INTELLIGENT CATEGORIZATION OF PRODUCT RECOMMENDATIONS FOR ENHANCED CUSTOMER EXPERIENCE

Ladle Patel (~ladle)


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Description:

At Genpact we built product recommendation category engine which helped our client to avoid practical challenges in current product recommendation algorithms as either consumers ignore their recommendations or the sales team sees no value due to familiarity with the customer’s requirements and preferences from past experience.Our system intelligently categorises the recommendation generated by existing recommendations into three types of opportunities, viz. ‘Default’, ‘Linked’, and ‘Hidden’.‘Default’ opportunities are generic recommendations that are independent of customer’s past purchases.‘Linked’ opportunities are obvious recommendations that are easy to identify from past experience of the domain. ‘Hidden’ opportunities go beyond the ‘Default’ and ‘Linked’ opportunities, which even the sales team may not be aware of.

Prerequisites:

Python,Recommendation Engine,Market Basket Analysis.

Speaker Info:

Ladle Patel has 6+ years of experience with a focus in Machine learning, Big data and Deep Learning.

Speaker Links:

https://www.linkedin.com/in/ladlepatel/

Id: 1011
Section: Data science
Type: Talks
Target Audience: Advanced
Last Updated: