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VML:2026年未来商业报告:零售与消费行为趋势前瞻:AI效率+人本体验(英文版)(26页).pdf

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1、9TH EDITION/2026TOMORROWSCOMMERCETHE NEARNEXTFAR OF RETAIL AND SHOPPER BEHAVIOR:AI EFFICIENCY+HUMAN FIRST EXPERIENCE2Tomorrows Commerce:A Human+Tech Counterpoint Welcome to VMLs latest edition of“Tomorrows Commerce”a visionary exploration of the trends poised to reshape the world of commerce.This ye

2、ar,inspired by our data,experience,and relentless curiosity,we delve into 20 ideas that dont just anticipate 2026,but challenge us to imagine commerce 5,10,or even 15 years down the line.Prepare to encounter concepts that might feel delightfully futuristic,perhaps even a bit far out,yet which hold t

3、he potential to profoundly redefine how we buy,sell,and connect in the future.This year,we dive deep into two powerful,interlinked,yet sometimes opposing,currents 1.Automated&AI-driven efficiency and 2.Authentic Experience&Human Connection.Why do we believe that these two forces are so important?At

4、VML,our Human First philosophy isnt just a creative principle;its the very lens through which we view and shape the future.And yet we also acknowledge the role that technology has in shaping and defining our lives,and of course the way we shop.Its this human-centric approach,underpinned by the enabl

5、er of technology,that seamlessly connects Brand Experience,Customer Experience,and Commerce.And this in turn guides our exploration into whats next.Before you delve in,we encourage you to consider how these trends can spark conversation and drive a different perspective as you chart your brands cour

6、se for the new year and beyond.Whether through AIs silent efficiency or human experiences vibrant warmth,VML invites you to explore how these dynamic forces will converge,compete,and ultimately define your vision to drive the needs of tomorrows shopper.GLENDA KOKChief of Technology BusinessVML LATAM

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根据《Tomorrow’s Commerce》报告,以下是全文关键点: 1. **AI与效率**: - 68% 的消费者已尝试过类似 ChatGPT 的工具。 - 48% 的消费者对 AI 代表其进行购物感兴趣。 2. **个性化与体验**: - 52% 的消费者希望自己的 AI 寻找最佳价格。 - 物理零售将转变为互动中心,如“人类绿洲”。 3. **生物工程与个性化**: - 消费者寻求针对健康、福祉和美容的定制解决方案。 4. **可持续性与碳减排**: - 碳感知商业减少成本和浪费。 - SKU 级别的碳数据允许结账时自动选择最节能的产品。 5. **人类连接与社区**: - 互代际零售将吸引所有年龄段的顾客。 - 社区空间将提高停留时间、频率和忠诚度。 6. **去消费与循环经济**: - 消费者越来越担心浪费。 - “去消费”是关于公司帮助人们以智能和道德的方式处理旧物品。 7. **人类编纂与信任**: - 人类编纂将提升转化率和平均订单价值。 - 人类编纂将使品牌能够提供明确的来源、负责任的编辑和透明的政策。 8. **数字到物理遗产归档**: - 将数字存在转化为持久的物理对象和艺术品。 - 这些服务可能包括“生命故事雕塑”或“感官记忆胶囊”。
"AI购物助手,你的未来购物伙伴?" 个性化还是惊喜?" 可持续消费新趋势"
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