Industry Insights

Logistics cost reduction has been written into national quantitative targets, but between the macro ratio and the daily ledgers of a small and medium-sized logistics enterprise lies the hurdle of whether node-level information is available. This article breaks down the most relevant focus areas for SMEs in three national-level documents and provides a practical path from node data to in-transit visibility.

Two regulatory documents have made classified and tiered management of AI applications, prevention of model drift, and human intervention at key nodes explicit requirements. Drawing on the Implementation Plan for High-Quality Development of Digital Finance, the Guiding Opinions on Digital Transformation, and public survey data, this article discusses how financial institutions can make explainability, auditability, and human-in-the-loop default configurations.

The policy window has opened, but the deployment of AI agents in SMEs is still stalled at four stages: use case selection, permission boundaries, procurement decisions, and operations and maintenance handover. Drawing on public policy documents and survey data from CAICT, this article provides an actionable decision framework.

Aimed at digitalization leaders of small and medium manufacturers in the Yangtze River Delta, it breaks down a five-step path: scenario selection, boundaries and permissions, data preparation, evaluation and gray release, and cost operations and maintenance, emphasizing auditable boundaries and avoiding demo-style projects.