Move from Estimated Emissions
to Real-time Execution Truth

Execution-grade emissions data is calculated from actual shipment execution, not from modeled averages or carrier-reported estimates. VesselBot captures real-world operational inputs such as vessel movements, routes, transshipment paths, utilization rates, and mode-specific conditions at the shipment level across all transport modes. This produces emissions data that reflects operational reality, supports audit-ready reporting, and enables organizations to identify and act on real decarbonization opportunities.

Most emissions calculations based on averages are inaccurate because they do not reflect what actually happened during each shipment. Industry-average methodologies use generalized assumptions about routes, distances, load factors, and fuel consumption, which ignore real-world variations such as actual routing, transshipments, delays, and utilization. As a result, they produce estimates that can significantly deviate from actual emissions and cannot support precise reporting or operational decision-making.

A digital twin is a virtual replica of a physical asset that is continuously updated with real-world operational data to model how it performs in practice. In freight emissions, VesselBot uses digital twins of vessels, aircraft, and ground transportation assets, enriched with data such as routes, speeds, utilization, and operating conditions. This allows emissions to be calculated based on actual shipment execution rather than industry averages, so every calculation reflects the specific conditions of each shipment.

VesselBot calculates ocean freight emissions using digital twins of individual vessels, based on actual voyage execution rather than trade-lane averages. Each digital twin incorporates vessel characteristics such as size, type, fuel, and engine specifications, combined with real journey data including routes, speeds, port operations, and anchorage times. AIS satellite data tracks vessel movements across global ports, ensuring each calculation reflects the specific conditions of that shipment.

VesselBot calculates air freight emissions using digital twins of individual aircraft, based on actual flight execution rather than averaged factors. Flight data is captured via ADS-B satellite tracking and linked to specific shipments using identifiers such as flight number or airway bill, then combined with aircraft performance characteristics, real routes, and load factors. This enables flight-specific emissions calculations that reflect actual operating conditions for each shipment.

VesselBot calculates ground transportation emissions using mode-specific data for road, rail, and parcel operations, based on actual execution rather than standardized assumptions. For road, it integrates directly with telematics providers to capture fuel consumption, cargo weight, utilization, and routes across FTL and LTL operations. For rail, it tracks performance across commercial rail networks, incorporating locomotive types, cargo loads, and railway segments. For parcel, it measures emissions at the package level across each shipment leg using carrier fleet data, network design, and utilization rates.

Shipment-level accuracy matters because emissions data must reflect actual execution to support operational decisions, not just reporting. When emissions data is based on averages, logistics teams cannot act on it, sustainability teams cannot defend it, finance teams cannot trust it, and procurement teams cannot use it in negotiations. Execution-grade emissions data enables organizations to identify carrier performance differences, reveal consolidation opportunities, calibrate carbon credit purchasing to actual emissions, and support AI-driven network optimization.

VesselBot meets global emissions reporting standards by providing audit-ready, traceable data aligned with leading regulatory frameworks. It is Smart Freight Centre (SFC) accredited in compliance with the GLEC Framework, aligned with ISO 14083, and supports reporting under CSRD, ESRS E1, CBAM, CDP, and the GHG Protocol. Every figure is traceable to actual shipment execution data, providing the transparency and granularity required by regulators and auditors.

VesselBot's emissions calculation methodology is different because it is built on execution-grade, shipment-level data derived from actual transport execution rather than industry averages. It combines real-world data sources such as AIS, ADS-B, telematics, and carrier Track & Trace with Digital Twin models of vessels and aircraft to calculate emissions based on actual routes, speeds, loads, and operating conditions. This produces calculations that reflect operational reality, enabling accurate reporting and allowing organizations to evaluate and act on trade-offs across cost, service, and carbon.