CN111401650A - Client order access management method and system - Google Patents
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Abstract
The invention discloses a client order access management method and a system, wherein the client order access management method comprises the following steps: receiving a plurality of logistics orders to be executed, and acquiring goods receiving and dispatching place information corresponding to each logistics order; configuring a corresponding transportation route according to the goods receiving and dispatching place information corresponding to each logistics order; the plurality of logistics orders are combined based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a combined logistics order, so that the transportation efficiency is improved, the plurality of transportation routes corresponding to the plurality of logistics orders are combined to generate a combined logistics order, and the transportation cost is reduced.
Description
Technical Field
The invention relates to the field of logistics, in particular to a client order access management method and system.
Background
With the improvement of production technology and management technology, the competition among enterprises is getting fierce day by day, and the logistics activity fields such as transportation, storage, packaging, loading and unloading, circulation processing and the like are more and more paid more attention by people. At present, the problems of different receiving and dispatching places of logistics orders, different types of transport vehicles and transport cost result in low distribution efficiency, high service cost and resource waste.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a client order access management method and a client order access management system, and aims to solve the technical problems of low transportation efficiency and high transportation cost in the current logistics transportation process.
In order to achieve the above object, the present invention provides a client order access management method, which comprises the following steps:
receiving a plurality of logistics orders to be executed, and acquiring goods receiving and dispatching place information corresponding to each logistics order;
configuring a corresponding transportation route according to the goods receiving and dispatching place information corresponding to each logistics order;
and combining the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a combined logistics order.
Preferably, whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to the logistics orders is detected;
and if so, merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree to generate corresponding merged logistics orders.
Preferably, cargo weight information of the first logistics order is obtained;
and configuring the transport vehicle corresponding to the load model based on the cargo weight information of the first logistics order.
Preferably, a second logistics order except the first logistics order in the plurality of logistics orders is confirmed;
and optimizing the transportation cost of the second logistics order to obtain the optimal transportation plan corresponding to the second logistics order.
Preferably, determining a necessary transportation place of the second stream order according to the receiving and dispatching place information of the second stream order;
determining a plurality of transportation plans corresponding to the second logistics order according to the necessary transportation place of the second logistics order;
and acquiring the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order based on the pre-trained stowage function and the cost function.
Preferably, a transportation parameter corresponding to each transportation plan is obtained;
and inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function and a pre-trained cost function, and obtaining the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order.
Preferably, the transportation parameters corresponding to each transportation plan are respectively input into a pre-trained stowage function, and stowage rate corresponding to each transportation plan is obtained;
determining a plurality of target transportation plans of which the stowage rate is higher than a preset stowage rate in the plurality of transportation plans;
and respectively inputting the transportation parameters corresponding to each target transportation plan into a pre-trained cost function, and acquiring the transportation cost corresponding to each target transportation plan so as to determine the optimal transportation plan with the lowest transportation cost.
In addition, to achieve the above object, the present invention further provides a system, where the client order access management system includes:
the logistics order module is used for receiving a plurality of logistics orders to be executed and acquiring the goods receiving and dispatching place information corresponding to each logistics order;
the transportation route management module is used for configuring a corresponding transportation route according to the receiving and dispatching place information corresponding to each logistics order;
and the automatic loading optimization module is used for merging the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a merged logistics order.
Preferably, the detecting unit is configured to detect whether a first logistics order corresponding to a first transportation route with a route overlap ratio larger than a preset route overlap ratio exists in transportation routes corresponding to the plurality of logistics orders;
and the merging unit is used for merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree if the first logistics orders exist, and generating corresponding merged logistics orders.
In addition, to achieve the above object, the present invention further provides a computer readable storage medium, having a client order access management program stored thereon, where the client order access management program, when executed by a processor, implements the steps of the client order access management method according to any one of the above items.
