🌱 ESG-READY SCOPE 3 REPORTING

Carbon Footprint
in Logistics

🚚 Logistics Python

EU CSRD and supply chain due diligence regulations increasingly require logistics operators to report Scope 3 emissions — but emissions data is fragmented across carriers, calculated inconsistently, and never aggregated into an auditable dataset. By 2027, mid-market firms face mandatory disclosure. The companies building their data infrastructure now will avoid the compliance scramble coming for everyone else.

🏛️ CSRD Compliance Readiness Dashboard ● SCOPE 3 DATA CAPTURED
🌿 Live CO₂e Emissions Calculator — GLEC Framework
Enter shipment parameters to calculate per-shipment emissions using the Global Logistics Emissions Council (GLEC) Framework methodology
MODE: PERIOD:
// emissions summary
Scope 3 Logistics Emissions KPIs
// modal shift analysis
Transport Mode CO₂e Comparison
// analytics
Emissions Analysis
Monthly CO₂e Emissions — 12-Month Trend by Mode (tonnes)
Stacked view showing each transport mode's monthly contribution to total Scope 3 logistics emissions
CO₂e by Transport Mode (Total, tonnes)
Modal split of total annual emissions — air freight typically accounts for disproportionate share despite low volume
Emissions Intensity by Lane (kg CO₂e per tonne-km)
Top 10 highest-intensity lanes — priority targets for modal shift or load factor improvement
Modal Shift Saving Potential — CO₂e Reduction (tonnes)
Estimated annual CO₂e reduction achievable by switching air freight shipments to road or rail where feasible
CO₂e per Shipment Distribution
Histogram of per-shipment emissions — long tail of high-emission shipments drives disproportionate impact
// raw data
📊 Raw Emissions Dataset

Per-shipment CO₂e data calculated using GLEC Framework emission factors — 50 rows shown. Download full dataset below.

Shipment IDDateOriginDestinationMode Distance (km)Weight (kg)Load Factor % EF (gCO₂/tkm)CO₂e (kg)Equiv. Trees Modal Alt.Modal Saving (kg)
// methodology
Problem → Solution → Findings
🔴▶ PROBLEM
  • No unified CO₂e dataset existed across the logistics network — each carrier provided emissions in different units with inconsistent methodology, making totals non-comparable and non-auditable for CSRD disclosure
  • Air freight emissions were systematically underreported by carrier-supplied figures that excluded radiative forcing multipliers required by GLEC Framework — understating the true climate impact by 2–3×
  • No modal shift analysis had ever been conducted — procurement teams had no visibility into how much CO₂e could be avoided by switching specific lanes from air to road or sea freight
  • Finance teams were unable to quantify carbon costs in total cost of shipment calculations, making it impossible to include emissions in supplier or mode selection decisions
🔵▶ SOLUTION
  • Python pipeline applying GLEC Framework emission factors per transport mode: Road HGV 62g CO₂e/tkm, Sea Container 8g, Air Freight 500g, Rail Electrified 28g — all adjusted for load factor using the formula: CO₂e = weight × distance × EF × (1 / load_factor)
  • Modal shift analyser: for every air shipment, calculates the CO₂e under the next-best modal alternative (road or sea) and flags shipments where modal shift saves >50% emissions without sacrificing delivery lead time
  • Monthly Scope 3 emissions report auto-generated in line with CSRD Category 4 (Upstream Transportation) disclosure requirements — ready for sustainability audit submission
  • Carbon cost monetisation: applies EU ETS carbon price (€65/tonne CO₂e) to every shipment, making emissions visible as a financial line item in logistics cost reporting
🟢▶ FINDINGS
  • Air freight accounted for just 22% of shipment volume but 71% of total logistics CO₂e — confirming that modal shift from air is the single highest-impact lever available for Scope 3 reduction
  • 38% of air shipments were eligible for modal shift to express road or sea freight without impacting delivery windows — representing 142 tonnes CO₂e/year in avoidable emissions
  • Applying GLEC radiative forcing multipliers to air freight (factor ×2.7) revealed actual air emissions were 63% higher than carrier-supplied figures — a material difference for regulatory disclosure
  • Total annual logistics emissions: 287 tonnes CO₂e — of which 104 tonnes are fully avoidable through modal shift alone, equivalent to planting 5,200 trees
  • Carbon cost of current freight network: €18,655/year at EU ETS prices — rising to €37,000+ under 2030 carbon price projections, creating a strong financial case for decarbonisation now
// outlook
📈 Annual CO₂e Forecast & Reduction Pathway
Scope 3 Logistics Emissions — 12-Month Projection (tonnes CO₂e)
Historical emissions (solid) vs forward projection. Reduction pathway scenarios show impact of modal shift and efficiency improvements
// strategic guidance
💡 Advice for Companies with Similar Challenges
Logistics Decarbonisation — Key Recommendations
// KEY TAKEAWAY

Logistics decarbonisation is not primarily a technology problem — it is a data and decision-making problem. Most of the emissions reduction available to supply chain teams is achievable today, with existing modes and existing suppliers, simply by making better modal choices based on emissions data that most companies aren't yet calculating. Build the dataset first. The right decisions follow naturally from the numbers.