Create an Emission Forecasting Model

The client aimed to support its corporate clients in achieving net-zero carbon emissions by creating a comprehensive emissions forecasting model to provide loans tailored to sustainability initiatives.

1. Solytics leveraged NIMBUS Uno, their proprietary Advanced Analytics platform, and developed an emissions forecasting model using machine learning (ML) algorithms to predict future emission trends based on historical data.
2. The model informed the client of their current emission trend trajectory and the changes required toalign with Net Zero Pledge Goals.
3. Recommended designingloan products that incentivize sustainability initiatives.
4. Identified and mitigatedrisks associated with loan portfolios, especially those tied to environmentalregulations and market shifts.
5. Provided detailedreports and insights to corporate clients.

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• Increased revenue from tailored loan products.
• Enhanced reputation and market positioning as a leader in sustainable finance.
• reductions inSignificant reductionsin carbon emissions across the loan portfolio contributing to global sustainability goals.
• Improved efficiency in loanprocessing and risk assessment through data-driven decision-makingcontribute.