IBM's Watson predicts trends for Black Friday

IBM (NYSE: IBM) predicts online sales will grow by more than 14.5 percent over 2014.

Led by mobile shopping, consumers indicate the Apple Watch, Samsung, Sony and LG TVs, Microsoft Surface Pro 4 and more are at the top of their shopping lists, according to the IBM Watson Trend App.

Available for free download in the Apple App Store, IBM Watson Trend features the hottest 100 consumer electronics, toys and health and fitness products at any given time.

For Black Friday IBM has identified additional popular products and the stories behind them:

Beats by Dre: Beats headphones, earbuds, and speakers have been wildly popular since first appearing in 2008. Watson finds growing chatter around the Beats Solo2 Wired On-Ear headphones as well as the release of Dr. Dre´s unheard tracks on Apple´s Beats 1 streaming music channel. Additional trending headphones include Sennheiser, Bose, Skullcandy and Sure.

Jordan Shoes: Known best for its original Air Jordan line of basketball sneakers, Jordan Brand has released a new line of performance running shoes. Watson finds that the line is being lauded for both their aesthetics and foot support and is gaining popularity among consumers who sported the original sneakers in the 1990s.

Nintendo Super Smash Bros: Nintendo´s Super Smash Bros for Wii U is generating significant buzz and Watson knows why. While the game features popular Nintendo characters such as Mario, Donkey Kong and Pokemon, it´s the “unprecedented” addition of Final Fantasy´s Cloud Strife that has gamers buzzing with excitement.

MeccaNoid Personal Robots: Personal robots including those from Star Wars are popular this year but many parents are also looking to more “edutainment” focused gifts. Watson reports that many parents are looking at MeccaNoid, which teaches kids from ages 8 to 12 how to create, learn and code so they can ultimately build their own robot.

IBM Watson Trend leverages natural language and machine learning technologies to uncover consumer preferences, pinpoint patterns and trends and reveal why people are choosing certain products or brands.