Consumers equipped with smartphones expect fast, convenient and uniquely relevant shopping experiences in store and online. As a result, one-third of shoppers are not satisfied with the in-store experience, turned off by everything from chronic out-of-stocks to cookie-cutter products and marketing messages that speak to the masses, as opposed to them as individuals.
In turn, retailers are empowering front-line associates with tools designed to add newfound conveniences, such as locating inventory without having to leave a shopper’s side, to texting them curated product offers based on in-store and online buying patterns and preferences
These are just a few of the insights found in Zebra’s 10th annual shopper study, which surveyed nearly 7,500 consumers from North America, Latin America, Asia-Pacific, Europe and the Middle East to gain a deeper understanding of shopper satisfaction and retail technology trends that are reshaping brick-and-mortar and online stores.
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing.