Big-data-based store analysis and processing method

Abstract

The invention discloses a big-data-based store analysis and processing method. The method comprises: a position coordinate of a mobile terminal in a specified area range is obtained; the designated area is divided into a plurality of rectangular regions; the number of the rectangular regions with mobile terminal numbers exceeding a first threshold and being lower than a second threshold among allregions is obtained; statistics is carried out to determine whether a ratio between numbers of the rectangular regions with the mobile terminal numbers exceeding the first threshold and being lower than the second threshold is in a range from 0.5 to 2; if so, pre-stored store data in the rectangular regions with the mobile terminal numbers exceeding the first threshold and being lower than the second threshold are obtained and to-be-pushed store data are sent to the mobile terminals in the rectangular regions exceeding the first threshold value; and otherwise, the number of the first thresholdvalue is reduced and the number of the second threshold value is increased until the ratio of the numbers of the rectangular regions with the mobile terminal numbers exceeding the first threshold andbeing lower than the second threshold is in a range from 0.5 to 2. Therefore, the number region balance of the mobile terminals in all regions is ensured; the benefit maximization of the stores is improved; the purchasing efficiency of customers is improved; and the waiting time is reduced.

Description

technical field [0001] The invention belongs to the technical field of big data analysis, and relates to a store analysis and processing method based on big data. Background technique [0002] With the continuous improvement of people's living standards, people pay more and more attention to the quality of material life and the gradual trend of ideas, which in turn promotes the gradual increase of shops around the living area. There may be at least one shop of the same type and type. During holidays, people I usually choose to go shopping to pass the time. Due to the large number of people during the holiday, the number of people in a certain store is too large, and the number of service personnel in the store cannot meet the requirements of customers, which makes it impossible to provide good services for every customer. For example : The number of customers waiting in line in front of a certain restaurant is large, while the number of customers in the restaurant of the sam...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a store analysis and processing method based on big data, by counting the number of rectangular areas whose number of mobile terminals exceeds the first threshold and the number of rectangular areas whose number of mobile terminals is lower than the second threshold, the ratio is within the set range At the same time, guide and push the store data to the mobile terminals in the rectangular area exceeding the first threshold, ensure the regional balance of the number of mobile terminals in each area, and solve the imbalance of the number of customers in the existing store, the inability to maximize the benefits of the store and the waiting time of customers long time problem