According to the client order access management method provided by the invention, a plurality of logistics orders to be executed are received, the goods receiving and dispatching place information corresponding to each logistics order is obtained, then the corresponding transportation routes are configured according to the goods receiving and dispatching place information corresponding to each logistics order, and finally the plurality of logistics orders are combined based on the route coincidence degree of the transportation routes corresponding to the plurality of logistics orders to generate the combined logistics order, so that the transportation efficiency is improved, the plurality of transportation routes corresponding to the plurality of logistics orders are combined to generate the combined logistics order, and the transportation cost is reduced.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a first embodiment of a client order access management method according to the present invention;
fig. 3 is a flowchart illustrating a client order access management method according to a second embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
Optionally, the terminal may further include a camera, a Radio Frequency (RF) circuit, a sensor, an audio circuit, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor that may adjust the brightness of the display screen according to the brightness of ambient light, and a proximity sensor that may turn off the display screen and/or the backlight when the mobile terminal is moved to the ear. As one of the motion sensors, the gravity acceleration sensor can detect the magnitude of acceleration in each direction (generally, three axes), detect the magnitude and direction of gravity when the mobile terminal is stationary, and can be used for applications (such as horizontal and vertical screen switching, related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer and tapping) and the like for recognizing the attitude of the mobile terminal; of course, the mobile terminal may also be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer-readable storage medium, may include therein an operating system, a network communication module, a user interface module, and a client order access management program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be used to invoke a client order access management program stored in the memory 1005.
In this embodiment, the data processing apparatus based on a block chain includes: a memory 1005, a processor 1001 and a client order access management program stored on the memory 1005 and operable on the processor 1001, wherein when the processor 1001 calls the client order access management program stored in the memory 1005, the following operations are performed:
receiving a plurality of logistics orders to be executed, and acquiring goods receiving and dispatching place information corresponding to each logistics order;
configuring a corresponding transportation route according to the goods receiving and dispatching place information corresponding to each logistics order;
and combining the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a combined logistics order.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
detecting whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to the logistics orders;
and if so, merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree to generate corresponding merged logistics orders.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
acquiring cargo weight information of a first logistics order;
and configuring the transport vehicle corresponding to the load model based on the cargo weight information of the first logistics order.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
confirming a second logistics order except the first logistics order in the plurality of logistics orders;
and optimizing the transportation cost of the second logistics order to obtain the optimal transportation plan corresponding to the second logistics order.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
determining the transport location of the second stream order according to the receiving and dispatching location information of the second stream order;
determining a plurality of transportation plans corresponding to the second logistics order according to the necessary transportation place of the second logistics order;
and acquiring the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order based on the pre-trained stowage function and the cost function.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
acquiring transportation parameters corresponding to each transportation plan;
and inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function and a pre-trained cost function, and obtaining the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order.
Further, the processor 1001 may call the client order access management program stored in the memory 1005, and also perform the following operations:
respectively inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function, and acquiring the stowage rate corresponding to each transportation plan;
determining a plurality of target transportation plans of which the stowage rate is higher than a preset stowage rate in the plurality of transportation plans;
and respectively inputting the transportation parameters corresponding to each target transportation plan into a pre-trained cost function, and acquiring the transportation cost corresponding to each target transportation plan so as to determine the optimal transportation plan with the lowest transportation cost.
The invention further provides a client order access management method, and referring to fig. 2, fig. 2 is a schematic flow chart of a first embodiment of the client order access management method of the invention.
The client order access management method comprises the following steps:
step S10, receiving a plurality of logistics orders to be executed, and acquiring the goods receiving and dispatching place information corresponding to each logistics order;
in the field of logistics, it can be understood that a primary logistics transportation plan includes information of four dimensions, namely, a vehicle type of a transportation vehicle, a transportation route, a transportation cargo volume corresponding to a current transportation route, and a transportation cost.
In the embodiment of the present invention, a plurality of logistics orders to be executed are received, and the information of the receiving and dispatching places corresponding to each logistics order is obtained, specifically, the client order access management method provided in the embodiment of the present invention is implemented based on a client order access management system, specifically, the client order access management system collects all the order information to be executed into a stowage pool, and configures a corresponding transportation plan for the order information in the stowage pool.
