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SAP and Gurobi Partnership
SAP Partners with Gurobi to Enhance and Expand Optimization Capabilities Across its Enterprise Application Software Suite
“Mathematical optimization continues to be an important cornerstone along with our accelerated investment into intelligent algorithms such as AI/ML."
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SAP and Gurobi
What is Mathematical Optimization?
Mathematical Optimization, also known as Mathematical Programming, can help to answer the question, “What should we do?” It turns a business problem into a math model and then finds the best solution out of trillions of possibilities. The result: Better business decisions that take less time to make and possible savings in the millions and billions of dollars.
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Learn more about mathematical optimization
Latest Insights
Optimization Impact
$7.3 Billion in revenue used to reduce the federal deficit.
Source: FCC Advancing wireless communications, INFORMS.org
20% Reduction in retail inventory by means of price reduction optimization.
Source: Blue Yonder Case Study
50% Reduction in supply chain planning time.
Source: ICRON Vestel Case Study
Optimization has delivered significant ROI across industries from financial services, utilities, retail, logistics, telecommunications and more.
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Solving Simple Stochastic Optimization Problems with Gurobi
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National Football League Scheduling
Computer Scientist
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Mixed-Integer Programming (MIP) – A Primer on the Basics
linear programming
Linear Programming (LP) – A Primer on the Basics
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Building a Business Case for Optimization
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optimization
Forrester Opportunity Snapshot – “Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team”
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Building a Business Case for Optimization
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How Optimization Modeling Creates Value for an Organization
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Six Life Lessons You Didn’t Learn From Your OR Program
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Operations Research Professional
Benchmarks
Use Benchmarks to Find the Best Solver for Your Needs
Gurobi
What’s New – Current Release
Required
Solving Simple Stochastic Optimization Problems with Gurobi
Case Studies
National Football League Scheduling
I'm a ...
Computer Scientist
Getting Started
Mixed-Integer Programming (MIP) – A Primer on the Basics
Getting Started
Linear Programming (LP) – A Primer on the Basics
Adopting Optimization in Your Organization
Building a Business Case for Optimization
Getting Started
The Gurobi Python Modeling and Development Environment
I'm a ...
Data Scientist
Getting Started
Level 1 – Introduction for Data Scientists
Getting Started
Level 2 – Resources for Beginners
Getting Started
Level 3 – Resources for Intermediate Users
Getting Started
Level 4 – Resources for Advanced Users
I'm a ...
Business Analyst
artificial intelligence
Forrester Opportunity Snapshot – “Mathematical Optimization and Machine Learning: Your Perfect AI Tech Team”
Adopting Optimization in Your Organization
Building a Business Case for Optimization
Adopting Optimization in Your Organization
How Optimization Modeling Creates Value for an Organization
Required
Adding Optimization to Your Data Science Analytics Toolbox
I'm an ...
Academic
Getting Started
Academia
Required
Gurobi Licenses and Resources for Academics
Required
Young Professionals License – Take Gurobi with You
Adopting Optimization in Your Organization
Six Life Lessons You Didn’t Learn From Your OR Program
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How We Stack Up
| Gurobi | |
|---|---|
| Speed | Up to 50% faster than the closest competition |
| Robustness | Tested on a wide range of difficult problems from many industries |
| Support | Responsive PhD-Level Support with 4.7 out of 5 rating |
| Licensing | Flexible plans available |
| Upgrade Schedule | Frequent Upgrades |
| Free Tuning | Available |
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