Mathematical Optimization & Machine Learning
Mathematical optimization complements machine learning-based predictions by optimizing the decisions that businesses make. It allows firms to model the key features of a complex real-world problem that must be considered to make the best possible decisions and provides business benefits.
“With Al and ML adoption on the rise, Mathematical Optimization is poised to become the decision-making executor for ML solutions that involve precious enterprise resources.” —Forrester
LityxIQ Target Uses for Optimization
- Operational applications
- Business processes
- Resource optimization
Supply chain planning
LityxIQ Business Deliverables
As part of the ongoing effort to bring on new members, the Alternative Marketing team at AARP had a lengthy, complex, and arduous monthly campaign selection process due to the use of multiple channels with geographic, supplier, audience, and budget requirements and targeting options. Learn how Lityx helped create an over 90% improvement in acquisition rates at a lower cost-per-acquisition and more.
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