CN117522273A - Cargo transportation order management system - Google Patents

Cargo transportation order management system Download PDF

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CN117522273A
CN117522273A CN202311590929.XA CN202311590929A CN117522273A CN 117522273 A CN117522273 A CN 117522273A CN 202311590929 A CN202311590929 A CN 202311590929A CN 117522273 A CN117522273 A CN 117522273A
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data set
goods
data
logistics
analysis module
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班一然
王海洋
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Jincangxia Logistics Supply Chain Suzhou Co ltd
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Jincangxia Logistics Supply Chain Suzhou Co ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
    • G06Q10/083—Shipping
    • G06Q10/0834—Choice of carriers
    • G06Q10/08345—Pricing

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Abstract

The invention relates to the technical field of cargo management, and discloses a cargo transportation order management system, which comprises a data collection module, a data analysis module and a control module. The goods transportation order management system collects goods data sets through the order statistics unit, the freight statistics unit and the inventory statistics unit, the goods data sets are transmitted to the data analysis module, the system is more comprehensive in collection, accurate in record calculation, free of errors, the supply-demand difference ratio Gqcb and the freight rate estimation Yfyg are convenient for merchants to intuitively know the supply-demand relationship of goods orders, the system rapidly responds to the scheduled goods, the waiting time of customers is effectively shortened, the service experience is good, the data collection module is matched with the data analysis module, the scheduling occupation ratio Ddzb and the transportation cost Yscb are calculated, the merchants can flexibly adjust production, goods stagnation or supply and supply are avoided, the merchants can conveniently adjust real-time prices of the goods in time, loss is avoided in advance, and time and labor are saved in systematic goods scheduling.

Description

Cargo transportation order management system
Technical Field
The invention relates to the technical field of cargo management, in particular to a cargo transportation order management system.
Background
The goods order management system is a management system based on computer technology and network technology, and is used for managing goods orders of enterprises in an automatic and intelligent mode. The goods order management system can automatically process a large amount of order data, reduces the time and error rate of manual operation, and greatly improves the working efficiency. Meanwhile, the system can update the order state in real time, so that enterprises can know the order situation in time and make corresponding decisions. In order to meet the order demands of a large number of clients during the trade peak period, accurate goods information and services are provided, and the satisfaction degree of the clients can be effectively improved. In addition, the system can also provide personalized services, such as recommending corresponding products according to the purchase history and preference of the clients, so that the client experience is further improved. The modern technology goods order management system can reduce the manpower cost and the management cost of enterprises, the system can automatically process orders, the manual operation requirement is reduced, and the system helps the enterprises to optimize inventory management and logistics transportation through data analysis, so that the operation cost is reduced. The system can track the transportation condition of goods in real time, provide accurate logistics information, enable all links of a supply chain to clearly know the state and the position of the goods, reduce the problem of information asymmetry, collect and analyze a large amount of order data, and provide valuable information and insight for enterprises. Through analysis of the data, enterprises can know market demands and trends, and corresponding sales strategies and purchasing plans are formulated, so that competitiveness is improved.
At present, the conventional goods transportation order management system can only provide real-time position information of goods, in the actual use process, because of weather or geographic factors, the logistics speed is uncertain, after partial areas are out of stock, merchants need to readjust the delivery places to meet customer demands, and when the order is in peak, manual adjustment of the delivery places is time-consuming and labor-consuming, the waiting time of customers is long, and the service experience is poor.
Disclosure of Invention
(one) solving the technical problems
Aiming at the defects of the prior art, the goods transportation order management system has the advantages of time and labor saving for systematically dispatching goods, quick response, good service experience and the like, and solves the problems of time and labor waste in goods dispatching in the trade peak period.
(II) technical scheme
In order to achieve the above purpose, the present invention provides the following technical solutions: the system comprises an order counting unit, a freight counting unit and an inventory counting unit, wherein the order counting unit is connected with a data collection module through a network, the freight counting unit is connected with the data collection module through the network, the inventory counting unit is connected with the data collection module through the network, and the data collection module is connected with a data analysis module through the network;
the data analysis module is used for numbering the goods data set according to the characteristics of the goods data set, the goods data set consists of an order data set, a freight data set and an inventory data set, the data analysis module is used for calculating a supply-demand difference ratio Gqcb and a freight prediction Yfyg according to an order data set number DD, a freight data set number YF and an inventory data set number KC, the data analysis module consists of an order management unit and an inventory management unit, the data analysis module is connected with a big data cloud through a network and is used for collecting a logistics data set, the logistics data set consists of an east region data set, a south region data set, a west region data set and a north region data set, a logistics data set model is built and numbered according to the logistics data set, the logistics data set model number corresponds to the goods data set model number one by one, the data analysis module is used for calculating a dispatching occupation ratio Ddzb and a transportation cost Yscb according to the logistics data set and the goods data set, and the data analysis module is connected with the control module through the network;
the control module is connected with the logistics transportation unit through a network and is used for controlling the transportation of the goods order.
