Store site selection method and device, computer equipment and storage medium

Abstract

The invention relates to a store site selection method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a regional map, dividing the regional map into a plurality of grid units, and receiving a region be subjected to site selection selected from the regional map; determining a grid unit be subjected to site selection according to the region be subjected to site selection, wherein the grid unit be subjected to site selection is a grid unit corresponding to the regionbe subjected to site selection in the regional map; performing statistics on site selection influence data in the region mapped by the grid unit be subjected to site selection; according to a store site selection model and the site selection influence data, calculating an operation income prediction value of a store to be subjected to site selection in a region mapped by the grid unit to be subjected to site selection, wherein the store site selection model is a pre-trained model; and determining a site selection region of the store to be subjected to site selection according to the operation income prediction value. By adopting the method, the manual work amount can be saved, the store site selection period is optimized, and the store site selection efficiency is improved.

Description

Technical field [0001] The present application relates to the field of geographic information processing technology, more particularly to a store location method, apparatus, computer equipment and storage media. Background technique [0002] With the rapid economic development, people's living standards continue to improve, the number of stores of various formats more and more, to boost production to better meet the needs of the people, play a leading role. For stores open, in the full life cycle of the store, the store location is the starting point, is the most important job. [0003] In a traditional store location method, first the need for manual site visits, and collect a lot of geographic information and management information based on experience, and then to sort out information gathered and analyzed throughout the site selection process is completely dependent on manual operation and experience data, site selection cycle is long, heavy workload. And, probably due to lack...

AI Technical Summary

Problems solved by technology

[0003] In the traditional method of store location selection, it is first necessary to conduct manual field inspections, collect a large amount of geographical information and business information based on experience, and then sort out and analyze the collected information. The entire location selection process relies entirely on manual operations and experience Data, site selection cycle is long, workload is heavy

Moreover, it is likely to ignore important influencing factors due to lack of experience, and the amount of information collected is also limited by the workload, making it impossible to conduct a comprehensive analysis

Therefore, traditional location selection methods cannot achieve efficient location selection for stores

Images