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Data processing method, device and storage medium

A data processing and data technology, applied in the field of forecasting, can solve problems such as deviation between forecast results and actual values, reduce financial pressure, and uncontrollable inventory

Inactive Publication Date: 2019-12-24
卓尔智联(武汉)研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many domestic home appliance companies have begun to gradually pay attention to the forecasting of home appliance sales. However, due to the late progress in information technology and the rapid changes in the consumer market, sales forecasts are based on subjective management experience and macro forecasts, resulting in forecast results. There is a large deviation from the actual value, so for the manufacturer, it is impossible to reasonably control the inventory according to the forecast result, and it is also impossible to reasonably control the cost and reduce the financial pressure

Method used

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  • Data processing method, device and storage medium
  • Data processing method, device and storage medium

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Embodiment Construction

[0061] In various embodiments of the present invention, the historical sales data corresponding to the time point to be predicted is obtained, a historical sales curve is constructed according to the historical sales data, and the sales volume of the target date in the historical sales curve is smoothed to obtain The smoothed historical sales curve; according to the smoothed historical sales curve, the sales data sequence is obtained; the maximum value and the minimum value in the sales data sequence are determined; Each data in the sales data sequence is normalized to obtain the normalized sales data sequence; according to the normalized sales data sequence, determine the sales data connected at least one day before the time point to be predicted sequence; according to the sequence of sales data connected at least one day before the time point to be predicted, obtain the forecast sequence; use the preset forecast model to predict according to the forecast sequence, and obtain ...

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Abstract

The invention discloses a data processing method, a data processing device and a storage medium. The method comprises the following steps: obtaining historical sales volume data corresponding to a to-be-predicted time point, building a historical sales volume curve graph according to the historical sales volume data, carrying out the smoothing of the sales volume of a target date in the historicalsales volume curve graph, and obtaining a smoothed historical sales volume curve graph; obtaining a sales data sequence according to the smoothed historical sales curve graph; determining a maximum value and a minimum value in the sales volume data sequence; normalizing the data in the sales volume data sequence according to the maximum value and the minimum value to obtain a normalized sales volume data sequence; determining a sales data sequence of at least one day before the to-be-predicted time point according to the sales data sequence; obtaining a prediction sequence according to the sales data sequence of at least one day before the to-be-predicted time point; predicting by using a preset prediction model to obtain a first prediction result; and determining a season index to adjustthe first prediction result to obtain a second prediction result.

Description

technical field [0001] The present invention relates to prediction technology, in particular to a data processing method, device and computer-readable storage medium. Background technique [0002] With the continuous progress of society and the continuous improvement of people's living standards, the shopping level of consumers is also improving, and the demand for high-quality and high-end products is becoming stronger and stronger. This has also brought unprecedented challenges and higher requirements to the product structure and consumption patterns of the entire market. In order to better control inventory, reduce financial pressure, and then fundamentally control costs and increase profits, there is an urgent need for effective sales forecasting methods for products, especially for large-volume commodity industries. [0003] At present, the industry is in the process of transforming to intelligent manufacturing, and how to effectively forecast sales is also the core pr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06N3/04G06N3/08
CPCG06Q10/04G06N3/08G06N3/045G06N3/044
Inventor 张晨静
Owner 卓尔智联(武汉)研究院有限公司
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