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Supermarket Fruit and Vegetable Optimal Sales Device and Method Based on Data Mining and Preservation Prediction

A data mining, fruit and vegetable technology, applied in marketing and other directions, can solve problems such as rotten fruits and vegetables discarded, economic losses of fruit and vegetable dealers, consumption of total value of social wealth, etc., and achieve the effect of promoting sales

Active Publication Date: 2018-01-05
SHENZHEN INST OF ADVANCED TECH
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the sales of fruits and vegetables in domestic supermarkets mostly adopt the sales method of keeping the whole process of the price unchanged and rotten and reducing the price, resulting in a large number of rotten fruits and vegetables, which not only caused economic losses for supermarkets and fruit and vegetable dealers, but also caused the total value of social wealth. unnecessary consumption

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  • Supermarket Fruit and Vegetable Optimal Sales Device and Method Based on Data Mining and Preservation Prediction
  • Supermarket Fruit and Vegetable Optimal Sales Device and Method Based on Data Mining and Preservation Prediction

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Embodiment Construction

[0009] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with specific embodiments and drawings. It should be understood that the specific embodiments described in the text are only used to explain the technical solutions of the present invention, and should not be construed as limiting the present invention.

[0010] Such as figure 1 As shown, one aspect of the present invention provides an optimized sales device for supermarket fruits and vegetables based on data mining and preservation prediction. The device includes: fruit and vegetable corruption information collection module 100, sales experience data collection module 200, time series database establishment module 300, sales experience database establishment Module 400, data warehouse building module 500, knowledge model mining module 600, price model building module 700, real-time price setting...

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Abstract

The invention relates to a supermarket fruit and vegetable optimization sales device based on data mining and preservation prediction. The device includes a fruit and vegetable corruption degree information collection module, a sales experience data collection module, a time series database building module, a sales experience database building module, a data warehouse building module, a knowledge model mining module, a price model building module, a real-time price setting module and a prompt module . The fruit and vegetable corruption degree information collection module collects the fruit and vegetable corruption degree information, and the sales experience data collection module collects sales experience data; the knowledge model mining module mines the knowledge model; the price model establishment module establishes the price model of fruits and vegetables; the real-time price setting module sets the price of fruits and vegetables The real-time price and reminder module sends out promotion reminders at the critical point of fruit and vegetable corruption. Based on past sales experience, the present invention accurately estimates the shelf life of different types of fruits and vegetables in different time periods, automatically implements a price-decreasing sales strategy, and effectively promotes sales of fruits and vegetables.

Description

【Technical Field】 [0001] The invention relates to a supermarket fruit and vegetable optimized sales device and method based on data mining and preservation prediction. 【Background technique】 [0002] In my country's fruit and vegetable industry chain, losses due to poor sales and rot account for about 30% of the total cost, and economic losses are several hundred billion yuan. Fruits and vegetables rot due to poor sales. It is not an absolute surplus, but a problem of sales strategies, management methods, and pricing mechanisms. At present, domestic supermarket fruit and vegetable sales mostly adopt the sales method of unchanged prices throughout the whole process and reduction of rotten prices. This has caused a large number of rot and discarded fruits and vegetables, which not only caused economic losses to supermarkets and fruit and vegetable distributors, but also generated the total value of social wealth. Needless consumption. [Content of the invention] [0003] The presen...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
Inventor 修文群冯圣中张宝运李晓明
Owner SHENZHEN INST OF ADVANCED TECH