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LogisticsAI

Templates

Freight emissions JSON schema template

Machine-readable artifacts help TMS, BI, and procurement systems consume emissions outputs without parsing PDFs.

{
  "pack_type": "transport_emissions_evidence_pack",
  "data_label": "Demo data",
  "reporting_period": "2026-Q2",
  "artifacts": [
    "executive_summary",
    "shipment_workbook",
    "machine_readable_json",
    "methodology_statement",
    "quality_report",
    "evidence_register"
  ]
}

Demo artifact set

Public sample files are intentionally marked as demo data. They show artifact structure without implying a real customer, certification or verification outcome.

Schema preview

The sample JSON includes pack metadata, reporting period, totals, intensity metrics, shipment lines, methodology references, and quality flags.

API workflow

Use the API to create workspaces, generate packs, and retrieve artifacts for embedded review flows.

How this fits your work
Audience
Developers and product teams embedding emissions workflows into logistics software.
Problem
PDF-only outputs are difficult to integrate into customer systems and recurring workflows.
What LogisticsAI can do
LogisticsAI exposes evidence-pack artifacts including JSON, shipment workbooks, methodology, and quality reports.
Related guides and tools

Frequently asked questions

Is this the full production API schema?

No. It is a public sample. Use the OpenAPI spec for current endpoint details.

Related resources

See the next step

Open a prepared example or check a sample file. If this task comes up regularly, tell us how your team handles it and we can outline the next step.