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机场开设体验馆 精准触达数亿用户 机器时代:让深圳智造走进千家万户
Shen Zhen Shang Bao·2025-07-03 16:50

Core Viewpoint - Shenzhen is transitioning from traditional products to high-tech offerings, with AI products becoming a new hallmark for the city, particularly through the establishment of AI experience centers at airports [1][2]. Group 1: AI Experience Centers - The company "Machine Era" operates 44 AI experience centers across 24 cities in China, providing a platform for high-tech products to reach over 400 million high-end business travelers [2]. - Products available include smart luggage, smart notebooks, and open AI headphones, which enhance the travel experience by making it more convenient and enjoyable [2][3]. Group 2: Market-Driven AI Ecosystem - The core philosophy of Machine Era is to create a market-driven AI ecosystem, allowing innovative products to be tested and validated in real market conditions [2][5]. - The company has established a consumer data network that helps identify which AI products have market potential, thus acting as a "market radar" for upstream partners [3][4]. Group 3: Support for AI Startups - Machine Era has incubated over 8,000 AI high-tech companies, with more than 2,000 deep partnerships, covering various categories such as robotics, smart home, and health tech [4]. - The experience centers serve as a low-cost "market testing ground" for AI startups, providing valuable consumer feedback and insights [3][5]. Group 4: Industrial Accelerator - Machine Era aims to be an "accelerator" for the AI industry, offering a platform for smaller AI companies to reach a large audience and gain market insights [5][6]. - The company focuses on specific scenarios like travel, health, and efficiency, which helps define the practical value and aesthetic of AI products [5][6]. Group 5: Shenzhen's Manufacturing Advantage - Shenzhen boasts a complete electronic information and hardware manufacturing supply chain, facilitating rapid prototyping and large-scale production of AI hardware [6]. - The city’s supportive environment, including policies, funding, and talent, fosters AI innovation and helps bridge the gap between technology development and market acceptance [6].