A retailer incorporating Watson API’s into online shopping experience can deliver personalized advice on clothing with natural language. As customers shop online, the choices can be refined, based on factors such as location, activity, gender, past purchase behavior, and particular month of the year. By processing these data,
the recommendation will be provided based on the occasion and weather conditions in the region. IBM is
also progressing in the market by providing AI solution not only in online retail but also in brick-and-mortar retail
stores. Macy, a tradition brick-and-mortar retailer, has been investing in omnichannel and online merchandising; and using Watson’s capability in Macy’s
On Call app with location-based software. The app allows shoppers to locate specific clothing brand within the
store without wasting their time in running around the store.
IBM Watson Tone Analyzer service provides textual emotion detection capability to understand user’s emotional state and improve interaction. On July 2017, Tone Analyzer for customer engagement was added as a feature to IBM Watson Tone Analyzer service. This feature allows detection of communication tones in chatbot and customer service conversations. It can identify emotions from emoji, slang, and emoticons to understand seven emotions of the user such as politeness, satisfaction, sadness, frustration, excitement, impoliteness, and sympathy.Show More
USP : Watson, an AI technology by IBM that can be applied across various verticals such as finance, retail, travel and hospitality, and healthcare. Watson uses NLP and machine learning to reveal significant insights from
large volumes of unstructured data. Using the Watson suite of APIs, retailers can receive immense benefits by
segmenting customers individually and personalizing their shopping experience. This ultimately results in
frequent shopping escapades and thereby ensures higher customer loyalty.