"我们去年内部争论了很久，到底是做行业大模型还是做硬件。"翟学魂在接受《每日经济新闻》记者采 访时坦言，"最终我们选择硬件，不是因为大模型不重要，而是行业的基础设施还不具备AI化的前提条 件。" "AI is Amazing，but not a Magic（AI很神奇，但不是魔法），我们必须从第一步开始。"翟学魂用这句 话，为G7易流的AI战略定下了基调。他的第一步，不是去构建替代人类思考的"超级大脑"，而是回到 物流运营的现场，从一辆车、一名司机、一次通话、一张表格开始，为AI的降临铺设好地基。 "AI不会让所有公司变得一样，反而会放大它们之间的差异化。"翟学魂表示，"未来3至5年，这个领域 将涌现上百个成功的平台公司。" 物流四大"希望之地"浮现 从争相拥抱到对落地场景的"迷茫"，大模型的喧嚣过后，物流行业正进入AI（人工智能）应用的"深水 区"。 不过，当不少企业还在为大模型的技术参数争论不休时，G7易流创始人、CEO（首席执行官）翟学魂 选择了一条与众不同的路径。G7易流作为一家以物流数字化和软件起家的公司，在其近日举行的数字 物流大会上，翟学魂没有发布炫酷的行业大模型，而是推出了一个看似朴素的硬件产 ...

Core Insights - The 2025 Digital Logistics Conference focused on the deep application of AI in the logistics sector, highlighting the transformative potential of AI technologies across various industries [1][3][15] Industry Trends - The logistics industry is experiencing a shift towards multi-batch, small-batch, and low-inventory models, increasing the demand for agility and flexibility in logistics operations, which AI technologies can effectively address [4][15] - Since 2021, the freight market has entered a growth phase in 2025, with an increase of over 5%, and short-distance transportation is becoming more prevalent [6][15] Company Strategies - G7 Yiliu's CEO emphasized a bottom-up approach to AI strategy, focusing on solving fundamental logistics operational issues through automated data analysis and processing [7][15] - G7 Yiliu introduced the "Purple Box," an innovative edge AI hardware that connects various devices and sensors in vehicles, enhancing data collection and operational efficiency [9][15] Expert Opinions - Industry leaders discussed the need for deep discussions on how to shape new competitive advantages in the logistics sector and the importance of leveraging AI to uncover business opportunities [11][15] - Yu Tong Group's Vice Chairman highlighted the importance of AI in optimizing cold chain vehicle operations, enabling automatic adjustments to cooling temperatures based on real-time data [13][15] - Scania's representative discussed their focus on lifecycle cost optimization and the integration of AI in various operational processes to enhance efficiency and safety [14][15][15]