Article distribution method, system and device and storage medium

An item and threshold setting technology, applied in the field of logistics management, can solve the problems of long distribution time and low distribution efficiency, and achieve the effect of improving distribution efficiency

Pending Publication Date: 2020-03-10
BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem to be solved by the present invention is that express delivery in the prior art has defects such as long delivery time for each i

Method used

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  • Article distribution method, system and device and storage medium
  • Article distribution method, system and device and storage medium
  • Article distribution method, system and device and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] like figure 1 As shown, the delivery method of the article in this embodiment includes:

[0063] S101. Obtain the historical delivery time corresponding to the user;

[0064] Among them, the historical delivery time includes the time when the item is successfully delivered, the time when the item delivery fails and / or the time when the item cannot be received as reported by the user;

[0065] S102. Establish a probability prediction model according to the historical delivery time;

[0066] Among them, the probability prediction model is used to predict the probability that users can receive items in different time periods;

[0067] S103. When delivering the item, recommend different time periods corresponding to the probability of exceeding the set threshold to the delivery personnel.

[0068] Generally, the set threshold is 80%, but the set threshold is not limited to 80%, and may be other values, which may be adaptively adjusted according to actual conditions.

[...

Embodiment 2

[0071] like figure 2 As shown, the delivery method of the article in this embodiment is a further improvement on Embodiment 1, specifically:

[0072] Before step S102 includes:

[0073] S1020. Obtain at least one of the delivery address of the item, the location information of the user, and the delivery time spent by the delivery personnel;

[0074] Among them, the user's location information is the historical location information of the user at that time and the current real-time location information of the user obtained by the delivery personnel when delivering the item before, and the location information can only be obtained with the prior consent or authorization of the user.

[0075] Step S102 includes:

[0076] S1021. Establish a probabilistic prediction model according to at least one of the delivery address of the item, the location information of the user, and the time spent on the delivery journey of the delivery personnel, as well as the historical delivery time...

Embodiment 3

[0095] like image 3 As shown, the item delivery system in this embodiment includes a delivery time acquisition module 1 , a model building module 2 and a recommendation module 3 .

[0096] The delivery time acquisition module 1 is used to acquire the historical delivery time corresponding to the user;

[0097] Among them, the historical delivery time includes the time when the item is successfully delivered, the time when the item delivery fails and / or the time when the item cannot be received as reported by the user;

[0098] The model building module 2 is used to establish a probability prediction model according to the historical delivery time, and the probability prediction model is used to predict the probability that the user can receive the item in different time periods;

[0099] The recommendation module 3 is used to recommend different time periods corresponding to the probability of exceeding the set threshold to the delivery personnel when delivering the item.

...

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Abstract

The invention discloses an article distribution method, system and device and a storage medium. The distribution method comprises the steps that historical distribution time corresponding to a user isacquired; establishing a probability prediction model according to the historical distribution time, wherein the probability prediction model is used for predicting the probability that the user canreceive articles in different time periods; and when the articles are distributed, recommending different time periods corresponding to the probabilities exceeding a set threshold value to distribution personnel. According to the invention, when the articles are delivered, different time periods corresponding to the probabilities exceeding the set threshold are recommended to the deliveryman, andthe delivery time of the articles is determined according to the recommended different time periods for delivery, so that the delivery efficiency is improved, the delivery time of each article is shortened, and the workload of the deliveryman is reduced.

Description

technical field [0001] The present invention relates to the technical field of logistics management, in particular to a delivery method, system, equipment and storage medium for articles. Background technique [0002] At present, in the process of delivery and express delivery, for large-scale items to be delivered, the delivery personnel will generally communicate with the user one day in advance (such as calling or sending text messages), and arrange delivery after confirming the appropriate delivery time; For goods, the delivery personnel usually climb the stairs or wait for the elevator to go upstairs after arriving at the community, and knock on the door to deliver the goods after arriving at the destination. If there is no answer after knocking on the door many times (there may be no one at home), the delivery personnel will call the user again Communicating the next appropriate delivery time will cause the delivery to fail. At the same time, the delivery personnel wil...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/08
CPCG06Q10/04G06Q10/0838
Inventor 王帅
Owner BEIJING JINGDONG SHANGKE INFORMATION TECH CO LTD
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