Preferably, the order statistics unit is connected with the sales platform through a network to collect the order data set in real time and transmit the value to the data analysis module, the freight statistics unit is connected with the big data cloud to collect the freight data set in real time through the network and transmit the value to the data analysis module, and the inventory statistics unit is connected with the database through the network to collect the inventory data set in real time and transmit the value to the data analysis module.
Preferably, the data analysis module classifies the data according to the characteristic of the cargo data setThe order data set, the freight data set and the inventory data set are respectively numbered, and the order data set is numbered DD 1 、DD 2 、DD 3 、...DD n The freight data set is numbered YF 1 、YF 2 、YF 3 、...YF n The stock data set is numbered KC 1 、KC 2 、KC 3 、...KC n 。
Preferably, the data analysis module calculates the difference between supply and demand according to the order data set number DD, the freight data set number YF and the inventory data set number KC, and the calculation formula is as follows:
in the formula, gqcb represents the supply-demand difference ratio,representing the proportion of the total number of orders to the total number of inventory +.>Representing the proportion of the total number of remaining goods to the total number of inventory.
Preferably, the data analysis module calculates the estimated freight Yfyg according to the order data set number DD, the freight data set number YF and the inventory data set number KC, and the calculation formula is as follows:
Yfyg＝DD n *YF n +K*YF n+1
in the formula, yfyg represents freight rate estimation and DD n Representing the total number of orders that have been shipped based on the total inventory, YF n Representing the shipping cost of a single order at a nearby shipment, K representing the total number of remaining orders that need to be remotely scheduled beyond the total inventory, YF n+1 Representing a single order shipment fee for a remote shipment.
Preferably, the data analysis module judges a supply-demand relationship according to a supply-demand difference ratio Gqcb, when the supply-demand difference ratio Gqcb is more than or equal to 0%, the order demand is smaller than the total inventory, the supply-demand relationship is in an equilibrium state, when the supply-demand difference ratio Gqcb is less than 0%, the order demand is greater than the total inventory, the supply-demand relationship is in an unbalanced state, and the logistics dispatching goods should be immediately arranged.
Preferably, the data analysis module numbers the east region data set, the south region data set, the west region data set and the north region data set according to the characteristics of the logistic data set, wherein the east region data set numbers are Dq 1 、Dq 2 、Dq 3 、...Dq n The south area data set is numbered as Nq 1 、Nq 2 、Nq 3 、...Nq n The western region data set is numbered Xq 1 、Xq 2 、Xq 3 、...Xq n The north region data set is numbered Bq 1 、Bq 2 、Bq 3 、...Bq n 。
Preferably, the data analysis module establishes a logistics data set model according to the logistics data set and numbers the logistics data set model, the logistics data set model numbers are in one-to-one correspondence with the cargo data set model numbers, and the east data set model numbers are Dq DD 、Dq YF And Dq KC The Western region dataset model number is Xq DD 、Xq YF And Xq KC The south area data set model number is Nq DD 、Nq YF And Nq KC The north region data set model number is Bq DD 、Bq YF And Bq KC 。
Preferably, the data analysis module calculates the scheduling duty ratio according to the logistics data set and the cargo data set, and the calculation formula is as follows:
in the formula, ddzb represents the scheduling duty cycle,representing the proportion of orders that can be scheduled within the east logistics range,representing the proportion of orders schedulable in the western district logistics range,/->Indicating the proportion of schedulable orders in the south area logistics range,/->Representing the proportion of orders that can be scheduled within the south-district logistics range.
Preferably, the data analysis module calculates the transportation cost according to the logistics data set and the goods data set, and the calculation formula is as follows:
in the formula, yscb represents the transportation cost,indicating that the east region needs to increase the number of orders scheduled, < >>Indicating that western district needs to increase the number of orders scheduled, +.>Indicating that south area needs to increase the number of orders scheduled, +.>Indicating that the number of orders scheduled needs to be increased in the north area, YF n Representing a single order shipping cost.
