River Logic: Value Chain Optimization Solution

di River Logic

Solution allows businesses to solve complex end-to-end supply chain decisions, including financials.

River Logic is a global leader in supply chain strategy and planning, helping companies across a wide range of industries resolve complex, cross-functional trade-off decisions while optimizing key objectives like growth, margin, service levels and more.

The foundation of River Logic’s technology is a Digital Planning Twin™, which helps companies easily, quickly, and thoroughly assess a truly end-to-end set of scenarios, not only including the full value chain but also product portfolio, sustainability targets, and the financial impact in terms of profitability, and the ability to finance the operation. The Value Chain Optimization (VCO) Solution is a comprehensive solution designed to quantify and optimize the full potential of current and future networks. It expands the scope of network design beyond the traditional transportation and logistics focus to provide insights that ensure supply chain strategy aligns financial and sustainability corporate objectives. The technology allows companies to connect strategic and tactical decisions, to make faster, better, and real optimization decisions around Business Continuity, Infrastructure Strategy & Capacity Planning, Sustainability, Network Design, Supply/Inventory Planning, Customer and Product Profitability, Production Planning, or short-term applications such as order allocation and Production Planning & Scheduling.

River Logic’s customers range from Industrial materials to CPG, Food & Beverage, Manufacturing, Pharmaceuticals, Agribusiness, and more.

River Logic uses Azure Service Fabric to provide the elastic compute capabilities, Azure SQL Server as the data backbone, Azure Active Directly as the highly secure identity management and Power BI Embedded to provide the data visualizations and analysis with the River Logic application experience. Data integration is provided through Azure Data Factory and integration with Azure ML provides the ability to blend predictive analytical models

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