Warehouse price data prediction method and device, electronic equipment and readable storage medium

Abstract

The invention discloses a warehouse price data prediction method and device, electronic equipment and a readable storage medium, and relates to the technical field of logistics warehouse data processing. Warehouse data is divided into first-line city warehouse data, second-line city warehouse data and other city warehouse data for statistics, then a data sequence diagram is drawn, the data distribution state of the data sequence diagram is observed, the stability and tendency of the data distribution state are observed, and the accuracy of the prediction data can be improved by adopting the specific prediction data model to predict the data. The prediction method provided by the invention not only has relatively high prediction precision, but also has a relatively stable prediction data model, has a free error correction capability, and has certain inclusivity to fluctuation caused by emergencies.

Description

technical field [0001] The present invention relates to the technical field of logistics warehouse data processing, and more specifically relates to a warehouse price data prediction method, device, electronic equipment and readable storage medium. Background technique [0002] With the rapid development of Internet technology, there are more and more Internet-based services, such as logistics and warehousing services. As the demand side of logistics warehousing, in order to reduce logistics costs, it is necessary to comprehensively consider the warehouse area, location, price, etc. As a service provider that provides logistics and warehousing services, in order to improve its own service level, it will try its best to provide more convenient services for the demand side. [0003] Since the demand side needs to comprehensively consider all aspects of warehouse data in the process of finding a warehouse, such as area, location, price, etc., the warehouse area data is determi...

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Problems solved by technology

[0003] Since the demand side needs to comprehensively consider all aspects of warehouse data in the process of finding a warehouse, such as area, location, price, etc., the warehouse area data is determined according to the demand side’s demand area, and the warehouse location can also be determined. Determined according to the demand of the demand side; but the price of the warehouse cannot be determined according to the demand of the demand side

[0004] When the demand side is looking for a warehouse, the current price of the required warehouse cannot be used as the basis for the demand side's budget cost, because the demand side is planning for the next week or even a month when looking for a warehouse, that is to say, the warehouse found The current price does not reflect the price of the next week or month, which makes the cost budget error rate of the demand side larger. After the warehouse is determined, the actual price may exceed the budget cost of the demand side, which will bring a lot of pressure to the demand side. Inconvenience

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