Fujians Sanming City Enhances Logistics Via Postal Code 351100

This paper clarifies that postal code 351100 corresponds to Sanming City, Fujian Province. It emphasizes the importance of postal codes in modern logistics, explaining how they improve delivery efficiency, reduce operating costs, and provide data support for geographic information analysis. Accurate completion of postal codes is crucial for ensuring the rapid delivery of mail and packages. It highlights the role of postal codes in streamlining the supply chain and enhancing overall logistics performance within the region.
Fujians Sanming City Enhances Logistics Via Postal Code 351100

Imagine your package navigating the vast logistics network—a precise postal code acts like a GPS signal, guiding it swiftly and accurately to its destination. The code 351100 , for instance, directs deliveries to Sanming City in Fujian Province, China. Understanding such details is critical for optimizing logistics efficiency.

Fujian Province, located on China’s southeastern coast, is a hub of economic activity. Sanming, a prefecture-level city under its jurisdiction, encompasses districts like Meilie and Sanyuan. The postal code system, a cornerstone of modern logistics, assigns unique identifiers to specific regions, enabling automated sorting and efficient delivery. The code 351100 pinpoints a designated area within Sanming.

In practice, accurate postal codes significantly enhance logistics performance. Courier companies use them to quickly identify destinations, optimize routes, and minimize manual handling—reducing operational costs and delivery times. With e-commerce booming, correct postal code information has become indispensable for ensuring seamless customer experiences. Businesses and individuals alike must verify and input postal codes meticulously to guarantee timely deliveries.

Beyond logistics, postal codes serve as a vital tool for data analysts. By examining logistics data tied to specific codes, analysts can uncover insights into regional economic trends, consumption patterns, and more, offering valuable support for commercial decision-making.