Challenge Area:
Carbon emissions monitoring.

Problem Statement:
Small and medium enterprises (SMEs) lack tools to track and reduce their carbon footprint.

Solution Concept:
Build an AI-based carbon accounting tool that analyzes operational data (e.g., energy use, transport) to provide actionable emission reduction strategies.

Expected Impact:
Cut emissions by 15% for 1,000 SMEs.

Next Steps:
Collect SME operational datasets, develop machine learning models, and create a user dashboard.

Challenge Area:
Carbon Emissions

Problem Statement:
Businesses struggle to track and reduce carbon footprints due to complex supply chains.

Solution Concept:
Create an AI-driven carbon tracking tool using supply chain data and predictive modeling to suggest emission reductions. The PoC ensures data quality for supply chain datasets and includes performance metrics for scalability.

Expected Impact:
Cuts emissions by 10% for 1,000+ businesses.

Next Steps:
Add blockchain for transparency, integrate with ERP systems, and enhance reporting features.