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Standard revenue pre-estimation method and system

A turnover and estimation model technology, applied in the field of data estimation, can solve problems such as non-shareable reuse, and achieve the effect of saving repeated collection work and reliable and effective recommendation results

Inactive Publication Date: 2017-09-19
厦门数图科技有限公司
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AI Technical Summary

Problems solved by technology

Moreover, regardless of whether the indicators obtained from the examination are correct or not, they are often not shared and reused.

Method used

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  • Standard revenue pre-estimation method and system
  • Standard revenue pre-estimation method and system

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Embodiment Construction

[0017] The present invention will be further described in detail below in conjunction with the examples.

[0018] In order to solve the lack of unified standard estimation of store turnover in the prior art, the present invention provides a standardized turnover estimation method and a standardized turnover estimation system. Standardized forecasting is performed according to the method and system. Evaluation and site selection recommendations.

[0019] The described standardized turnover estimation method pre-builds various types of comparison store models for various industries, and the comparison store models are associated with several attributes. Each type of comparison store is associated with a turnover estimation model, and the turnover estimation model includes Several pre-estimated indicators; select a comparison store model that matches the attributes of the store to be estimated, and use the sales forecast model associated with the comparison store corresponding to...

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Abstract

The present invention relates to a standardized turnover estimation method and system. By using massive indicators as reference values, a comparison store model is established for various types of stores in various industries. The comparison store model is associated with several attributes, and the basis of the comparison store model The data comes from existing stores, and the error between the judgment result and the actual turnover is controllable. Each type of comparison store is associated with a turnover estimation model, and the turnover estimation model includes several estimation indicators; select the comparison store model that matches the attributes of the store to be estimated, and use the corresponding comparison store model associated with the comparison store model A turnover forecasting model; collecting data corresponding to forecasting indicators of the turnover forecasting model to obtain forecasted values. In the turnover estimation of stores of the same type, relatively standardized results can be obtained by using the comparison store model as the standard. The sharing and multiplexing of all data in the present invention saves a lot of repetitive collection work, and uses the same data, which is more consistent in site selection and recommendation.

Description

technical field [0001] The invention relates to data estimation technology, more specifically, to a standardized turnover estimation method and a standardized turnover estimation system. Background technique [0002] The traditional method of store location selection is based on experience. The acquisition of the judgment basis requires on-the-spot inspections. First, select several alternative addresses based on experience, and then go to each alternative address for on-site inspections. The content of the examination can use quantitative or qualitative indicators. For qualitative indicators, it is based on subjective feelings to experience; for quantitative indicators, it is necessary to carry out complicated recording and analysis work. After obtaining various indicators, key decision-making judgments must be made. There are no standardized rules for reference in decision-making and judgment, and the judgment results also vary from person to person. That is to say, di...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06
CPCG06Q10/04G06Q10/067
Inventor 范敬良
Owner 厦门数图科技有限公司
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