IBM Decision Optimization is a suite of software that enhances decision-making and improves business outcomes by providing prescriptive analytics capabilities. It runs on IBM Cloud Pak for Data, a containerized data and AI platform. The featured products include IBM ILOG CPLEX Optimization Studio, IBM Decision Optimization for IBM Watson Studio, IBM Decision Optimization Center, and IBM CPLEX Optimizer for IBM z/OS.

Features:

• Integrated development environment
• Powerful optimization solvers
• Support for multiple optimization modeling approaches
• Unified environment for optimization and machine learning
• GUI, collaboration tools, "what-if" analysis, application data model support, and flexible deployment architecture options

Benefits:

• Simplifies complex decisions
• Accurately prepares for unforeseen circumstances
• Shortens overall travel time
• Improves customer experience
• Reduces costs
• Streamlines retail processes
• Assesses impact of prescriptive techniques on resource planning and scheduling
• Drives better business outcomes with smart grid utilization

Use Cases:

• Financial services
• Travel and transportation
• Manufacturing
• Retail
• Healthcare
• Energy and utilities

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.
• Decision Optimization models helped reduce the clay-bending process from days to seconds in manufacturing.
• FleetPride transformed its supply chain management with analytics, moving faster and spending less.

Additional Resources:

• Community support
• Technical validation
• Guides and briefs for better decision-making processes
• Quick start tutorial
• Meeting with an IBM expert to discuss how optimization software can help deliver improved business outcomes.