Build a Product Recommendation Engine and Revenue Dashboard with PixieDust

An example of a same-day grocery delivery service is used to show you how to use Watson Studio to:

1. Explore and analyze customer behavior information (such as demographics and shopping cart values)
2. Build a machine learning recommendation engine to encourage additional purchases based on past buying behavior
3. Build a revenue dashboard

IBM Cloud and open source tools and services, including Jupyter Notebooks, Apache Spark, Apache Kafka, Streams Designer, Watson Machine Learning and IBM Cloud Object Storage.

Before you start

Sign up for an IBM Cloud account.

Parts

• Part 1: Static data analysis using Python, Apache Spark and PixieDust
• Part 2: Build a product recommendation engine
• Part 3: Build a revenue dashboard using PixieApps

Credentials