Vendible commodity price calculation method and system for e-commerce platform

Abstract

The invention discloses a saleable commodity price calculation method and system for an e-commerce platform, relates to the technical field of big data processing, and can provide rapid and accurate real-time price calculation service under the condition of large data volume of commodity price change and take effect in an online shopping page in time. The method comprises the following steps: pushing dynamic cause data influencing commodity price in an upstream service system to a message queue in real time; pulling dynamic cause data from the message queue in real time, extracting effective dynamic cause data in the dynamic cause data, and dividing the effective dynamic cause data into real-time dynamic cause data or future dynamic cause data; according to the activity starting time in the future dynamic cause data, enabling the reference point to call the future dynamic cause data and transfer the future dynamic cause data into real-time dynamic cause data; obtaining the real-time dynamic cause data, sequentially inquiring the inquiry source data, the reference price data, the promotion activity price data and the marketing activity price data corresponding to the real-time dynamic cause data, and calculating the real-time selling price of the corresponding commodity based on a pre-configuration rule; and updating the online shopping page to complete price display of the corresponding commodity.

Description

technical field [0001] The invention relates to the technical field of big data processing, in particular to a method and system for calculating prices of salable commodities used on an e-commerce platform. Background technique [0002] At present, the search, promotion and other services provided by e-commerce websites need to rely on commodity prices. For example, search and display web pages based on commodity availability and sales prices. However, due to the wide variety of commodity prices, including pricing, marketing price, activity price, membership price, etc. The real-time selling price of the product needs to be calculated according to the corresponding price strategy. At the same time, the inventory data and the status of each product are updated frequently. Any change in the motivation will lead to the display of the product on the webpage. Information changes, and large e-commerce websites sell hundreds of millions of products. Obviously, the real-time price c...

AI Technical Summary

Problems solved by technology

[0002] At present, the search, promotion and other services provided by e-commerce websites need to rely on commodity prices. For example, search and display web pages based on commodity availability and sales prices. However, due to the wide variety of commodity prices, including pricing, marketing price, activity price, membership price, etc. The real-time selling price of the product needs to be calculated according to the corresponding price strategy. At the same time, the inventory data and the status of each product are updated frequently. Any change in the motivation will lead to the display of the product on the webpage. Information has changed, and large e-commerce websites sell hundreds of millions of products. Obviously, the real-time price calculation of a large number of available products will lead to slow update of online shopping page data, which will affect the user's shopping experience.

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