A Powerful Synthesis of Theory and Practice

At Phylleos, we understand that our clients operate in a dynamic world, and so do we. We are committed to providing practical solutions to real-world challenges, ensuring they are economically viable and organizationally feasible.

We are a team of explorers and storytellers at heart. Our innovative methods leverage cutting-edge technology to provide deeper insights, ultimately helping our clients achieve clarity and confidence.

Case Study: Analyzing the Economic Sensitivity of Alternative Tax Policies

Challenge: A global advisory organization sought to understand the revenue and economic implications of various tax policies under different assumptions. Key areas of focus included labor supply impacts, macroeconomic feedback, and the costs associated with public debt accumulation.

Solution: Using advanced economic modeling techniques, we conducted sensitivity analyses on critical variables such as labor supply elasticity and debt-financing assumptions. The approach incorporated "what-if" scenarios to explore potential trade-offs between economic growth and fiscal sustainability, alongside tailored simulations for specific revenue sources.

Outcome: Our analysis highlighted the dynamic interplay between tax rates, economic growth, and fiscal health. The insights provided a foundation for strategic discussions, enabling stakeholders to evaluate policy options with a focus on long-term implications. Deliverables included comprehensive reports and engaging narratives designed for both technical and general audiences.

Case Study: Mapping Carbon in Global Supply Chains

Challenge: A leading climate-focused organization sought to expand its understanding of carbon flows in multi-country, multi-product supply chains. They required a dynamic database to track changes over time and identify the drivers of embedded carbon content in trade.

Solution: We developed a robust, scalable framework to create a dynamic database of carbon intensity across 65 countries and 35 product categories. By integrating new data sources and reconciling older datasets, we established a foundational time-series database. This allowed for detailed analysis of how emissions policies, production technologies, and global trade patterns influence carbon flows.

Outcome: The resulting database equipped stakeholders with tools to track and analyze carbon content in global supply chains. This enhanced their ability to forecast risks, align with carbon pricing mechanisms, and develop informed strategies for decarbonization. The project set a new standard for actionable insights in carbon supply chain analysis.

Our Solutions:

  • Scenario Modeling: Develop customized models to analyze geopolitical and economic scenarios, assessing potential impacts on markets, supply chains, and investments.

  • Probabilistic Forecasting: Utilize advanced algorithms to predict the likelihood and impact of geopolitical events, providing a quantitative basis for strategic planning.

  • Model-as-a-Service (MaaS): Offer clients the ability to interact directly with our models, inputting their own data and assumptions to explore tailored scenarios.