Take-out sales optimization method

Abstract

The invention discloses a take-out sales optimization method. The method comprises an operation information platform, a stock merchant, a sales seller and a retail unit, and is characterized in that the operation information platform communicates multiple parties, the stock merchant provides the retail unit, and the sales seller is responsible for outgoing sales; high site cost, personnel cost andtax expenditure faced by expanding operation of a physical store are avoided in a mode that a stock merchant only needs to provide take-out goods, so the physical store can realize low-cost and large-scale expansion of the operation range, the operation income is improved, and the risk of expanding operation is remarkably reduced; for a vending seller, selling operation can be started only by paying the expense of one retail unit goods, earnings are obtained, and the operation information platform forms customer purchasing behavior side writing through big data analysis; therefore, stock merchants are guided to prepare the commodities in the retail units in a targeted mode, the vending sellers select the retail units to sell the commodities according to the retail places selected by themselves, the purchasing experience of customers is further improved, and the repurchasing rate and purchasing willingness of the customers are further improved.

Description

technical field [0001] The present invention relates to the field of commercial retail, in particular to a method for optimizing takeaway sales. [0002] technical background [0003] With the development of China and the global economy and society, the social economy is becoming more and more prosperous, and the commercial competition in the economic society is becoming more and more fierce, and various commercial sales models emerge in endlessly. The most common is to combine online and offline. The rise of online e-commerce has broken the traditional offline retail industry model, causing a huge impact on the offline retail industry. Under the impact of the e-commerce model, the offline retail industry has gradually fallen into operational difficulties. Quite a number of retail companies have begun to transform and combine online and offline, but very few have successfully transformed. [0004] For operators of offline physical stores, the impact of online merchants is ...

AI Technical Summary

Problems solved by technology

The operating cost of physical stores is significantly higher than that of pure online merchants, resulting in high product unit prices, and it is easy to cause the problem of online crowding out offline customers. Offline customers only screen in physical stores, and then switch to online to choose Place an order for low-cost online products

Therefore, the effect of transferring physical stores to online is not good.

[0007] On the other hand, there are a large number of people who have the ability and willingness to work, but are not fully employed or have no work.

Although this part of the population has the willingness to work and the ability to work, most of them are too old and lack labor skills. It is difficult to obtain ideal jobs and income in industries that require relatively high labor skills, and gradually become marginalized groups in society. It is one of the reasons why it is difficult to reduce the number of poor people in social cities