Customers buying from online megastores such as Amazon more often than not leave verbatim reviews, explaining their likes and dislikes about the brand or product in question. These reviews if mined can give a great insight into the user's mind.
The challenge, however, is the sheer number of reviews that a brand of Nike’s magnitude generates especially on a point of sale as popular as Amazon. Textual mining of these reviews although valuable, cannot warrant the resource drain in terms of money as well as time. A way of automating the process of feedback analysis is hence, the call of the hour.
A thorough analysis of over 100,000 Amazon reviews for a Nike T-Shirt was undertaken. The goal was to answer these key questions:
By leveraging the customer reviews on Amazon with ParallelDots’ AI-based solution
echoed the customer's voice. SmartReader undertakes a deep analysis and provides
targeted results which cannot be identified by conventional methods. In contrast to
typical tracking studies, which are limited to simply measuring satisfaction
levels, ParallelDots yields not only intelligence about the actual factors driving
satisfaction but also quantifies the extent to which each factor actually
influences satisfaction. An organization like Nike can use the insights generated
by ParallelDots to improve their product’s quality and create an effective
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