The Challenge
A construction company needed to measure and optimize their environmental impact across their supply chain. They had millions of order lines and materials to analyze, but mapping these to carbon footprint data manually was slow and error-prone.
They needed an automated way to understand and reduce their carbon footprint while keeping their operations efficient.
Our Solution
95%
Accuracy in material mapping
Millions
Of order lines analyzed automatically
Real-time
Carbon footprint calculations
Clear
Pathways for sustainability optimization
We built an AI system that automatically maps construction materials to public carbon footprint databases, considering both material composition and transportation factors.
Project Insights
Key Features
Automatic processing of order lines
Material mapping to carbon databases
Transportation emissions calculation
Actionable sustainability insights
Technical Architecture
Vector database for material matching
Machine learning for classification
Automated data enrichment pipeline
Real-time calculation engine