Step S30, configuring corresponding transportation routes according to the receiving and dispatching place information corresponding to each logistics order;
in the step, after obtaining a plurality of goods receiving and dispatching place information corresponding to a plurality of logistics orders, configuring a corresponding transportation route according to the goods receiving and dispatching place information corresponding to each logistics order, wherein optionally, a plurality of transportation routes corresponding to a plurality of goods receiving and dispatching places are configured according to the plurality of goods receiving and dispatching place information, optionally, a transportation route corresponds to each logistics order, each logistics order only has the goods receiving and dispatching place information, therefore, each logistics order can have a plurality of transportation routes, one transportation route with the lowest transportation cost needs to be selected from the plurality of transportation routes, specifically, necessary transportation places among the goods receiving and dispatching places are determined, then a plurality of transportation plans among the goods receiving and dispatching places are determined according to the necessary transportation places, and finally, a pre-trained allocation function and a cost function can be based, an optimal transportation plan with the lowest transportation cost in the plurality of transportation plans is determined.
And step S30, merging the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a merged logistics order.
In this step, in order to reduce transportation cost, in the embodiment of the present invention, a plurality of transportation routes corresponding to a plurality of logistics orders are merged, specifically, a logistics order whose route coincidence degree reaches a certain threshold value is split and merged, a merged logistics order is generated, the logistics orders are processed in a centralized transportation manner, and a transportation vehicle corresponding to a load model is configured for the merged logistics order, specifically, merged cargo weight information after merging the order is obtained, and a transportation vehicle corresponding to the load model is configured according to the merged cargo weight information.
According to the client order access management method provided by the invention, a plurality of logistics orders to be executed are received, the goods receiving and dispatching place information corresponding to each logistics order is obtained, then the corresponding transportation routes are configured according to the goods receiving and dispatching place information corresponding to each logistics order, and finally the plurality of logistics orders are combined based on the route coincidence degree of the transportation routes corresponding to the plurality of logistics orders to generate the combined logistics order, so that the transportation efficiency is improved, the plurality of transportation routes corresponding to the plurality of logistics orders are combined to generate the combined logistics order, and the transportation cost is reduced.
Based on the first embodiment, a second embodiment of the present invention is proposed, referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of a client order access management method according to the present invention, in this embodiment, step S30 includes:
step S301, detecting whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to the logistics orders;
step S302, if yes, merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree to generate corresponding merged logistics orders.
In this step, it can be understood that, in order to improve the allocation rate of transportation vehicles and reduce transportation cost, in the embodiment of the present invention, transportation routes with high repetition rate may be merged, specifically, whether there is a first logistics order corresponding to a first transportation route with a route coincidence degree greater than a preset route coincidence degree among transportation routes corresponding to a plurality of logistics orders, and if so, the first logistics order corresponding to the first transportation route with the route coincidence degree greater than the preset route coincidence degree is merged to generate a corresponding merged logistics order, wherein the preset route coincidence degree may be flexibly set based on specific situations, for example, if there are five transportation routes currently, a transportation route one is from a-B-C-D-E, a transportation route two is from B-C-D, a transportation route three is from a-C-D-G-H, a transportation route four is from B-C-D-E-F, the fifth transport route is H-G-D-B, so that the first transport route, the second transport route and the fourth transport route can be combined, and further, if the time limit of the customer in the logistics order corresponding to the fifth transport route is long enough, the fifth transport route can be combined.
Further, after step S302, the method further includes,
step S303, acquiring the cargo weight information of the first logistics order;
and step S304, configuring a transportation vehicle corresponding to the load model based on the cargo weight information of the first logistics order.
In the step, after a plurality of first logistics orders with the route coincidence degree larger than the preset route coincidence degree are merged to generate corresponding merged logistics orders, the cargo weight information of the plurality of first logistics orders is obtained, and the transport vehicle with the corresponding load model is configured based on the cargo weight information of the first logistics orders.
