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SAP Introduces Machine Learning to Optimize the Shopping Experience

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by Angela Guess

A recent press release reports, “SAP SE today introduced new technologies, such as facial recognition, machine learning and Internet of Things (IoT), to enable targeted marketing campaigns and help consumers optimize their shopping experience. With its SAP® Hybris® solutions, SAP continues to innovate and invest to drive the future of customer engagement and commerce… Nine out of 10 customers (89 percent) expect an answer to their query within 24 hours, according to the 2017 SAP Hybris Consumer Insights Report. The survey of 20,000 shoppers worldwide found that the easiest way to keep customers happy is to be responsive, and the fastest way to lose them is to share their data without their knowledge. Four out of five shoppers (80 percent) are willing to share some of their customer data with brands, the study found, with Japan being the least inclined (52 percent) compared with Colombia and India (both at 92 percent). Respondents from all countries, except Russia, are willing to share their e-mail addresses, but only half of Middle East–based consumers want to share their mobile phone numbers.”

The release goes on, “The SAP Hybris Marketing Cloud solution now encompasses an array of solutions to help companies ensure they use the right messages to target customers who matter the most and ensure customers’ data and privacy are protected. Paired with the tools listed below, companies can create more transparency into their own marketing performance and spend. (1) Digital boardroom for the CMO: Based on SAP Digital Boardroom, the new marketing executive dashboard presents to chief marketing officers a view that includes reports gauging the success of campaigns and transparency to detect impending problems. It also shows and identifies new marketing opportunities. (2) Machine learning facial recognition: The SAP Leonardo digital innovation system now powers facial recognition technology within SAP Hybris Marketing Cloud, introducing a new way to engage in-store shoppers. Using facial analysis, the software connects shoppers’ genders and ages to a company or store’s available inventory and stock, enabling personalized product recommendations presented on large displays.”

Read more at Business Wire.

Photo credit: SAP

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