The case study "Bucking the Odds: An Investor Approach to Portfolio Pricing" highlights the challenges manufacturers face with traditional index-based pricing in volatile markets. It advocates for a portfolio-based approach, similar to investment strategies, to better manage risks and optimize returns. By using predictive scenario modeling and data-driven decision-making, manufacturers can create dynamic pricing strategies that adapt to market changes, potentially improving return on sales by 2-4%. The approach involves integrating AI, optimizing contract terms, and fostering agile teams to enhance pricing effectiveness and profitability.

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