Machine-stitched: Online personal shoppers offer in-store style experiences

The business of fashion is all about making choices. Designers dictate (or anticipate, depending your view) trends, and customers are expected to select from the mass of options available to them. But progress in machine learning means that more of those choices can now be made by software, and companies are taking advantage. On the customer side, machine learning and natural language processing techniques can help online shopping experiences feel as personal and human as shopping in a well-run retail store. The Amazon model of e-commerce is very different from an in-store experience, giving customers access to a litany of customer reviews and manual filters to sift through a massive collection of available goods. Easy access to merchant options and outside opinions for comparative shopping add to convenience as reasons…


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