Sale forecasting method based on big data mining of cloud service platform

A technology of cloud service platform and forecasting method, which is applied in the field of sales forecasting based on cloud service platform big data mining, can solve problems such as forecast confusion, lack of attribute values, difficulty in meeting forecasting requirements, etc., and achieve high efficiency and simple methods

Inactive Publication Date: 2014-08-13
CHENGDU DMI TECH
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AI Technical Summary

Problems solved by technology

Prediction involves the processing of massive data, and traditional methods cannot meet the requirements of operating efficiency, computing performance, accuracy and storage space
The data required for prediction contains a lot of incomplete (missing attribute values ​​​​or only contain aggregated data), noisy (errors or outlie

Method used

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  • Sale forecasting method based on big data mining of cloud service platform
  • Sale forecasting method based on big data mining of cloud service platform
  • Sale forecasting method based on big data mining of cloud service platform

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Embodiment Construction

[0034] The embodiment of the present invention provides a sales prediction method based on big data mining of the cloud service platform, which specifically includes: performing data mining analysis based on the historical distribution success data of the warehouse to predict the expected sales situation; predicting the sales volume and growth rate.

[0035] Seasonal exponential smoothing method: a. Find the mathematical model that describes the overall development trend of the entire time series, that is, the trend equation that separates the trend; b. Find out the impact of seasonal changes on the forecast object, that is, separate the seasonal influence; c. Combine the trend equation with seasonal factors Combined to obtain a forecasting model that can describe the overall development of the time series and use it for forecasting.

[0036] Improved seasonal exponential smoothing algorithm description:

[0037] The seasonal exponential smoothing algorithm has three basic sm...

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Abstract

The invention discloses a sale forecasting method based on big data mining of a cloud service platform. The method specifically includes the step of conducting data mining analysis according to data of historical successful goods distribution of a warehouse, forecasting a prospective sale condition and forecasting the sale quantity and the growth rate according to historical sale data of the goods. According to the sale forecasting method based on the big data mining of the cloud service platform, sale data of existing orders and goods distribution data of the warehouse are analyzed and forecasted; the method is simple, efficient and capable of meeting actual demands.

Description

technical field [0001] The invention belongs to electronic information technology, relates to big data and cloud computing applications in e-commerce, in particular to a sales prediction method based on cloud service platform big data mining. Background technique [0002] With the development of market economy and economic globalization, enterprises are facing increasingly fierce market competition. If an enterprise wants to win the competition and obtain customers, it must provide products to customers at the lowest cost in the fastest time, which makes accurate and timely product sales forecast and the resulting reliable decision-making become the key to the success of modern enterprises. The key factor, from which some sales forecasting systems also came into being. With the development of computer technology, network technology, communication technology and Internet technology and the automation of various business operation processes, enterprises have generated tens or...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/00G06F17/30
Inventor 尹训春杨壹梁恒李富强
Owner CHENGDU DMI TECH
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