What can IBM CPLEX Optimizer do for business?

Model business issues mathematically and solve them with powerful algorithms from IBM® CPLEX® Optimizer, which can produce precise and logical decisions. The mathematical programming technology of CPLEX Optimizer enables decision optimization for improving efficiency, reducing costs and increasing profitability.

CPLEX Optimizer provides flexible, high-performance mathematical programming solvers for linear programming, mixed integer programming, quadratic programming and quadratically constrained programming problems. These solvers include a distributed parallel algorithm for mixed integer programming to leverage multiple computers to solve difficult problems.

Find the best solution from among billions of alternatives for business decisions, such as:

  • What is the best plan for my factory to meet the demand for finished products, while minimizing machine setup costs and factoring in scheduled arrivals of raw materials?
  • How can I assign marketing campaigns to customers around their propensity to respond, and maximize expected purchases, while managing budget constraints?

Benefits of CPLEX Optimizer

Robust algorithms

Get the power needed to solve large, real-world optimization problems, and the speed required for today's interactive decision optimization applications. CPLEX Optimizer has solved optimization models with millions of constraints and variables.

CPLEX Optimization Studio interfaces

Build and deploy optimization applications using interfaces like ILOG® Concert Technology and CPLEX Callable Library.

IBM ILOG CPLEX Optimizer performance benchmarks

Read about performance improvements with CPLEX mathematical programming and constraint programming solvers.

Fast, automatic restarts

Modify linear programs can be modified, then solve again, in a fraction of the original solution time. Mixed-integer programs can be modified and solved, starting from a pool of prior solutions.


IBM ILOG CPLEX Optimization Studio

Optimize your business decisions, develop and deploy optimization models quickly and determine the best course of action to improve planning and scheduling outcomes.

IBM Decision Optimization for Watson Studio

Combine optimization techniques with other data science capabilities in IBM Watson® Studio to drive reliable business decisions.

IBM Decision Optimization Center

Build, deploy and use optimization-based decision-making applications for the enterprise.

IBM Decision Optimization in Watson Machine Learning

Solve complex optimization problems by using optimization engines deployed on the cloud with this easy-to-use, self-service solution.

IBM ILOG CPLEX Optimizer for z/OS

Use CPLEX Optimizer with C and C++ APIs to model and solve mathematical optimization problems like MIP/MIQCP.

IBM Watson Studio Premium for IBM Cloud Pak for Data

Take advantage of decision optimization capabilities in IBM Cloud Pak® for Data.


Client stories

Learn how optimization delivers cost savings for IBM clients.

Multi-objective modeling in CPLEX

Solve multi-objective problems with CPLEX: Hierarchical, blended or combinations of both.

Optimization modeling with Python

Create and run an optimization model in Python. Experiment with the docplex Python API.

IBM ILOG CPLEX Optimization Studio brief

Read how CPLEX Optimization Studio uses powerful modeling tools to convert a business problem to a
mathematical model and then solve it..

Linear programming technology

Learn how you can use CPLEX Optimizer for linear programming.

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