Core Viewpoint - The express delivery industry in China is experiencing a price increase trend, driven by government policies and seasonal demand, with major companies in Shanghai announcing price hikes in late September 2025 [1][2]. Price Adjustment - Major express companies in Shanghai, including Jitu Express, Zhongtong Express, and Yunda Express, have announced price increases ranging from 0.2 to 0.4 yuan per package, primarily affecting business clients [2]. - The price increase in Shanghai follows similar actions in regions like Yiwu, Guangdong, and Heilongjiang, indicating a nationwide trend [2]. - The average price per express service in the first half of 2025 was 7.52 yuan, a decrease of 7.7% from 8.15 yuan in the same period of 2024, despite a 19.3% increase in business volume [2]. Industry Context - The express delivery sector has been facing a "volume without revenue" dilemma, prompting regulatory bodies to emphasize the need for a fair pricing system [2][3]. - The National Postal Administration has been actively addressing issues of "involutionary" competition and has called for a shift towards a more sustainable pricing model [3]. Seasonal Factors - The upcoming peak seasons, such as "Double 11," are expected to provide opportunities for further price adjustments, as it is common practice to raise prices before major promotional events [4]. Internal Optimization - Despite the anticipated price increases, the industry remains competitive, and companies are focusing on internal improvements, such as management optimization and technological innovation, to enhance their core competencies [6]. - Companies like Shentong Express are prioritizing high-quality development over price competition, aiming for long-term value creation for customers and partners [6]. Technological Advancements - Companies are investing in technology to improve operational efficiency, with Shentong Express implementing AI and automation solutions to enhance service quality and reduce costs [7]. - SF Express is utilizing intelligent and unmanned technologies to optimize logistics operations, significantly improving efficiency in various processes [7].
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