Facial recognition software can create personalized retail experiences
Posted ByJen KingOn In Featured,In-store,Industry sectors,News,Retail,Software and technology | No Comments{"ct":"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","iv":"17dd42044f427ca47326c3db5ad36231","s":"91c501047546ce8a"}
