Case Study: Hush achieves 3× sales lift and instant ML model deployment with Alteryx

Hush - Customer Case Study

Hush is the top social commerce app in the U.S., built to recreate the emotional, social experience of browsing that traditional e-commerce often lacks. The company relied on dozens of Python-based predictive models to personalize feeds and push notifications but struggled to productionize those models for a mobile environment—resulting in generic, sometimes irrelevant messaging and a bottleneck between data science and engineering.

Hush adopted Alteryx to deploy and manage models as standard REST API endpoints, giving developers embeddable snippets and eliminating rewrites. Dynamic push-notification models were live in under ten minutes, personalizing experiences for more than 1 million users and driving a 3x increase in sales from this use case alone, while freeing the data science team to focus on modeling.

Hush

Laurence Wong

Vice President of Data Science