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IBM Watson Helps Consumers Shop

by Robert Hetu  |  December 4, 2015  |  2 Comments

Don’t miss out on those hot items for Christmas! The IBM Watson Trend App has launched for smart phones, marking a first use of smart machines to directly interact with consumers during the shopping process. On November 18th it predicted that Lego Friends mini figures for girls will run short, predicting this with certainty.  As of today its still hot and available. It reminds me of days past where I was searching for a Chu Chu doll for my daughter. After scouring the malls I was about to give up. When what did I spot there on the floor hidden behind the cashier counter? Yes, it was the very thing I was looking for. Not that I am proud of it but when the cashier was distracted I reached behind the counter, grabbed up the doll, and went to a different cashier to checkout. If only I had an app, or a smart phone, or the internet back then.

Tracking the trends in the tech, toys and health categories each entry has details  and social commentary about trending products and links to Facebook and Twitter.


watsonWatson graph

More than just tracking trends the app also offers a “Buy Now” button that opens Google Shopping.

watson google

 

Regardless of the success of the app this is another step toward more advanced social shopping enabled by smart machine technology.   Retailers must start to partner with smart machine providers to take full advantage of the shift in customer shopping behavior.

 

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Category: retail-trends  smart-machines  technology-and-emerging-trends  

Tags: analytics  consumers  customer-analytics  customer-centricity  ecommerce  facebook  infocentricity  retail  social-media  trends  twitter  

Robert Hetu
VP, Analyst Retail
7 years at Gartner
29 years IT Industry

Bob Hetu is a Research Director with the Gartner Retail Industry Services team. His responsibilities involve tracking the technology markets and trends impacting the broad-based retail merchandising and planning areas. Mr. Hetu is an expert in the areas of brand, vendor and assortment management, merchandise planning, allocation, and replenishment. Read Full Bio


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