Cross-border payment rapid settling method based on credit big data

Abstract

The invention discloses a cross-border payment rapid settling method based on credit big data. Based on the historical transaction big data accumulated on e-commerce platforms by merchants, commodities and users, the method carries out estimation to the transaction risks using the artificial intelligence method. For the transactions whose estimated risks are low, a third-party is used to pay in advance so that the capital settlement is made in advance to the domestic accounts of merchants. This avoids the complicated and tedious procedures of a regular settling mode requiring the transaction completion by the users, e-commerce platform financial period completion, e-commerce settlement to a third party and third-party clearance via banks until to the domestic accounts of merchants. Therefore, under the condition that the pre-paid risk is controlled, the cross-border capital settling procedure for the merchants is simplified, the third-party payment and settlement efficiency is increased; and the capital can be transferred among accounts in shorter time. Therefore, the capital cycling efficiency is increased; the risk change risk incurred from an excessively regular long settlement period is reduced, and the operation risks of the merchants are reduced.

Description

technical field [0001] The invention relates to the technical field of cross-border payment, in particular to a fast settlement method for cross-border payment based on credit big data that can improve the efficiency of merchant capital flow, shorten the time for capital to arrive, and reduce the risk of exchange rate fluctuations in the capital clearing and settlement process. Background technique [0002] In recent years, the growth rate of my country's import and export has slowed down. Customs statistics show that in 2010, the growth rate of my country's traditional trade was 34.7%, which dropped to 22.5% in 2011. By 2012, my country's import and export volume was 3,866.76 billion US dollars, a year-on-year increase of 6.2%. In 2013, the import and export volume was 4,160.3 billion U.S. dollars, up 7.6% year-on-year. Export business has also gradually slowed down. While the growth of traditional foreign trade exports is sluggish, the development momentum of my country's...

AI Technical Summary

Problems solved by technology

However, due to compliance requirements, most domestic third-party payments are made through cooperation with banks, and the currency exchange and payment processes are completed by their custodian banks. , the payment process is complicated, the efficiency is low, and the account period is long, such as figure 1 It usually takes 6 to 23 working days to receive the payment

[0008] Since the merchant needs to deliver the goods immediately after receiving the order, and the corresponding payment has to go through multiple settlement links of multiple institutions, it needs to wait for the complex review and supervision process of the platform, bank and third-party payment to be completed. Such a complicated process This makes the flow of funds slow, and each link has to bear certain costs, which increases the operating costs of the enterprise; at the same time, the long and inefficient process of fund clearing and settlement has put great pressure on cross-border merchants and brought certain exchange rate risks , seriously affecting the efficiency of capital use, hindering merchants from expanding their business scale, and increasing the operational risks of cross-border merchants

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