Effective cross selling has become a challenge for retail and e-Commerce companies, especially in enhancing their growth potential from their existing customer base. With the help of Market Basket Analysis companies can use historical transaction data to predict the best combinations of products that are frequently bought by customers.

In this video you will see how we have use Machine Learning Models (FP - Growth - An Apache Spark ML Library) which was built using IBM Watson Studio to help in identifying relationships among customer purchase activities.

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