Vidora is excited to share our Quarterly Report for Q1, 2018. It discusses how machine learning can help eCommerce companies with predicting customer purchase behavior. 

For any eCommerce company, being able to predicting who will purchase, when they will purchase and what they will purchase is a difficult task. But as ML has matured, businesses are now able to be more targeted, more sophisticated, and more forward- looking. And while implementing ML in your organization is a complex process, the rewards of having it are high.

In this quarterly report, we walk through the business problem of predicting purchase behavior, the technical steps you need to go through to implement ML to predict purchase behavior in your business, and how Vidora has been able to help businesses accomplish this quickly and easily with our Cortex platform.

Download a copy of our Q1 Quarterly Report here!

About Vidora

Vidora enables anyone in any business to build and use complex machine learning models. With Vidora’s self-service platform, Cortex, machine learning is intuitive, interpretable and fast. Cortex also automates the entire machine learning pipeline from raw data to model outputs, and the Items API is an important component of that. Experts in machine learning and artificial intelligence from Stanford, Berkeley and Caltech developed Cortex. Finally, Cortex sits at the heart of some of the largest global brands, such as Walmart, News Corp, and Discovery.

Want to Learn More?

Schedule a demo and talk to a product specialist about how Vidora’s machine learning pipelines can speed up your ML deployment and ultimately save you money.