Core Viewpoint - The integration of AI technology in offline retail is transforming traditional supermarkets into smart shopping environments, enhancing customer experience and operational efficiency [8][17]. Group 1: Improving Shopping Experience - AI-powered electronic price tags provide real-time updates on product origin and shelf time, enhancing customer awareness [8]. - Smart scales in supermarkets automate the weighing and pricing of fresh produce, increasing efficiency by 80% compared to traditional methods [9]. - Self-checkout systems significantly reduce waiting times during peak hours, with self-checkout accounting for 60% of transactions on weekdays, improving efficiency by 40% and saving 30% in labor costs [10][12]. Group 2: Enhancing Operational Efficiency - AI selection systems track market trends and consumer preferences, ensuring that product offerings align with customer demand [11]. - AI replenishment systems accurately predict restocking needs, achieving over 95% accuracy, thus optimizing inventory management [12]. - AI clearance systems dynamically adjust pricing for perishable goods based on real-time sales data, preventing losses from expired products [12][13]. Group 3: Promoting Smart Management - AI technology is utilized for monitoring cold chain logistics, ensuring optimal temperature control and alerting staff to any anomalies [15]. - AI systems in supermarkets manage lighting and HVAC systems based on customer flow and time of day, significantly reducing energy costs [16]. - AI customer service solutions provide 24/7 support, improving response times and service quality while reducing labor costs [17]. Group 4: Industry Outlook - The continuous evolution of AI technology is expected to deepen its integration into the retail sector, leading to more efficient, intelligent, and personalized shopping experiences for consumers [17].
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