A Digital Use Case for Retailers –

Leverage Machine Learning to Better Understand What Customers Want

In retail, product designers rely on experience and intuition, merchants use instinct to pick new items, and sourcing teams leverage their experience and relationships to identify new suppliers.

But what if these instincts could be shaped by reason and analysis?

At LiveWorx 2017, Kalypso's use case showed how to use ThingWorx Analytics to turn social content into data, and combine it with information about web and store traffic, sales and returns to see patterns and immediately act on them.

Kalypso can help you use machine learning to blend what you hear with what you know to make truly informed decisions. Analyze PLM product data, transactional data from sales and returns, and external data from additional sources like social media, fashion blogs and other websites, in order to identify opportunities to better meet customer needs and wants.

Brief Overview


 

Use Case Overview

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Contacts

Steve Riordan

Steve Riordan

Sonia Parekh

Sonia Parekh

Chad Markle

Chad Markle