A powerful AI technique to drive optimal business decisions and outcomes using the power of math
What is Mathematical Optimization?
Complements Machine Learning
Mathematical optimization can be used to quickly address a wide variety of complex problems, and complements other AI techniques like machine learning to enrich the analytics toolbox. Operations Research groups, have been applying mathematical optimization for decades to support complex challenges in the field of supply chain planning, manufacturing, energy modeling and logistics. Nowadays, a growing group of analytics teams and data scientists are adopting mathematical optimization to support business decision-making across a wide range of industries.
AIMMS low-code platform
Driven by our purpose, we believe that every organization should have access to the power of mathematical optimization. That is why we empower regular business users (decision-makers) to analyze scenarios through a highly interactive user interface, while developers can build, deploy and maintain models and applications the low-code way. AIMMS is considered to be a prescriptive analytics technology.