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":"620994a8fb7e2330d4cff2bd4a9fd8b4","s":"73b9965b03a44956"}
