Carbon Reduction
Complete Carbon Visibility from Source to Delivery
Track, measure, and optimize CO₂ emissions at every stage of your supply chain with automated IoT sensors and intelligent analytics
Track emissions from raw material extraction, supplier facilities, and production processes.
Monitor energy consumption, refrigeration, and material handling equipment carbon output.
Real-time CO₂ tracking for all transport modes: trucks, ships, rail, and air freight.
Carbon Emission Reduced
Carbon Reduction
How It Works
More efficient to capturing carbon emission from entire process supply chain to reduces the carbon footprint
Deploy at Every Checkpoint
Each sensor automatically captures activity data, energy consumption, and movement patterns that contribute to carbon emissions.
Automated Data Collection
The system calculates CO₂ emissions in real-time using industry-standard carbon factors and vehicle-specific parameters.
Comprehensive Reporting
Track progress toward reduction goals, benchmark against industry standards, and produce audit-ready documentation for ESG compliance and stakeholder reporting.
AI-Powered Recommendations for Every Stage
Carbon Reduction Strategies
Manufacturing Optimization
Current Impact: 120 kg CO₂ per unit
Recommendations:
Potential Reduction: -50 kg (-42%)
Logistics Optimization
Current Impact: 125 kg CO₂ per shipment
Recommendations:
Potential Reduction: -118 kg (-94%)
Warehousing Optimization
Current Impact: 85 kg CO₂ per 1000 units
Recommendations:
Potential Reduction: -52 kg (-61%)
FROM BLOG
Our Latest Articles
Explore the insights and trends shaping our industry
RFID helped digitize the physical world for decades, driving automation, increasing inventory accuracy, and enabling the first wave of item-level visibility.
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Supply chains across the globe are becoming increasingly complex, competitive, and under the scrutiny of existing and developing regulation. To date, the guiding solution has been elementary: scan it.
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It’s not often that two synergistic, paradigm-shifting technologies mature at the same time, yet both generative artificial intelligence and the ambient Internet of Things are ascendant.
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