Alteryx Case Studies The History and (Data) Science of Commerce

Edit This Case Study Record

	The History and (Data) Science of Commerce Alteryx

The History and (Data) Science of Commerce

Alteryx

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	Hush has transformed their push notifications with real-time machine learning, creating models that constantly refine their understanding of user preferences and customize the user experience accordingly.
Impact #2	The company has seen a 3x increase in sales from this use case alone.
Impact #3	With Alteryx, Hush's data science team can spend their time doing what they love, rather than worrying about whether their models will ever see the light of day.

Impact #1

Hush has transformed their push notifications with real-time machine learning, creating models that constantly refine their understanding of user preferences and customize the user experience accordingly.

Impact #2

The company has seen a 3x increase in sales from this use case alone.

Impact #3

With Alteryx, Hush's data science team can spend their time doing what they love, rather than worrying about whether their models will ever see the light of day.

Benefit #1	3x increase in sales from the use of Alteryx

Benefit #1

3x increase in sales from the use of Alteryx

Download PDF Version

Overview

The History and (Data) Science of Commerce

Operational Impact

Quantitative Benefit