A technical pipeline for converting ESG reports into traceable indicators, causal links and operational priorities for e-commerce logistics teams.
Technical architecture
The workflow is designed as a report-to-decision pipeline: unstructured ESG disclosures are parsed, normalized into comparable indicators, linked through an ESG knowledge graph, and ranked by operational leverage.
Document parser separates governance commitments, environmental actions and logistics KPIs.
NLP classification maps text fragments to material ESG themes and evidence labels.
Graph scoring links top-down governance levers with frontline supply-chain outcomes.
Data inputs
Annual ESG reports, supplier metadata, fulfilment indicators, emissions factors, governance policies and public sustainability disclosures.
Model logic
Each extracted claim is scored by theme, confidence and evidence source, then linked to operational outcomes through a directed ESG dependency graph.
Validation
Manual sample review, year-to-year consistency checks and KPI back-testing where operational data is available.
