NRF Big Show 2016: Tastes, Trends, Touch Points – Understanding Shoppers Through Machine Learning


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I had the opportunity to co-present with Su Doyle from Checkpoint Systems at the NRF Big Show last week. It was a fun an effective collaboration that helped us highlight the benefits of capturing in-store and supply chain data using the RFID capabilities from Checkpoint and combining it with a variety of public, purchased and proprietary data to build Advanced Analytics models using Azure Machine Learning.

It’s not enough to just capture the data; it’s also important to understand what business questions the data will be used to answer. After data is captured and processed, machine learning techniques can be applied to the data to better understand patterns, correlations and to answer business questions. 

Here is a copy of the slides that we used for our conversation:

BigIdeasSession_v1


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