Alibaba big data-driven supply chain and financing service analysis

Alibaba’s “My Performance” column is an important part of its data analysis platform, providing multiple key modules to help users fully understand its transaction performance. The following is a detailed introduction to the main sections of this column:

1. Inquiry Traffic Overview: This module quickly displays the changing trends of data such as exposure, clicks, click-through rate, visitors, feedback and timely response rate, and statistics of data for the past six months on a monthly basis. Each data item clearly presents the source of effects in different areas.

2. Foreign Trade Express Overview: This is a highlight of the new version. It is perfectly integrated with P4P click-through rate, exposure and click data, and can provide users with intuitive feedback on advertising effects.

3. RFQ Overview: This module mainly displays the number of quotable RFQs in the industry and the competitive environment, including peer average, TOP10 scores and users’ own data, which provides important market analysis for suppliers. tool.

4. Order Overview: This section displays key information about the company’s credit insurance, including the cumulative number of submitted orders, the cumulative number of payment orders, and the credit insurance limit, allowing users to compare their performance with peers.

5. Marketing Overview and Product Overview: The former involves various indicators of marketing, while the latter only displays valid product data in the past 15 days and presents the proportion of products with zero effectiveness. Figure to help users optimize product placement.

In addition, Alibaba is committed to providing financing support to small and medium-sized enterprises in the application of big data, especially for foreign trade buyers. By partnering with leading online lending platforms, Alibaba provides buyers with a “buy now, pay later” service, allowing them to purchase goods from Chinese suppliers more flexibly and reduce financial risks. International buyers can obtain loans of up to US$300,000 on Alibaba’s platform, with repayment terms ranging from 1 to 6 months. These services are based on real buyer data accumulated by Alibaba.

As competition intensifies, relying on the traditional B2B information transmission model has become difficult to adapt to market demand, so accurate data matching has become particularly important. Alibaba provides efficient matching services for buyers and suppliers through the transaction data accumulated through its One Access service. For example, when a U.S. buyer is looking for a specific type of product, the system will recommend reputable suppliers based on past stable transaction records, thereby improving transaction efficiency and reducing costs.

Alibaba also accumulates a large amount of real purchasing information by monitoring the purchasing behavior of overseas buyers and analyzes the current situation of the buyer’s market. This data can help sellers identify high-quality buyers and grasp market and industry trends to make more accurate business decisions.

In terms of buyer services, Alibaba uses its big data platform to provide international small and medium-sized buyers with a full range of services, including credit risk endorsement and low-interest credit services. At the same time, Alibaba will also consider providing services such as factory inspections and transaction insurance in the future to further enhance the trust and sense of security between buyers and sellers.

To sum up, Alibaba not only improves the service efficiency of the platform through the integration and analysis of big data, but also provides practical solutions for small and medium-sized enterprises in financing and transaction matching. This data-driven business model opens up new paths for future international trade and supply chain management.