Compared with the prior art, the invention provides a cargo transportation order management system, which comprises the following components
The beneficial effects are that:
1. according to the invention, the goods data sets are collected through the order counting unit, the freight counting unit and the inventory counting unit and are transmitted to the data analysis module through the network, the system collects information more comprehensively, the record is accurate, the calculation is error-free, the data analysis module calculates the supply-demand difference ratio Gqcb and the freight rate estimation Yfyg, the business can conveniently and intuitively know the supply-demand relation of goods orders, the system can rapidly respond to the scheduled goods, the waiting time of a customer is effectively shortened, and the service experience is better.
2. According to the invention, the data collection module is used for collecting the goods data set in real time, the data analysis module is matched with the big data cloud to collect the logistics data set, the dispatching occupation ratio Ddzb and the transportation cost Yscb are calculated, the total production quantity can be flexibly adjusted by a merchant, the condition of goods stagnation or supply shortage is avoided, the merchant can conveniently adjust the real-time price of the goods in time according to the operation cost, the defect condition is avoided in advance, and the time and labor are saved in systematic dispatching of the goods.
Drawings
FIG. 1 is a schematic diagram of the structural system of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, a cargo transportation order management system includes an order statistics unit, a freight statistics unit and an inventory statistics unit, wherein the order statistics unit is connected with a data collection module through a network, the order statistics unit is connected with a sales platform through a network to collect the order data set in real time and transmit the value to a data analysis module, the freight statistics unit is connected with the data collection module through a network to collect the freight data set in real time through a big data cloud, and transmit the value to the data analysis module, the inventory statistics unit is connected with the data collection module through a network, the inventory statistics unit is connected with a database through a network to collect the inventory data set in real time and transmit the value to the data analysis module, and the data collection module is connected with the data analysis module through a network;
the data analysis module numbers the goods according to the characteristics of the goods data set, the goods data set consists of an order data set, a freight data set and an inventory data set, and the order data set numbers are DD1 and DD 2 、DD 3 、...DD n Numbering, namely, the freight data set number is YF according to each order of the goods purchased by the customer through the sales platform 1 、YF 2 、YF 3 、...YF n The number corresponds to each one-way freight from the delivery site to the customer receiving site, and the inventory data set is numbered KC 1 、KC 2 、KC 3 、...KC n The serial number corresponds to the order quantity stored in the goods delivery place, the system collects information more comprehensively, the response is quick, the record is accurate, the calculation is free of errors, and the data analysis module calculates the supply-demand difference ratio Gqcb and the freight rate estimation Yfyg according to the serial number DD of an order data set, the serial number YF of a freight rate data set and the serial number KC of an inventory data set, wherein the calculation formula is as follows:
in the formula, gqcb represents the supply-demand difference ratio,representing the proportion of the total number of orders to the total number of inventory +.>Representing the ratio of the total number of the remaining goods to the total number of the stock, when +.>When the supply and demand are greater than 0, the inventory of the delivery place is remained, and the follow-up growing order can be freely dealt with, when +.>When 0 or less, the delivery site is in an out-of-stock state, and the goods cannot be transported nearby with the lowest logistics cost, and need to be counted by the systemCalculating the optimal scheme of remote goods dispatching;
Yfyg＝DD n *YF n +K*YF n+1
in the formula, yfyg represents freight rate estimation and DD n Representing the total number of orders that have been shipped based on the total inventory, YF n Representing the shipping cost of a single order at a nearby shipment, K representing the total number of remaining orders that need to be remotely scheduled beyond the total inventory, YF n+1 The method has the advantages that the method represents the transportation cost of a single order in a remote delivery place, and when repeated or invalid orders are removed, the method is convenient for merchants to adjust real-time price of goods in time according to operation cost, and the system analysis supply and demand relationship is clearer and more accurate;
the data analysis module judges a supply-demand relation according to a supply-demand difference ratio Gqcb, when the supply-demand difference ratio Gqcb is more than or equal to 0%, the order demand is smaller than the total stock, the supply-demand relation is in an equilibrium state, a safety threshold can be set according to the total production amount and the average sales amount of merchants, the stock goods amount of each delivery area is ensured, the order is flexibly corresponding to the increase of the order, when the supply-demand difference ratio Gqcb is less than 0%, the order demand is greater than the total stock, the supply-demand relation is in an unbalanced state, the logistics dispatching goods are immediately arranged, the safety threshold stock amount is reached, and the balance of the supply-demand relation is ensured;
