
Prescriptive analytics to optimize complex business decisions at scale
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IBM Decision Optimization is a family of prescriptive analytics products that combines mathematical programming (linear, mixed-integer, and constraint programming) with AI and machine learning techniques to help organizations make optimal decisions across operational, tactical, and strategic planning scenarios. It includes IBM ILOG CPLEX Optimization Studio—an integrated development environment with powerful CPLEX and CP Optimizer solvers—and IBM Decision Optimization for Watson Studio, which integrates with IBM Cloud Pak for Data. The platform enables decision-makers to choose the best course of action from millions of alternatives involving complex constraints, trade-offs, and objectives, with applications in supply chain, scheduling, logistics, finance, and manufacturing.
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