Net Zero Compare
TRACE by Greensee.ai

TRACE by Greensee.ai

by Greensee.ai

AI-driven emissions tracking for supply chain sustanability

Updated by Onye Dike on August 16th, 2025
TRACE by Greensee.ai is an AI routing and emissions intelligence tool for multimodal logistics. Designed for shippers, logistics service providers, carriers, and port-centric teams, it helps select routes that balance time, cost, and carbon and then evidence those choices against recognized standards. TRACE pairs precise geospatial context from Greensee’s ecosystem with standardized CO₂ estimation to compare road, rail, sea, and air options leg by leg. For organizations targeting IMO 2030 and supplier reporting, TRACE turns routing into a compliance-ready decision process, supporting practical modal shifts and measurable Scope 3 improvements, with real-time insights for execution.

Available Carbon Accounting Features

AI-Powered Insights for Optimization
Carbon Footprint Calculation
Compliance Reporting
Data Import/Export
Scenario Analysis for Emissions Reduction
Scope 3 Emissions Tracking

Missing Carbon Accounting Features

Audit Support
Benchmarking & Peer Comparison
Carbon Credit Trading
Carbon Offset Tracking
Carbon Pricing
Cost Tracking
Customizable Dashboards
Customizable Reporting Templates
Emissions Factor Database
Emissions Forecasting
Goal Setting & Tracking
Integration with IoT Sensors
Lifecycle Assessment
Multi-Site Support
Real-Time Monitoring (non-energy)
Risk Assessment & Scoring
Scope 1 Emissions Tracking
Scope 2 Emissions Tracking
Supply Chain Emissions Hotspot Identification
Target Setting & Tracking
Tax and Incentive Management

Pricing

Starting Price
No data available
Options
No data available

Available Since

January 2022

Deployment Options

No data available

Good Option For

  • Medium Business (51-250 people)
  • Large Business (250+ people)

Deep dive


Core Features

TRACE estimates shipment CO₂ on a well-to-wheel (WTW) basis and is accredited by Smart Freight Centre for the GLEC Framework (aligned with ISO 14083). This supports consistent, per-leg calculations across modes for decision-grade reporting.

Below are core capabilities that teams typically deploy first:

  • AI route optimization — Plans routes with AI to cut delays, costs and emissions, helping teams meet operational and sustainability targets (e.g., IMO-aligned goals).

  • Route comparison — Side-by-side evaluation of options showing CO₂, number of shipment legs and transit times, so planners can trade off speed, cost and carbon with evidence.

  • Multi-modal CO₂ estimation — Calculates emissions across road, rail, sea and air with precision, enabling like-for-like comparisons for door-to-door moves.

  • Route-deviation detection & alerts — Detects when assets stray from plan and triggers real-time notifications; geofencing at terminals supports quick intervention and rerouting to minimize delays and knock-on emissions.

  • API-first integrations (GEOCE, AWS) — Plug-and-play APIs and geospatial services (e.g., GEOCE’s OSM-based classification and endpoints) make it straightforward to embed TRACE in existing stacks; partners include AWS.

Closing Insights

Users of TRACE include logistics global market leaders like Dockflow and SeaCube who rely on the platform for container-level carbon reporting and reduction solutions. The recent launch of GEOCE expands precise mapping beyond roads to rail and waterways, enriching the geospatial backbone that TRACE uses to compare legs and modes while Greensee’s new AI agent for CO₂ intelligence and predictive maintenance increases the reliability of inputs that inform routing choices. These, along with Smart Freight Centre accreditation for the GLEC v3 methodology add to confidence in TRACEs' capabilities.


Use TRACE by Greensee.ai as...