Carbon-Aware Tender Engine

The engine evaluates carrier bids against a weighted scorecard that combines price, transit time, and predicted carbon emissions. Unlike traditional procurement tools that optimize solely on cost, this system applies an Internal Carbon Price to monetize emissions, calculating a Carbon-Adjusted Total Cost of Ownership (TCO) for each bid.

• Weighted formula: Score = (w1 × Cost) + (w2 × Time) + (w3 × CO2e)
• Dynamic weighting: Sustainability managers can adjust emission weight per lane or season
• Shadow pricing: Applies a dollar value per ton of CO2e to normalize emissions into financial terms

At the core of the tender engine is a managed database that automatically selects the correct CO2e conversion factor for each bid. The system ingests carrier-submitted activity data—mode, fuel type, vehicle class, load factor, and distance—and matches it to the most granular emission factor available, following the GLEC Framework and ISO 14083 protocol.

• Mode-specific factors: Distinct factors for air freight, ocean, rail, and truck (by weight class)
• Well-to-Wheel scope: Accounts for fuel production and combustion emissions
• Default fallback logic: Uses industry averages when carrier-specific data is unavailable

The engine proactively identifies lanes where a modal shift from air or road to rail, barge, or ocean would yield significant emission savings at an acceptable cost and time penalty. It calculates the emission abatement cost for each opportunity and surfaces it to procurement teams.

• Threshold triggers: Flags lanes where CO2e reduction exceeds a configurable percentage
• Cost-abatement curve integration: Ranks opportunities by cost per ton of CO2e avoided
• Service level guardrails: Ensures modal shift recommendations do not violate delivery windows

Beyond individual bids, the engine maintains a dynamic carrier sustainability score based on historical performance. It tracks each carrier's actual versus promised emissions, fuel efficiency trends, and adoption of low-carbon technologies, creating a reputation metric that influences future tender awards.

• Actual vs. estimated variance: Penalizes carriers that underreport emissions
• Fleet modernization tracking: Rewards investment in electric or alternative-fuel vehicles
• Audit trail: Maintains immutable records for Carbon Data Provenance and compliance reporting

Procurement teams can run parallel tender simulations with different carbon price assumptions, modal constraints, and carrier pools. The engine outputs a Carbon Abatement Curve that visualizes the trade-off between emission reduction targets and total logistics cost, enabling data-driven sustainability budgeting.

• Internal carbon price sensitivity: Models outcomes at $50, $100, and $200 per ton CO2e
• Constraint modeling: Tests scenarios like 'no air freight' or 'rail-only corridors'
• Science-Based Target alignment: Validates if tender outcomes align with SBTi decarbonization trajectories

Every tender decision is recorded with a complete emission inventory boundary and methodology trail. The engine generates Scope 3 Category 4 (upstream transportation) reports compliant with the GHG Protocol, ISO 14083, and CDP disclosure requirements, ready for third-party assurance.

• Granular attribution: Emissions assigned to specific lanes, carriers, and purchase orders
• Mass balance tracking: Supports certified sustainable fuel claims via chain-of-custody accounting
• API export: Feeds directly into corporate sustainability platforms and CDP reporting