Factor score-based tobacco sales quantity prediction method

A forecasting method and factor technology, applied in forecasting, marketing, business and other directions, can solve the problems of extensive tobacco sales forecasting methods and few independent variables, and achieve the effect of achieving marketing, precision marketing, and promoting reform.

Inactive Publication Date: 2017-06-13
南通同心烟智道文化传播有限公司
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AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose a tobacco sales forecasting method based on factor scoring in view of the lack of existing tobacco sales forecasting methods that are extensive and refer to few independent variable factors

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  • Factor score-based tobacco sales quantity prediction method
  • Factor score-based tobacco sales quantity prediction method
  • Factor score-based tobacco sales quantity prediction method

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Embodiment Construction

[0017] combine figure 1 , an implementation of the method for predicting tobacco sales based on factor scores of the present invention includes the following steps:

[0018] 1. Data collection

[0019] 1. Determine the factors that affect sales

[0020] According to the design of the questionnaire survey, the factors that affect consumers' purchase motivation into purchase behavior are mainly divided into four types: self factors, product factors, social factors and economic factors.

[0021] Self-factors are subdivided into: consumers' income level, age, gender, occupation, education level, hobbies and customs, consumers' purchase preference for cigarettes, and consumer group aggregation.

[0022] Product factors are subdivided into efficacy, quality, brand image, service level and price of cigarettes.

[0023] Social factors are subdivided into consumer life circles, regional culture, social trends and holiday needs.

[0024] Economic factors are subdivided into the regi...

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Abstract

The invention discloses a factor score-based tobacco sales quantity prediction method. The method comprises the steps of collecting data of a plurality of independent variable factor groups to establish a database; obtaining corresponding factor scores through methods of data quantitative processing, centralization processing, Gram-Schmidt transform, collaborative filtering and the like; and according to weights of factors, predicting a sales quantity. According to the method, by utilizing an internet platform, relations with tobacco retailers and consumers can be established, and consumer information can be obtained in time; various influence factors are subjected to score value assignment, so that the sales quantity of cigarettes is predicted, accurate marketing is achieved, and tobacco industry reform is facilitated.

Description

technical field [0001] The invention relates to a method for predicting tobacco sales, in particular to a method for predicting tobacco sales constructed based on the analysis of factors affecting tobacco sales. Background technique [0002] The development of the big data industry in my country's tobacco industry is still in its infancy, and the sensitivity of data commercial applications is low, and there is no well-established and scientific basic retailer database. Customer evaluation criteria are not uniform. The customer group management used by the cigarette marketing V3 system is mainly evaluated from several indicators such as the quantity ordered by customers, the amount, and brand specifications. The evaluation method is relatively extensive, and the evaluation results are difficult to comprehensively and objectively reflect the contribution and growth rate of customers; Outdated means. Although the account manager's mobile office system converts manual work int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q30/02
CPCG06Q10/04G06Q30/0202
Inventor 袁辉程利剑杨永光刘建露杨恺钧
Owner 南通同心烟智道文化传播有限公司
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