From Analytical Style Apps to AI Personal Shoppers
Jana Pijak — January 20, 2017 — Business
These examples of big data retail personalization range from analytical style apps to connected cosmetics displays. The latter are designed to help shoppers select makeup that works best for their complexion while gaining access to product review information.
While Lyst's internal data analytics team drives sales by utilizing digital information, Perch Interactive's conceptual lipstick displays make custom makeup more accessible for consumers concerned about versatility and quality control.
Additionally, Amazon's bespoke suit shop makes handcrafted clothing more affordable for those looking to cut costs by shopping online. AI fashion fitting systems, DIY doll design kiosks and virtual shoe-fitting services are other notable examples of big data retail personalization that target Millennial consumers who seek quality at a reasonable price point.
While Lyst's internal data analytics team drives sales by utilizing digital information, Perch Interactive's conceptual lipstick displays make custom makeup more accessible for consumers concerned about versatility and quality control.
Additionally, Amazon's bespoke suit shop makes handcrafted clothing more affordable for those looking to cut costs by shopping online. AI fashion fitting systems, DIY doll design kiosks and virtual shoe-fitting services are other notable examples of big data retail personalization that target Millennial consumers who seek quality at a reasonable price point.
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