Further, after step S304, the method further includes,
step S305, confirming a second logistics order except the first logistics order in a plurality of logistics orders;
step S306, optimizing the transportation cost of the second logistics order to obtain an optimal transportation plan corresponding to the second logistics order.
In this step, after combining the current several combinable first logistics orders, the remaining logistics orders are processed continuously, specifically, a second logistics order except the first logistics order in the several logistics orders is confirmed, wherein understandably, the second logistics order is a logistics order with a route overlap ratio smaller than or equal to a preset route overlap ratio in the transportation routes corresponding to the logistics orders, and then transportation cost optimization is performed on the second logistics order to obtain an optimal transportation plan corresponding to the second logistics order, wherein understandably, each logistics order can have a plurality of transportation routes, one transportation route with the lowest transportation cost needs to be selected from the plurality of transportation routes, specifically, necessary transportation sites between the transceiving sites are determined, and then several transportation plans between the transceiving sites are determined according to the necessary transportation sites, and finally, determining the transportation cost corresponding to each transportation plan, and taking the transportation plan with the lowest transportation cost as the optimal transportation plan.
Specifically, step S306 includes the steps of,
step S307, determining a necessary transportation place of the second stream order according to the receiving and dispatching place information of the second stream order;
step S308, determining a plurality of transportation plans corresponding to the second logistics order according to the necessary transportation places of the second logistics order;
step S309, based on the pre-trained stowage function and cost function, obtaining the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order.
In this step, specifically, a location where the second logistics order must be transported is determined according to the information of the location where the second logistics order is received and shipped, then a plurality of transportation plans corresponding to the second logistics order are determined according to the location where the second logistics order must be transported, and then an optimal transportation plan with the lowest transportation cost among the plurality of transportation plans corresponding to the second logistics order is obtained based on a pre-trained stowage function and a pre-trained cost function, wherein the pre-trained stowage function and the pre-trained cost function can be trained based on historical logistics transportation data.
Specifically, the step S309 of obtaining the optimal transportation plan with the lowest transportation cost among the plurality of transportation plans corresponding to the second logistics order based on the pre-trained stowage function and cost function includes the steps of,
the method comprises the steps of obtaining transportation parameters corresponding to each transportation plan, inputting the transportation parameters corresponding to each transportation plan to a pre-trained stowage function and a pre-trained cost function, obtaining the optimal transportation plan with the lowest transportation cost in a plurality of transportation plans corresponding to a second logistics order, specifically, inputting the transportation parameters corresponding to each transportation plan to the pre-trained stowage function, obtaining the stowage rate corresponding to each transportation plan, determining a plurality of target transportation plans with the stowage rate higher than the pre-set stowage rate in the plurality of transportation plans, inputting the transportation parameters corresponding to each target transportation plan to the pre-trained cost function, obtaining the transportation cost corresponding to each target transportation plan, and determining the optimal transportation plan with the lowest transportation cost.
The client order access management method provided by the invention has the advantages that whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to a plurality of logistics orders or not is detected, if yes, the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree are merged to generate a corresponding merged logistics order, and the logistics orders with the route coincidence degree larger than the preset route coincidence degree are merged to reduce the transportation cost.
In addition, an embodiment of the present invention further provides a client order access management system, where the client order access management system includes:
the logistics order module is used for receiving a plurality of logistics orders to be executed and acquiring the goods receiving and dispatching place information corresponding to each logistics order;
the transportation route management module is used for configuring a corresponding transportation route according to the receiving and dispatching place information corresponding to each logistics order;
and the automatic loading optimization module is used for merging the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a merged logistics order.
Further, the automatic loading optimization module comprises
The system comprises a detection unit, a display unit and a control unit, wherein the detection unit is used for detecting whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to a plurality of logistics orders;
and the merging unit is used for merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree if the first logistics orders exist, and generating corresponding merged logistics orders.
