Artificial intelligence-based product recommendations are projected to drive 35% of revenue.
Christine Jorgensen, Director, Product Management, Qualcomm12.11.18
According to a recent Salesforce study, consumers will use more mobile devices than computers this holiday season to make online purchases. Artificial intelligence-based product recommendations are projected to drive 35% of revenue. Retailers are also engaging customers digitally within their brick-and-mortar locations as 83% of shoppers now use their smartphones while shopping in-store. This new retail landscape provides a unique opportunity for mobile developers to work with a number of tools and resources to help meet these demands.
So how do you take advantage of this opportunity and create new shopping experiences? The key to great customer experiences, whether online or in-store, is personalization. Personalization is based primarily on past buying habits and patterns (e.g., knowing when someone buys, how often, how much money was spent, etc.), and preferences (e.g., brands, colors type, style, etc.). AI, in particular, can play a key role in personalization on mobile because
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