the data analysis module is composed of an order management unit and an inventory management unit, is connected with a big data cloud through a network and is used for collecting a logistics data set, the logistics data set is composed of an east region data set, a south region data set, a west region data set and a north region data set, the data analysis module numbers the east region data set, the south region data set, the west region data set and the north region data set according to the characteristics of the logistics data set, and the east region data set numbers are Dq 1 、Dq 2 、Dq 3 、...Dq n South area dataset number Nq 1 、Nq 2 、Nq 3 、...Nq n The western region dataset is numbered Xq 1 、Xq 2 、Xq 3 、...Xq n North region dataset number Bq 1 、Bq 2 、Bq 3 、...Bq n The data analysis module establishes a logistics data set model according to the logistics data set, numbers the logistics data set model and the logistics data setThe model numbers correspond to the cargo data set model numbers one by one, and the eastern area data set model numbers are Dq DD 、Dq YF And Dq KC The Western region dataset model number is Xq DD 、Xq YF And Xq KC The south area dataset model number is Nq DD 、Nq YF And Nq KC North region dataset model number Bq DD 、Bq YF And Bq KC The data analysis module calculates the dispatching duty ratio Ddzb and the transportation cost Yscb according to the logistics data set and the goods data set, and transmits the numerical value to the control module, wherein the calculation formula is as follows:
in the formula, ddzb represents the scheduling duty cycle,representing the proportion of orders that can be scheduled within the east logistics range,representing the proportion of orders schedulable in the western district logistics range,/->Indicating the proportion of schedulable orders in the south area logistics range,/->Representing the proportion of schedulable orders in the logistics range of the south area, and according to the scheduling duty ratio Ddzb, merchants can flexibly adjust the total production amount to avoid the conditions of goods stagnation or supply and demand;
in the formula, yscb represents the transportation cost,indicating that the east region needs to increase the number of orders scheduled, < >>Indicating that western district needs to increase the number of orders scheduled, +.>Indicating that south area needs to increase the number of orders scheduled, +.>Indicating that the number of orders scheduled needs to be increased in the north area, YF n Representing single order transportation freight, and according to the transportation cost Yscb, facilitating merchants to adjust real-time price of goods in time according to the operation cost, and avoiding loss condition in advance;
the data analysis module is connected with the control module through a network, and transmits the supply-demand difference ratio Gqcb, the freight rate estimation Yfyg, the dispatching duty ratio Ddzb and the transportation cost Yscb to the control system in a numerical form, so that a manager can conveniently and intuitively know the supply-demand relation of a goods order, the system can quickly respond to dispatching goods, the waiting time of a customer is effectively shortened, and the service experience is better;
the control module is connected with the logistics transportation unit through a network and is used for controlling the transportation of the goods order, and the scheduling scheme is calculated rapidly through the system during the trade peak period, so that time and labor are saved, and misjudgment is reduced.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A cargo transportation order management system, characterized by: the system comprises an order counting unit, a freight counting unit and an inventory counting unit, wherein the order counting unit is used for collecting a goods data set, the order counting unit is connected with a data collecting module through a network, the freight counting unit is connected with the data collecting module through a network, the inventory counting unit is connected with the data collecting module through a network, and the data collecting module is connected with a data analyzing module through a network;
the data analysis module is used for numbering the goods data set according to the characteristics of the goods data set, the goods data set consists of an order data set, a freight data set and an inventory data set, the data analysis module is used for calculating a supply-demand difference ratio Gqcb and a freight prediction Yfyg according to an order data set number DD, a freight data set number YF and an inventory data set number KC, the data analysis module consists of an order management unit and an inventory management unit, the data analysis module is connected with a big data cloud through a network and is used for collecting a logistics data set, the logistics data set consists of an east region data set, a south region data set, a west region data set and a north region data set, a logistics data set model is built and numbered according to the logistics data set, the logistics data set model number corresponds to the goods data set model number one by one, the data analysis module is used for calculating a dispatching occupation ratio Ddzb and a transportation cost Yscb according to the logistics data set and the goods data set, and the data analysis module is connected with the control module through the network;
the control module is connected with the logistics transportation unit through a network and is used for controlling the transportation of the goods order.
2. A cargo transportation order management system as claimed in claim 1, wherein: the order statistics unit is connected with the sales platform through a network and is used for collecting an order data set in real time and transmitting the value to the data analysis module, the freight statistics unit is connected with the big data cloud end through the network and is used for collecting the freight data set in real time and transmitting the value to the data analysis module, and the inventory statistics unit is connected with the database through the network and is used for collecting an inventory data set in real time and transmitting the value to the data analysis module.
