Express business volume prediction method, express business volume prediction system and express employee scheduling method

Abstract

The invention discloses an express business volume prediction method, an express business volume prediction system and an express employee scheduling method. The express express business volume volumeprediction method comprises the following steps: counting the daily average express volume of each unit area in an express website in a specified time period; performing summarizing to obtain the total express quantity of the express website, and determining the spreading proportion of the daily average express quantity of each unit area; and predicting the everyday express quantity of the express business of each unit area according to the total predicted express quantity of the website express and the distribution proportion. According to the embodiment of the invention, the distribution proportion of the daily average express quantity of each unit area is determined, so that the daily express quantity of the express business of each unit area is predicted according to the distributionproportion, the prediction of the daily express quantity of each unit area has objective data support and reasonable expectation, and the prediction result of the express business quantity is more accurate and reasonable.

Description

technical field [0001] The present disclosure generally relates to the express delivery industry, and specifically relates to a method for forecasting express delivery business volume, a forecast system, and a scheduling method for express delivery employees. Background technique [0002] Accurate forecasting of express delivery volume is crucial to the rational allocation of logistics company's manpower, material resources and other resources, as well as improving the timeliness of receiving and dispatching deliveries. The current express shipment volume forecast can give the forecast value of the outlet’s shipment volume, but there are the following problems: On the one hand, due to the small number of parcels after subdividing into unit areas and large fluctuations in the volume of parcels over time, the shipments in the unit area Quantity forecasting has not yet been realized, and the human resource allocation of actual express tasks is based on the unit area forecast re...

AI Technical Summary

Problems solved by technology

The current express shipment volume forecast can give the forecast value of the outlet’s shipment volume, but there are the following problems: On the one hand, due to the small number of parcels after subdividing into unit areas and large fluctuations in the volume of parcels over time, the shipments in the unit area Quantity forecasting has not yet been realized, and the human resource allocation of actual express tasks is based on the unit area forecast results, so unit area forecasting is imperative; on the other hand, most of the delivery addresses of waybills are non-standard Format, for example, express mail users use different abbreviations in the same community, some users only write the building name but not the street number, the same address has different expressions, etc., resulting in the conversion of the latitude and longitude of the address on the express mail to obtain the ownership of the waybill The accuracy of the unit area is not high, and even the receiving and dispatching address, especially the receiving address, is not filled in completely, so that the unit area to which the address belongs cannot be obtained according to the latitude and longitude

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