新华财经|从“技术概念”迈向“产业现实”人工智能加速赋能千行百业

Core Insights - Artificial intelligence (AI) is transitioning from a "technical concept" to "industrial reality," becoming a core engine for enterprise operational innovation and providing strong momentum for industrial digitalization [1][4]. Group 1: AI Applications in Food Safety and Customer Service - AI systems in the food industry allow kitchen staff to use mobile devices to print labels with expiration dates, enabling real-time monitoring and management of food safety [2]. - In customer service, AI has improved response times and accuracy by creating a dedicated knowledge base, allowing for instant retrieval of structured answers based on keywords [4]. Group 2: AI in Retail Management - AI has transformed retail management by automating the evaluation of staff appearance through an "AI magic mirror" system, freeing supervisory teams to focus on training and service improvement [4][5]. - The integration of AI into retail operations has led to a more humane and efficient management approach, shifting roles from error correction to empowerment [5]. Group 3: AI in Traditional Industries - In traditional industrial sectors, AI is enhancing decision-making processes by converting operational data into high-value insights, thus improving production stability and efficiency [5][6]. - AI is facilitating a shift from traditional "value procurement" to proactive "strategic procurement" by analyzing vast amounts of market data [6]. Group 4: AI as a Core Engine for Business Growth - AI is evolving from a tool to a core engine that drives business upgrades and strategic decisions, supporting companies in exploring new growth paths and optimizing supply chain management [5][6]. - The integration of AI into various business scenarios is seen as a way to uncover new consumer needs and create innovative service categories, contributing to brand growth [5][6]. Group 5: AI's Role in Industry Evolution - AI is recognized as a key force driving the transition from digitalization to intelligent operations, optimizing decision-making and fostering new products and business models [7].