Build a Freight Emissions Assumptions and Shipper Comparison Report Engine

Calculate Scope 3 freight emissions for Singapore drayage routes and feeder transport legs. Benchmark carrier operational sustainability against open transport indices, helping shippers optimize logistics network efficiency.

Logistics Sustainability Analyst

Ingest consignment shipment routes, gross cargo weights, transport modes, and carrier operational logs.

Retrieve standardized distance and emission factor baselines matching Singapore road and maritime corridors.

Calculate well-to-wheel and tank-to-wheel carbon intensities across comparing transport operators.

Produce an interactive comparison report with carrier rankings and actionable decarbonization proposals.

A comparative analytical dashboard showing per-TEU carbon emissions, route efficiency breakdowns, carrier sustainability ratings, and PDF export previews.

Create synthetic drayage trips between PSA terminals and Jurong industrial hubs, accompanied by simulated feeder barge legs to regional ports. Starter examples below are synthetic. They are not downloaded records.

Singapore open data API Leverages real-time and collection API patterns from data.gov.sg to query public road network and port coordinate endpoints.

mastra-ai, pydantic, pandas, fastapi. Mastra AI orchestrates step-based calculation workflows and handles multi-carrier data transformation with built-in auditability. Standard reasoning LLM via local Ollama instance or Anthropic API for generating comparative narrative summaries.

Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.

Applies deterministic emission calculation factors across heavy drayage trucks and feeder vessels.

Accurately scores and ranks multi-carrier consignment scenarios by total kilogram CO2 equivalent per metric ton-kilometer.

Flags incomplete route records or zero-weight cargo inputs with descriptive validation warnings.

Synthesizes an itemized shipper comparison report detailing alternative low-carbon corridor choices.

```json [ { "input": { "shipment_id": "SHP-SG-7890", "cargo_tonnes": 18.5, "origin": "PSA Pasir Panjang Terminal", "destination": "Tuas South Industrial Park", "road_distance_km": 28.4, "carrier_quotes": [ { "carrier_id": "CARRIER-A", "fleet_type": "Euro 6 Diesel Prime Mover", "emission_factor_gco2e_tkm": 92.5, "empty_return_rate": 0.3 }, { "carrier_id": "CARRIER-B", "fleet_type": "Electric Heavy Truck", "emission_factor_gco2e_tkm": 34, "empty_return_rate": 0.1 } ] }, "expected_output": { "_note": "These are simplified synthetic app records, not complete official schema files.", "shipment_id": "SHP-SG-7890", "total_cargo_tkm": 525.4, "comparison": [ { "carrier_id": "CARRIER-A", "gross_emissions_kg_co2e": 63.18, "efficiency_rating": "AVERAGE" }, { "carrier_id": "CARRIER-B", "gross_emissions_kg_co2e": 19.65, "efficiency_rating": "SUPERIOR" } ], "carbon_reduction_delta_kg": 43.53, "recommended_carrier": "CARRIER-B" } }, { "input": { "shipment_id": "SHP-SG-7891", "cargo_tonnes": 0, "origin": "Jurong Island Checkpoint", "destination": "Keppel Distripark", "road_distance_km": 22, "carrier_quotes": [ { "carrier_id": "CARRIER-C", "fleet_type": "Euro 5 Diesel", "emission_factor_gco2e_tkm": 110, "empty_return_rate": 0.5 } ] }, "expected_output": { "_note": "These are simplified synthetic app records, not complete official schema files.", "shipment_id": "SHP-SG-7891", "error": "INVALID_CARGO_WEIGHT", "message": "Cargo weight must be greater than zero to compute freight carbon intensity.", "comparison": [] } } ] ```

Calculates freight emissions strictly for benchmarking and reporting without issuing enforceable compliance fines or carrier penalties. Use mock external writes. Require human review before any real deployment.