AI-Powered Supply Chain Emission Factor Prediction Web App
The Supply Chain Emission Factors with Margins Predictor is a machine learning-powered web application.This project develops a predictive model to estimate emission factors within supply chains, a crucial step for quantifying environmental impact.
- Develops a predictive model for emission factors in supply chains.
- Aims to accurately quantify the environmental impact of supply chain activities.
- Utilizes XGBoost, a robust machine learning algorithm, for prediction.
- Identifies emission hotspots and facilitates data-driven decisions for reduction.
- Supports the achievement of sustainability goals and responsible supply chain management.
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Launch WebApp