3. A cargo transportation order management system as claimed in claim 2, wherein: the saidThe data analysis module respectively numbers an order data set, a freight charge data set and an inventory data set according to the characteristics of the goods data set, wherein the number of the order data set is DD 1 、DD 2 、DD 3 、...DD n The freight data set is numbered YF 1 、YF 2 、YF 3 、...YF n The stock data set is numbered KC 1 、KC 2 、KC 3 、...KC n 。
4. A cargo transportation order management system as claimed in claim 3, wherein: the data analysis module calculates a supply-demand difference ratio according to an order data set number DD, a freight data set number YF and an inventory data set number KC, and the calculation formula is as follows:
in the formula, gqcb represents the supply-demand difference ratio,representing the proportion of the total number of orders to the total number of inventory +.>Representing the proportion of the total number of remaining goods to the total number of inventory.
5. A cargo transportation order management system as claimed in claim 3, wherein: the data analysis module calculates the estimated freight rate Yfyg according to the order data set number DD, the freight rate data set number YF and the inventory data set number KC, and the calculation formula is as follows:
Yfyg＝DD n *YF n +K*YF n+1
in the formula, yfyg represents freight rate estimation and DD n Representing the total number of orders that have been shipped based on the total inventory, YF n Representing a single order shipping fee at a nearby shipping location, K representsThe total number of the remaining orders which need to be remotely scheduled beyond the total number of the stock, YF n+1 Representing a single order shipment fee for a remote shipment.
6. A cargo transportation order management system as recited in claim 4, wherein: the data analysis module judges a supply-demand relation according to a supply-demand difference ratio Gqcb, when the supply-demand difference ratio Gqcb is more than or equal to 0%, the order demand is smaller than the total inventory, the supply-demand relation is in an equilibrium state, when the supply-demand difference ratio Gqcb is less than 0%, the order demand is greater than the total inventory, the supply-demand relation is in an unbalanced state, and logistics dispatching goods should be immediately arranged.
7. A cargo transportation order management system as claimed in claim 1, wherein: the data analysis module respectively numbers an east region data set, a south region data set, a west region data set and a north region data set according to the characteristics of the logistics data set, wherein the east region data set is numbered as Dq 1 、Dq 2 、Dq 3 、...Dq n The south area data set is numbered as Nq 1 、Nq 2 、Nq 3 、...Nq n The western region data set is numbered Xq 1 、Xq 2 、Xq 3 、...Xq n The north region data set is numbered Bq 1 、Bq 2 、Bq 3 、，..Bq n 。
8. A cargo transportation order management system as recited in claim 7, wherein: the data analysis module establishes a logistics data set model according to the logistics data set and numbers the logistics data set model, the logistics data set model numbers correspond to the cargo data set model numbers one by one, and the east data set model numbers are Dq DD 、Dq YF And Dq KC The Western region dataset model number is Xq DD 、Xq YF And Xq KC The south area data set model number is Nq DD 、Nq YF And Nq KC The north region data set model number is Bq DD 、Bq YF And Bq KC 。
9. A cargo transportation order management system as recited in claim 7, wherein: the data analysis module calculates the dispatching duty ratio according to the logistics data set and the goods data set, and the calculation formula is as follows:
in the formula, ddzb represents the scheduling duty cycle,indicating the proportion of schedulable orders within the east logistics range,/->Representing the proportion of orders schedulable in the western district logistics range,/->Representing the proportion of orders that can be scheduled within the south-district logistics range,representing the proportion of orders that can be scheduled within the south-district logistics range.
10. A cargo transportation order management system as recited in claim 8, wherein: the data analysis module calculates the transportation cost according to the logistics data set and the goods data set, and the calculation formula is as follows:
in the formula, yscb represents the transportation cost,indicating that the east region needs to increase the number of orders scheduled, < >>Indicating that western district needs to increase the number of orders scheduled, +.>Indicating that south area needs to increase the number of orders scheduled, +.>Indicating that the number of orders scheduled needs to be increased in the north area, YF n Representing a single order shipping cost.
CN202311590929.XA 2023-11-27 2023-11-27 Cargo transportation order management system Pending CN117522273A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118014314A (en) * 2024-04-08 2024-05-10 南通优睿半导体有限公司 Semiconductor work management system

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN118014314A (en) * 2024-04-08 2024-05-10 南通优睿半导体有限公司 Semiconductor work management system

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