Large-scale order form matching method in community commerce cloud

Abstract

The invention discloses a large-scale order form matching method in community commerce cloud. The method includes the steps of firstly, achieving positioning of a user based on a base station and WIFI; secondly, confirming the non-directional requirement of the user; thirdly, determining the matching range through a cloud search algorithm; fourthly, conducting order form matching by combining the amount which can be reached with the set amount; fifthly, selecting a plurality of merchants according to a merchant optimization module; sixthly, calculating the secondary logistics cost according to user region information; seventhly, obtaining a commerce purchasing and logistics scheme of a matched largest-scale order form through the adoption of a MonteCarlo simulation dynamic programming method; eighthly, completing the matching of the large-scale order form. At present, the method is mainly applied to the electronic commerce field so that commercial demand order forms which are of the same type and in adjacent regions can be matched into a large-scale order form, therefore, the business negotiation efficiency and the transaction efficiency can be improved, a lower negotiated price can be found, better cost performance can be obtained, the shopping experience that the goods are attractive in price and quality is brought to purchasers, and the circulation of the goods and the capital of a high-quality seller can be accelerated.

Description

technical field [0001] The invention relates to an order matching method, in particular to a large-scale order matching method in a community business cloud. Background technique [0002] At present, in e-commerce, there are two main ways for consumers to make profits: [0003] Price comparison network: Buyers can use various online price comparison networks to obtain the sales prices of different merchants in similar products, and then make a choice after comparison. Although the price comparison network can provide users with the lowest retail price information of related products, it cannot guarantee the best quality of products with the lowest price, and due to the limited demand of a single user, it is impossible to obtain more favorable prices for large-volume orders from merchants. . [0004] Group buying: Buyers can form a group online to obtain specific preferential prices for specific merchants' designated products within a designated time period. However, the m...

AI Technical Summary

Problems solved by technology

However, the marketing recommendation tendency of group buying is obvious. Basically, the major e-commerce websites recommend their own merchants and products, and the group buying on each website is basically initiated by the merchants. More discount promotion methods are used to increase popularity and clear the backlog. , there are many restrictions on time and product types, which deprives users of the right to choose to a certain extent

In addition, the quality of group buying products cannot be guaranteed. Some unscrupulous merchants organize group purchases of products that are about to expire, shoddy them as good ones, in order to reduce losses, and actually transfer the losses to consumers.

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