IBM Decision Optimization

IBM Decision Optimization is a suite of software that delivers prescriptive analytics capabilities to enhance decision-making and improve business outcomes. It offers additional deployment flexibility by running on IBM Cloud Pak for Data, a containerized data and AI platform.

Featured Products

• IBM ILOG CPLEX Optimization Studio: This tool accelerates optimization modeling using an integrated development environment, powerful optimization solvers, and support for multiple optimization modeling approaches.
• IBM Decision Optimization for IBM Watson Studio: This product combines optimization and machine learning within a unified environment that provides AI-infused optimization modeling capabilities.
• IBM Decision Optimization Center: This platform allows building and deploying end-to-end decision support applications using a GUI, collaboration tools, “what-if” analysis, application data model support, and flexible deployment architecture options.
• IBM CPLEX Optimizer for IBM z/OS: This tool uses the IBM CPLEX Optimizer engine on IBM z/OS to solve mathematical programming models such as MIP/MIQCP with C and C++ API for modeling.

Use Cases

1. Financial: Simplifies complex decisions for precise and timely delivery of financial services.
2. Travel and transportation: Helps prepare for unforeseen circumstances more accurately, shortens overall travel time, and improves the customer experience through route optimization.
3. Manufacturing: Reduces uncertainty when met with constantly changing production conditions and optimizes outcomes.
4. Retail: Streamlines retail processes.
5. Healthcare: Reduces costs using prescriptive techniques to evaluate millions of “what-if” scenarios to assess impact.
6. Energy and utilities: Improves resource planning and scheduling, reduces or eliminates penalties, and drives better business outcomes with smart grid utilization.

Customer Success Stories

• ÇimSA: Used optimization software from IBM to run complex “what-if” scenarios quickly, optimizing business decisions to improve customer service and reduce costs.
• Accelerate manufacturing process with prescriptive analytics: Decision Optimization models help reduce the clay-bending process from days to seconds.
• FleetPride: Transformed its supply chain management with analytics, moving faster and spending less.

Additional Resources

IBM offers a range of resources to support the use of Decision Optimization, including community support, technical validation, and a suite of guides and briefs for better decision-making processes.

To get started with Decision Optimization, IBM offers a quick start tutorial and the opportunity to book a meeting with an IBM expert to discuss how optimization software can help deliver improved business outcomes.