missing, or modelled.
Audience
Teams preparing repeatable emissions outputs from imperfect shipment data.
Problem
Customer requests often fail because the quality of the underlying data is not explained.
Product fit
LogisticsAI flags missing fields, source types, and assumptions before publishing evidence packs.
Quality categories
Separate primary data, secondary supplier data, default factors, and modelled estimates so reviewers can assess confidence.
Common flags
Missing vehicle type, estimated distance, unknown fuel, inconsistent units, and incomplete shipment dates should be called out.
Explore the evidence workflow
Frequently asked questions
Does lower-quality data block reporting?
Not always. It should be labeled, reviewed, and improved over time.
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.