Case Study: Rubikloud achieves scalable AI-driven retail optimization with Microsoft Azure

Transforming the Global Retail Market with AI

Rubikloud, a Canadian medium-sized company founded in 2013, built a cloud-native machine-learning platform to help global enterprise retailers tackle the complexity of mass promotional planning and maximize customer lifetime value. Facing millions of influencing factors and a retail market demanding greater efficiency and speed, Rubikloud needed scalable, high-performance analytics that could run at enterprise scale.

By integrating Microsoft Azure Cloud Services and Azure HDInsight, Rubikloud gained elastic infrastructure to scale the heavy computations required for predictive math and machine learning. The outcome is a scalable platform that enables retailers to optimize promotions and lifetime-value decisions in near real time, transforming how they grow their business.

Rubikloud

Waleed Ayoub

Chief Product Officer