Shopping center site selection device and method based on big data and expert experience

An expert experience, shopping mall technology, applied in data processing applications, market forecasting, instruments, etc., can solve problems such as the influence of personal judgment on success or not, the lengthy process of site selection projects, etc., to eliminate deviations, improve efficiency, and improve quality. Effect

Pending Publication Date: 2020-11-03
上海丙晟科技有限公司
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AI Technical Summary

Problems solved by technology

In the traditional shopping center site selection process, it takes several weeks for site selection experts to conduct on-site surveys and data collection, and then organize the obtained data and focus on discussions to complete the establishment of a project, resulting in a traditional site selection project process Lengthy, and the success of the project is largely influenced by the quality of the data collected on site by the site selection experts and the personal judgment of the decision makers

Method used

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  • Shopping center site selection device and method based on big data and expert experience
  • Shopping center site selection device and method based on big data and expert experience
  • Shopping center site selection device and method based on big data and expert experience

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Embodiment 1

[0023] (1) In the basic data comprehensive processing module, all the site selection big data is divided into four dimensions for evaluation, which are population level, consumption level, competition level, and traffic level. The evaluation of these four dimensions draws on the relevant data of hundreds of plazas that have already opened.

[0024] See figure 1 , in the assessment of the population level, the population within 1.5km, the population within 3km, and the population within 5km around the shopping center are used. The population level assessment is given, and the assessment results are output in percentiles. The larger the population in each dimension, the higher the corresponding population level score.

[0025] See figure 2 , using the local per capita disposable income, local second-hand housing prices, and the unit price of similar squares to evaluate the consumption level of the plot, the consumption level results are output in a percentage system, and the ...

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Abstract

The invention discloses a shopping center site selection device and method based on big data and expert experience, and the device comprises four modules: a basic data comprehensive processing module,an expert scoring module based on site selection big data, a weight learning module of each influence factor, and an intelligent site selection sub-module for calculating an alternative land parcel.According to the method, the data of each dimension of the alternative land parcel can be quickly known and evaluated, the site selection efficiency is greatly improved, the expert experience is digitized, the deviation caused by expert personal judgment is eliminated, more objective evaluation is given, the intelligent site selection score gives a single number to evaluate the alternative land parcel, the data analysis efficiency is greatly improved, the decision quality is improved, and continuous optimization can be realized in the future.

Description

technical field [0001] The invention relates to the field of shopping center site selection, in particular to a shopping center site selection device and method based on big data and expert experience. Background technique [0002] Site selection is a very important link in the operation of shopping centers. Especially for commercial management companies in China at the current stage, the scope of business has begun to sink from the familiar first- and second-tier cities to third- and fourth-tier cities. Comprehensive and objective site selection evaluation for unknown cities is particularly critical. However, site selection is a complex business decision-making process that requires a combination of multiple factors, including population, consumption levels, competition, and transportation convenience. In the traditional shopping center site selection process, it takes several weeks for site selection experts to conduct on-site surveys and data collection, and then organiz...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q30/02
CPCG06Q10/06393G06Q30/0203G06Q30/0282
Inventor 贺江宁王泽铭朱瑞琪李攀登王盛
Owner 上海丙晟科技有限公司
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