Method, system and medium for order management of goods with less shipping damage based on big data analysis

An order management and big data technology, applied in data processing applications, commerce, buying and selling/lease transactions, etc., can solve the problems of reducing the timeliness of replenishment transportation, low level of replenishment management, and waiting time, etc., to extend logistics transportation. The effect of cycle time, shortening route distance and improving timeliness

Active Publication Date: 2022-07-08
NANJING OLO HOUSEHOLD CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] With the continuous development of Internet technology, many e-commerce shopping platforms have been born. In this case, people's shopping mode has gradually shifted from physical stores to online shopping, resulting in a large number of commodity orders. In the process, due to the inadequate logistics and transportation management of the third-party logistics company, the ordered goods are prone to damage and shortage of goods during the logistics and transportation process, thus forming an order for goods with shipping damage and shortage of goods. When this abnormal situation occurs, In order to ensure the integrity of the goods in the order delivered to the customer, it is necessary to replenish the order of the damaged goods in a timely manner. However, due to the lack of the entire logistics transportation route for the order Due to the consideration of time and cycle, the level of replenishment management is low, which is reflected in the following two aspects:
[0003] 1. Single selection of target replenishment warehouses: Currently, when there is an order for damaged goods and less goods in the process of logistics and transportation, the delivery warehouse or the nearest replenishment is generally selected according to the logistics transportation location where the order for goods with less goods or less goods is shipped. The warehouse is used as the target replenishment warehouse for replenishment. This single nearest selection method does not take into account the relationship between the location of the nearest replenishment warehouse and the location of the logistics transportation location of the order for goods that have been damaged or missing goods, on the entire logistics transportation route. The location of the nearest replenishment warehouse is behind the logistics transportation location of the order for goods with missing shipments, and the nearest selection method is adopted, which will invisibly extend the distance of the replenishment transportation route, which not only increases the logistics transportation cost of replenishment, but also reduces Improve the timeliness of replenishment transportation;
[0004] 2. Single choice of replenishment transportation type: currently, after determining the target replenishment warehouse, it is all carried out together at the logistics transportation location where the order for goods with missing shipments occurs and waits for the replenishment goods sent from the target replenishment warehouse to arrive. Synchronous transportation, because this type of transportation does not consider the efficiency of replenishment transportation, the waiting time is long and wasteful, which leads to the extension of the entire logistics transportation cycle, reduces the punctuality of transportation, and affects customer shopping satisfaction

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method, system and medium for order management of goods with less shipping damage based on big data analysis
  • Method, system and medium for order management of goods with less shipping damage based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments; based on the The embodiments of the present invention, and all other embodiments obtained by those of ordinary skill in the art without creative work, fall within the protection scope of the present invention.

[0045] refer to figure 1 As shown, in the first aspect, the present invention provides a method for managing orders for goods with less shipping damage and less goods based on big data analysis, including the following steps:

[0046] S1. Judgment of orders with less shipping damage: Judging whether a commodity order is an order with less shipping damage is performed by the order judgment module with less shipping damage. The specifi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method, a system and a medium for managing orders with less shipping damage and less goods based on big data analysis. By judging the merchandise orders with less shipping damages, when the judgment result is an order with less shipping damages, the order is first determined. For orders with less freight loss, the entire logistics transportation route and cycle are comprehensively considered, and then the target replenishment warehouse and replenishment transportation type of the order with less freight loss are selected and determined according to the corresponding selection basis, which makes up for the current shortage of freight loss. The single defect of the target replenishment warehouse and the selection of replenishment transportation types in the replenishment of orders for short-stock commodities, which not only guarantees the timeliness of replenishment of orders with low-stock orders, but also reduces the logistics and transportation costs of replenishment, and also protects transportation losses. The punctuality of the logistics and transportation of orders for goods with few goods in stock has improved the level of replenishment management of orders of goods with few goods that have been damaged in shipment.

Description

technical field [0001] The invention belongs to the technical field of commodity order management, and in particular relates to the replenishment management of commodity orders with less transport damage, in particular to a method, system and medium for managing orders for commodities with less transport damage and less cargo based on big data analysis. Background technique [0002] With the continuous development of Internet technology, many e-commerce shopping platforms have been born. In this case, people's shopping mode has gradually shifted from physical stores to online shopping, resulting in a large number of commodity orders. In the process, due to the inadequate logistics and transportation management of the third-party logistics company, the ordered goods are prone to abnormal situations of damage and shortage of goods during the logistics and transportation process, thus forming an order for goods with less freight and less goods. When such an abnormal situation oc...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/06G06Q10/08
CPCG06Q30/0635G06Q10/083G06Q10/087
Inventor 李双喜纪顺海黄涛
Owner NANJING OLO HOUSEHOLD CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products