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AI & LLM · Machine Learning · SaaS

ChainScope AI

Carbon intelligence for UK supply chains

Role
Full Stack & ML Engineer
Year
2026
Status
Open source
Stack
9 technologies
Source code
ChainScope AI — Carbon intelligence for UK supply chains

  • 12-mo

    Emission forecasts

  • Scope 1–3

    Emissions tracked

  • 48h

    Grid forecast

Screens

03 · click to zoom

Overview

ChainScope AI (the app ships as EchoChain — Carbon Identifier) gives sustainability teams one view of their whole supply chain — suppliers, warehouses and transport routes — with the emissions of each one calculated automatically.

Machine-learning forecasts and an AI assistant turn that data into actions: which routes to switch, which sites to fix first, and a compliance-ready report.

What I built

  1. 01Scope 1 / 2 / 3 tracking using UK DEFRA 2024 emission factors for fuel, electricity, gas and freight — with a dashboard of total emissions, scope breakdown, monthly trend and emissions by category.
  2. 02Carbon hotspot map with suppliers, warehouses and routes — AI-generated insights on every marker.
  3. 03RandomForest regression forecasting — historical vs. forecasted emissions with an adjustable horizon of up to 12 months.
  4. 04Route optimisation on real roads via Google Directions with per-mode savings (road, rail, sea, air).
  5. 05Live UK grid page from the National Grid ESO Carbon Intensity API — current gCO₂/kWh with a rating, renewable / low-carbon / fossil share, generation mix and a 48-hour forecast.
  6. 06AI Assistant on GPT-4o-mini — risk-rated recommendations with quick wins and prioritised, scope-tagged actions, an Ask AI chat and SECR compliance report generation.
  7. 07Stripe subscriptions and Excel / CSV bulk import for suppliers.