1、Data-Driven Product Design:Using AI to Close the Gap Between Trend and ProductionINTRODUCTIONMubine DinGlobal Head of Solutioning Mubine is a seasoned technology leader with a proven track record in driving digital transformation and delivering complex business solutions.As the Global Head of Soluti

2、oning at Ciklum,he brings nearly a decade of expertise in innovation,solution architecture,and strategic planning.Prior to Ciklum,he spent 7 years at EY,shaping and executing large-scale transformation programs for global clients and 3 year at Hitachi Vantara helping clietns leverage data and AI to

3、deliver value across their business.With deep expertise in AI,Blockchain,RPA,and cloud solutions,Mubine specializes in bridging the gap between business and technology to create impactful,future-ready solutions.Contents03IntroductionWHERE IT BEGINS06The Growing Gap Between Traditional Design and Mar

4、ket RealitySECTION 0109Key Technology Obstacles Facing Traditional Consumer BrandsSECTION 0211Building a Responsive,AI-Powered Product Design EngineSECTION 0316Your Path to Implementation:How Ciklum Can HelpSECTION 0418The Future of Retail is ResponsiveCONCLUSION4WHERE IT BEGINSIntroductionThe gap b

5、etween traditional retail and digital-native success has never been more stark:while established brands take 18-24 months to bring products to market,newcomers are turning designs around in 24 hours.This isnt just about speedits about the ability to capture trends,respond to consumer demand in real-

6、time,and scale production instantly.Shein exemplifies this new reality,reaching a$100 billion valuation and doubling profits within a year by mastering the art of immediate market response.Traditional consumer brands are struggling to match this pace of innovation.Years of layering new technology on