The History and (Data) Science of Commerce
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Hush App
- Alteryx
Tech Stack
- Python
- Data Science Models
- Mobile App Development
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Revenue Growth
- Customer Satisfaction
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- E-Commerce
- Retail
Applicable Functions
- Sales & Marketing
- Business Operation
Use Cases
- Predictive Replenishment
- Retail Store Automation
Services
- Data Science Services
- Software Design & Engineering Services
About The Customer
Hush is a top social commerce app in the United States, focused on bringing the social aspect of shopping to the digital world. The company believes that shopping is a social experience and that many purchases are experiential and emotional. This is particularly true for beauty products, which is Hush's focus. The company has invested heavily in becoming a mobile-first online retailer, using insights about users' product tastes and shopping preferences to curate the in-app experience of each customer. Hush has built a proprietary social feed directly into their app, which is updated constantly based on user behavior.
The Challenge
The rise of e-commerce has led to the closure of many brick-and-mortar stores, with Americans spending over $400 billion a year online. However, the online shopping experience is largely transactional, lacking the human interaction and emotion that comes with physical shopping. Hush, a top social commerce app in the United States, aims to bring the social aspect of shopping to the digital world. The company believes that shopping is a social experience and that many purchases are experiential and emotional. This is particularly true for beauty products, Hush's focus, where people want to interact and talk with like-minded individuals about what they're buying.
The Solution
Hush has invested heavily in becoming a mobile-first online retailer, using insights about users' product tastes and shopping preferences to curate the in-app experience of each customer. The company has built a proprietary social feed directly into their app, which is updated constantly based on user behavior. Behind Hush’s app and social feed, dozens of data science models are running 24/7, providing users with personalized product recommendations, customized discounted bundles, and interactive reward opportunities. These models are deployed and managed using Alteryx. The platform allows the data science team to embed their predictive models, built using Python, into the mobile app without having to rewrite them into a back-end web-application language.
Operational Impact
Quantitative Benefit
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