Product Profitability Optimization Software Integrated Business Planning Delivers a Unique Combination of Profitability and Process Modeling to Maximize Product Performance
Isolated decision-making is the number one killer of product profitability; it limits understanding and prevents decision-makers from conducting effective “what-if” scenarios.
Without a platform for holistic decision-making, managers struggle to understand the interdependent relationships of their products within the supply chain. Without understanding the true financial impact of the product mix, managers cannot align and optimize activities that deliver the greatest value to the organization.River Logic’s Product Profitability Optimization Solution, built on constraint-based modeling technology and Enterprise Optimizer® | Server 2008, delivers capabilities that significantly improve the profitability of a company’s product portfolio. The Product Profitability Optimization graphic represents the holistic approach to product profitability. As indicated by the colored circles and text, Enterprise Optimizer (EO) enables companies to simultaneously balance decision-making while considering the unique perspective of each department and product line. This example also includes a range of decisions, resulting from an EO “solve.” In the center are the diamonds that generate the highest return. For optimum performance, products in this category should be heavily promoted in order to expand the segment. The overlapping gold areas indicate a different requirement for product profitability optimization, which includes price increases, channel changes, and the adoption of co-packers.EO | Server 2008 can conduct and compare “what-if” scenarios. This enables decision-makers to solve product-related models using a variety of objective functions, including net income, cash flow, and NPV. River Logic’s Approach River Logic’s Integrated Business Planning (IBP) system optimizes product profitability, incorporates activity-based costing, constraint-oriented process modeling, and comprehensive financial modeling to provide:
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Without a platform for holistic decision-making, managers struggle to understand the interdependent relationships of their products within the supply chain. Without understanding the true financial impact of the product mix, managers cannot align and optimize activities that deliver the greatest value to the organization.
This example also includes a range of decisions, resulting from an EO “solve.” In the center are the diamonds that generate the highest return. For optimum performance, products in this category should be heavily promoted in order to expand the segment. The overlapping gold areas indicate a different requirement for product profitability optimization, which includes price increases, channel changes, and the adoption of co-packers.