In addition, an embodiment of the present invention further provides a computer-readable storage medium, where a client order access management program is stored on the computer-readable storage medium, and when executed by a processor, the client order access management program implements the steps of the above-mentioned client order access management system in various embodiments.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (9)
1. A client order access management method is characterized by comprising the following steps:
receiving a plurality of logistics orders to be executed, and acquiring goods receiving and dispatching place information corresponding to each logistics order;
configuring a corresponding transportation route according to the goods receiving and dispatching place information corresponding to each logistics order;
and combining the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a combined logistics order.
2. The client order access management method according to claim 1, wherein the step of merging the plurality of logistics orders based on route overlap ratios of transportation routes corresponding to the plurality of logistics orders comprises:
detecting whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to the logistics orders;
and if so, merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree to generate corresponding merged logistics orders.
3. The client order access management method of claim 2, wherein the step of generating the corresponding consolidated logistics order is followed by further comprising:
acquiring cargo weight information of a first logistics order;
and configuring the transport vehicle corresponding to the load model based on the cargo weight information of the first logistics order.
4. The client order access management method according to claim 3, wherein after the step of configuring the transportation vehicle corresponding to the load model based on the cargo weight information of the first logistics order, the method further comprises:
confirming a second logistics order except the first logistics order in the plurality of logistics orders;
and optimizing the transportation cost of the second logistics order to obtain the optimal transportation plan corresponding to the second logistics order.
5. The client order access management method according to claim 4, wherein the step of optimizing the transportation cost of the second logistics order to obtain the optimal transportation plan corresponding to the second logistics order comprises:
determining the transport location of the second stream order according to the receiving and dispatching location information of the second stream order;
determining a plurality of transportation plans corresponding to the second logistics order according to the necessary transportation place of the second logistics order;
and acquiring the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order based on the pre-trained stowage function and the cost function.
6. The client order access management method according to claim 5, wherein the step of obtaining an optimal transportation plan with the lowest transportation cost among a plurality of transportation plans corresponding to the second logistics order based on a pre-trained stowage function and a cost function comprises:
acquiring transportation parameters corresponding to each transportation plan;
and inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function and a pre-trained cost function, and obtaining the optimal transportation plan with the lowest transportation cost in the plurality of transportation plans corresponding to the second logistics order.
7. The client-side order access management method according to any one of claims 1 to 6, wherein the step of inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function and cost function to obtain an optimal transportation plan with the lowest transportation cost among a plurality of transportation plans corresponding to the second flow order comprises:
respectively inputting the transportation parameters corresponding to each transportation plan into a pre-trained stowage function, and acquiring the stowage rate corresponding to each transportation plan;
determining a plurality of target transportation plans of which the stowage rate is higher than a preset stowage rate in the plurality of transportation plans;
and respectively inputting the transportation parameters corresponding to each target transportation plan into a pre-trained cost function, and acquiring the transportation cost corresponding to each target transportation plan so as to determine the optimal transportation plan with the lowest transportation cost.
8. A client order access management system, the client order access management system comprising:
the logistics order module is used for receiving a plurality of logistics orders to be executed and acquiring the goods receiving and dispatching place information corresponding to each logistics order;
the transportation route management module is used for configuring a corresponding transportation route according to the receiving and dispatching place information corresponding to each logistics order;
and the automatic loading optimization module is used for merging the plurality of logistics orders based on the route overlap ratio of the transportation routes corresponding to the plurality of logistics orders to generate a merged logistics order.
9. The client order access management system of claim 8, wherein the automatic stowage optimization module comprises:
the system comprises a detection unit, a display unit and a control unit, wherein the detection unit is used for detecting whether a first logistics order corresponding to a first transportation route with the route coincidence degree larger than the preset route coincidence degree exists in the transportation routes corresponding to a plurality of logistics orders;
and the merging unit is used for merging the first logistics orders corresponding to the first transportation route with the route coincidence degree larger than the preset route coincidence degree if the first logistics orders exist, and generating corresponding merged logistics orders.
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