Method for predicting sales volume of oil products based on time regression sequence

A forecasting method and time series model technology, applied in the field of data processing, can solve problems such as single attributes

Pending Publication Date: 2021-08-27
美唐科技(青岛)有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, the historical data attributes accumulated by the data management cloud platform only include time, sales and sales, and the attributes are relatively single

Method used

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  • Method for predicting sales volume of oil products based on time regression sequence
  • Method for predicting sales volume of oil products based on time regression sequence
  • Method for predicting sales volume of oil products based on time regression sequence

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Embodiment Construction

[0036] In order to make the object, technical solution and advantages of the present invention clearer, the implementation manner of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0037] The following will be combined with figure 1 ~ attached Figure 5 , a method for forecasting sales of refined oil products based on time regression series in an embodiment of the present invention will be described in detail.

[0038] A method for forecasting sales of refined oil products based on time regression series provided by an embodiment of the present invention includes:

[0039] 100: Obtain sales data of a gas station for a period of time, wherein the sales data includes a date and sales corresponding to the date;

[0040] Specifically, the sales data of a gas station or a certain period of time in the service area can be exported from the gas station data management cloud platform. Gas station sales data for Januar...

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Abstract

The invention discloses a method for predicting the sales volume of oil products based on a time regression sequence, and belongs to the technical field of data processing. A time sequence algorithm in a data mining algorithm is applied to the oil product sales industry, and a gas station sales volume prediction model is established based on gas station historical sales data on a data management cloud platform; through short-term prediction of the sales volume of the gas station, the periodic change of the sales volume of product oil is mastered for the gas station, the price advantage is mastered, and reasonable promotion activities and means are prompted in time, and finally precise marketing is realized. The sales trend of the product oil is mastered, which is beneficial for promoting faster interaction between gas station operation and suppliers, so that the management speed of the product oil is accelerated; the method is beneficial for the tax department to grasp the dynamic state of the product oil market in advance, further strengthens the supervision and management of the industry, and provides decision support and technical support for specifying laws and adjustments related to the operation order of the product oil market.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a method for forecasting sales of refined oil based on time regression series. Background technique [0002] In order to strengthen industry taxation management, plug management loopholes, do a good job in clearing and rectifying the field of refined oil dredging, and further standardize the taxation order in the refined oil market, use fuel dispenser data acquisition equipment and wireless level gauge data acquisition equipment to implement collection of gas station fuel dispensers The data and level meter data are encrypted and transmitted to the data management cloud platform using a secure wireless mobile network to complete the sorting and collection of gas station data. [0003] In the data management cloud platform, real-time monitoring of the transaction data of each gas station is realized. As far as the refined oil sales industry is concerned, it is particularly...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
CPCG06Q30/0202G06Q30/0201
Inventor 孙铁昆张姗姗
Owner 美唐科技(青岛)有限公司
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