Commodity reservation and distribution method and system based on Internet

Abstract

The invention discloses a commodity reservation and distribution method and system based on the Internet. The method comprises the following steps: receiving instruction information and distribution place information of a random mode selected by a user on line; wherein the random mode comprises first to fourth modes; matching merchants in a merchant database according to the selection result of the random mode and the distribution place; sorting the commodity information matched with the merchant for different random modes according to a preset algorithm; and pushing the generated commodity sorting information to the user, receiving a commodity order selected by the user according to the corresponding sorting information, and pushing the order information to the corresponding seller, thereby achieving the purposes that the buyer saves the selection energy, time and money. The seller improves the efficiency and more profits, and the distribution improves the efficiency.

Description

technical field [0001] The invention belongs to the field of commodity distribution, and in particular relates to an internet-based method and system for predetermined commodity distribution. Background technique [0002] In recent years, with the continuous development of e-commerce and the popularization of smart phones, traditional business models are gradually being impacted and constantly evolving. They have gradually transformed from the previous offline retail model to a model that combines online and offline. Compared with the offline mode, the advantage of the model lies in the introduction of huge traffic, but its experience is poorer than that of the offline mode. This difference often causes certain troubles for both buyers and sellers. The increase in the number of sellers and the asymmetry of information make buyers experience more troubles in this huge online traffic pool, resulting in more energy and time waste, so how to achieve efficient integration of onli...

AI Technical Summary

Problems solved by technology

[0002] In recent years, with the continuous development of e-commerce and the popularization of smart phones, traditional business models are gradually being impacted and constantly evolving. They have gradually transformed from the previous offline retail model to a model that combines online and offline. Compared with the offline mode, the advantage of the model lies in the introduction of huge traffic, but its experience is poorer than that of the offline mode. This difference often causes certain troubles for both buyers and sellers. The increase in the number of sellers and the asymmetry of information make buyers experience more troubles in this huge online traffic pool, resulting in more energy and time waste, so how to achieve efficient integration of online and offline, has become an urgent problem to be solved

[0003] Compared with the existing Internet trading platforms, taking the catering industry as an example, for buyers, the main way to save buyers’ energy in choosing is to push sellers or related sellers that buyers have browsed or consumed in the past, but there are certain differences in this process. Repeatability, can not achieve a better customer experience, and the existing commodity trading platform to achieve fast delivery method is mainly through distance sorting, that is, by calculating the delivery distance between the seller and the buyer, but this process has many Uncertainty, such as high uncertainty of preparation consumption time, high uncertainty of delivery route, etc., the results are often not the fastest and optimal delivery, which makes it difficult for buyers to choose, and the seller's delivery efficiency is reduced, resulting in long waiting time for delivery. Moreover, the platform does not have the effect of improving seller efficiency and delivery efficiency.

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