System for planning, addressing and optimizing value of entity channel

Abstract

The invention discloses a system for planning, addressing and optimizing the value of an entity channel. The system is characterized by comprising a planning function, an addressing function and a value optimization function, wherein the planning function is used for planning a layout design of a regional entity channel based on urban planning and market analysis; the addressing function is used for analyzing and estimating a candidate address of the entity channel to obtain business prediction and benefit prediction of the candidate address; and the value optimization function is used for evaluating the value of the current entity channel and designing an optimal configuration scheme of personnel and equipment. Based on a system theory and a control theory, the system for planning, addressing and optimizing the value of the entity channel performs system analysis on all important factors relevant to the planning and the addressing of the entity channel and provides a key factor, so the transformation from a model to actual operation is realized and effective decision basis is provided for scientific addressing and adjustment on value optimization of the entity channel. Moreover, the system has high operability and practicality.

Description

technical field [0001] The invention relates to a physical channel planning site selection and value optimization system. Background technique [0002] With the expansion of user scale and rapid economic development, the scale of physical channels (operating stores) of mobile communication operators such as China Mobile, China Unicom and China Telecom has rapidly expanded, and the competition among operators has become fierce, especially in the case of Golden Point. bit scramble. How to ensure the best layout of physical channels, the location of physical channels is very important. The current location selection generally only considers the geographical location of the candidate outlets, and evaluates the location through the traffic flow. When estimating the business volume, it often predicts the business volume of the candidate hall based on several limited factors such as the distribution of existing terminals, which has the following problems: the planning is relative...

AI Technical Summary

Problems solved by technology

When estimating the business volume, it often predicts the business volume of the candidate hall based on several limited factors such as the distribution of existing terminals. There are the following problems: the planning is relatively random, and there is a lack of scientific methods and quantitative analysis tools.

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