Why IBM Decision Optimization?

IBM Decision Optimization is a prescriptive analytics solution that enables organizations in commerce, manufacturing, financial services, healthcare, telco, government and other highly data-intensive industries to make better decisions and achieve business goals by solving complex optimization problems.

IBM Decision Optimization solutions provide features that help create optimization models either using general programming language APIs like Python, Java, or using OPL to solve the breadth of optimization models using proven and powerful optimization engines.

IBM Decision Optimization is an integral part of IBM Data Science Experience (DSX) so users can benefit from all data science features of DSX like access to machine learning models, the ability to pass output from predictive analytics to the Decision Optimization engine, access to open notebook features, visualization features and data connectivity options from the DSX platform.

Optimize machine learning decisions

IBM Decision Optimization for Data Science Experience helps data science teams capitalize on the power of prescriptive analytics within IBM Data Science Experience.

The solution lets teams combine optimization and machine learning techniques with model management, deployment and other data science capabilities to develop optimal solutions that   improve operational efficiency. Watch this webinar to learn how Decision Optimization complements Machine Learning techniques, evaluating millions of possibilities to find the best solution.

Key benefits

Powerful optimization engines for faster performance

Industry-leading CPLEX Optimizer engine and CP Optimizer engine can solve the breadth of optimization problems and can deliver results quickly.

Quickly build optimization models using your preferred language

Build models for scheduling use cases using innovative features like natural language processing. Create optimization models either using general programming language APIs like Python, Java or using  the optimization-specific Optimization Programming Language (OPL).

Access to more data science features

Decision Optimization is an integral part of IBM Data Science Experience (DSX) that provides access to a broader set of data science features including machine learning and predictive models.

Featured customer story

FleetPride transforms supply chain management efficiency with IBM Analytics

FleetPride achieves supply chain efficiencies by giving supply chain managers game-changing insights into operational data delivered using IBM CPLEX Optimization Studio.


IBM ILOG CPLEX Optimization Studio

Model business problems using mathematical and constraint programming. Solve with the leading IBM CPLEX Optimizers. Prescribe precise and logical decisions, plans, and schedules.

IBM Decision Optimization for Data Science Experience

Deliver business results by combining optimization with other data science capabilities on IBM Data Science Experience.

IBM Decision Optimization Center

Build, deploy and use optimization-based decision-making application for the enterprise. Includes data analysis and visualization, scenario management, collaborative planning, and what-if analysis.

IBM Decision Optimization on Cloud

Leverage advanced analytics and decision making optimization software on cloud to solve your most difficult planning and scheduling challenges.

IBM ILOG CPLEX Optimizer for z/OS

CPLEX Optimizer is available on z/OS with C and C++ API for modeling.  Leverage CPLEX engine on z/OS to solve mathematical programming models like MIP/ MIQCP.


Planning Analytics

Still taking a manual, trial-and-error approach to planning? Accelerate planning cycles and improve plan quality with Decision Optimization.

SPSS Modeler

You've predicted what is likely to happen, what's next? Decision Optimization can help you decide what action to take. 

Data Science Experience (DSX)

Leverage IBM's world-leading solution engines for mathematical programming and constraint programming where you solve your toughest data challenges.


Discover a better way to make reliable decisions

Utilize the power of decision optimization on IBM Data Science Experience

Solution Brief

Why IBM ILOG CPLEX Optimization Studio is the best choice for making decisions


Introduction to IBM ILOG CPLEX Optimization Studio.

Combine optimization and machine learning for business impact

Deliver optimal business decisions with machine learning and decision optimization

Customer Success Stories

New business models for energy companies using CPLEX Optimizer engine

IBM ILOG CPLEX Optimizer enables Greencom Networks to calculate optimal strategies to maximize energy efficiency.

Continental Tires prevents production bottlenecks

IBM Decision Optimization Center helps Continental Tires make smarter decisions about investments in their manufacturing network.

Training the next generation of operations researchers

West Point’s cadets use IBM prescriptive analytics technologies to model and solve highly complex problems, such as how best to secure the Academy’s food supplies and reduce its energy consumption.