Method for processing multi-client centralized invoicing data and method for printing invoice

Abstract

The invention provides a method for processing multi-client centralized invoicing data and a method for printing an invoice. Aiming at the characteristics of multiple clients, big dispersive degree and realization of high safety by a network, the invention provides the method for processing the centralized invoicing data and the method for printing the invoice.

Description

technical field [0001] The present invention relates to a tax control billing and printing processing method, in particular to a decentralized, long-distance multi-client, using a network to achieve high security, a centralized billing data processing method and an invoice printing processing method Background technique [0002] Taxation is an important source of funds for national construction and an important means to regulate the order of market operations. For this reason, technologies for taxation and tax control are constantly being introduced. [0003] At present, for tax control and invoicing, some enterprises often have multiple business divisions, and these business divisions are far apart and arranged in a distributed manner, such as water, electricity, and gas industries. In this case, there are many trading points but distributed It is very scattered, and the amount of invoicing is also very large. There are two main ways of invoicing now: [0004] The first on...

AI Technical Summary

Problems solved by technology

[0008] If there are as many trading points as there are, how many stand-alone tax control and invoicing systems need to be equipped. Each point needs to have a golden tax card. The overall cost of the system is high, and each point is not concentrated in one office area. Some Even in different districts and cities, the overall management and maintenance costs are high

[0009] The business volume of each transaction point is not stable. Sometimes the allocated invoices cannot be used, and sometimes they are not enough. Temporary adjustments are not in the same place as the host, and personnel are required to arrange working hours. There is an adjustment cycle, which makes the overall business processing capacity low. There is an upper limit on the billing amount of each point

[0010] Distributing invoices and collecting and summarizing tax declaration data after each ticket purchase requires financial staff to go to all extensions one by one, which is a heavy workload and low efficiency

[0011] There is an open network connection between some extensions and the host, but because the security cannot be guaranteed, the invoice data and tax return data cannot use this resource

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