CN112036706A - Logistics channel preferred allocation method, device, equipment and storage medium - Google Patents

Logistics channel preferred allocation method, device, equipment and storage medium Download PDF

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CN112036706A
CN112036706A CN202010790341.9A CN202010790341A CN112036706A CN 112036706 A CN112036706 A CN 112036706A CN 202010790341 A CN202010790341 A CN 202010790341A CN 112036706 A CN112036706 A CN 112036706A
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logistics
channel
distribution
weight
channels
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黄树佳
宋燚
吴学强
易辉
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Shenzhen Emmett Supply Chain Management Co ltd
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Shenzhen Emmett Supply Chain Management Co ltd
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    • G06QINFORMATION 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
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
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Abstract

The invention relates to the technical field of e-commerce services, and discloses a method, a device, equipment and a storage medium for preferentially distributing logistics channels, which are used for reducing logistics cost in e-commerce transactions. The method comprises the following steps: receiving a logistics order and a logistics channel distribution request sent by a front end, wherein the logistics order comprises an order number, recipient information, product attributes and logistics attributes; determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks; comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel; and responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.

Description

Logistics channel preferred allocation method, device, equipment and storage medium
Technical Field
The invention relates to the technical field of e-commerce services, in particular to a method, a device, equipment and a storage medium for preferentially distributing logistics channels.
Background
In the e-commerce industry, due to the fact that the consignees are distributed in cities, regions and even countries, policies of different places are different, corresponding logistics channels are many, cost differences of different logistics channels are large, in the cross-border e-commerce field, the existing logistics channel distribution method can only obtain a group of logistics channels which can be matched according to the consignee countries and the weights, then the highest mode is taken out according to the priorities, and control and reduction of logistics cost are not achieved.
Disclosure of Invention
The invention mainly aims to solve the problems that the control is not realized and the logistics cost is not reduced in the logistics channel distribution method, and provides a logistics channel preferred distribution method, a device, equipment and a storage medium based on freight price priority.
In order to achieve the above object, a first aspect of the present invention provides a method for preferentially distributing logistics channels, including:
receiving a logistics order and a logistics channel distribution request sent by a front end, wherein the logistics order comprises an order number, recipient information, product attributes and logistics attributes;
determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks;
comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel;
and responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
Optionally, in another implementation manner of the first aspect of the present invention, before determining the logistics configuration parameters of each logistics channel corresponding to the logistics order according to a preset logistics distribution rule, the method further includes:
acquiring logistics information determined according to a delivery place from different logistics channels in advance, wherein the logistics information comprises logistics data, warehousing data, operation data and goods return data;
and summarizing the logistics information to determine the preset logistics distribution rule.
Optionally, in another implementation manner of the first aspect of the present invention, the determining, according to a preset logistics distribution rule, logistics configuration parameters of each logistics channel corresponding to the logistics order specifically includes:
identifying recipient information from the logistics order and determining a corresponding delivery location;
acquiring distributable logistics channels corresponding to the preset logistics distribution rules and logistics information of each logistics channel according to the distribution places;
and determining corresponding logistics configuration parameters according to the logistics information of each logistics channel.
Optionally, in another implementation manner of the first aspect of the present invention, the returning the optimal logistics channel and the corresponding logistics configuration parameter to the front end in response to the logistics channel allocation request specifically includes:
acquiring a corresponding logistics company, a logistics freight, a delivery mode, a storage place and a logistics track according to an optimal logistics channel determined by the logistics channel allocation request, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information;
summarizing and counting the logistics configuration parameters of the optimal logistics channel according to a preset data table;
and returning the summarized and counted parameters to the front end according to a preset visualization mode.
Optionally, in another implementation manner of the first aspect of the present invention, the front end includes a user end and a merchant end, where the user end is at least one of a WEB-PC end, an H5 mobile end, a wechat end, an android end, and an ios end; the merchant terminal is at least one of a PC terminal and a mobile terminal;
the data table is of a Mysql table type and adopts at least one of DBD, HEAP, ISAM, MERGE, MyIASM, InnodB and Gemeni.
Optionally, in another implementation manner of the first aspect of the present invention, the logistics data includes: logistics companies, logistics codes, platform codes, online types, warehouses, tracking numbers, quotas, sizes, platforms, attributes, minimum weights, maximum weights, first weight, first price, interval price, weight errors, discounts, number fees, registration discounts, attribute allocation, scheme groups, currencies, partitions, designated countries, excluded countries;
the warehousing data comprises: warehouse, warehouse age, unit price, currency, billing type, minimum billing volume, discount, warehouse rental quarter, new product days, free period;
the warehousing cost data comprises: warehouse, charging type, unit price, currency, maximum weight, minimum weight, discount, interval price, highest charge, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the operational data includes: warehouse name, delivery country, charging type, unit price, currency, maximum weight of pricing interval, minimum weight of pricing interval, first weight, first price, weight interval price, maximum weight, quantity interval price, maximum quantity, discount, maximum charge, order type, packaging weight, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the return data includes: the name of the warehouse, whether the warehouse returns, the charging type, the unit price, the currency, the maximum weight of the pricing interval, the minimum weight of the pricing interval, the first price, the weight interval, the price of the weight interval, the discount and the highest charge.
The second aspect of the present invention provides a preferred distribution device for logistics channels, comprising:
the system comprises an order and request receiving module, a logistics channel distribution module and a management module, wherein the order and request receiving module is used for receiving a logistics order and a logistics channel distribution request sent by a front end, and the logistics order comprises an order number, recipient information, product attributes and logistics attributes;
the logistics configuration parameter determining module is used for determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks;
the comparison and preference module is used for comparing the logistics freight of each logistics channel and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel;
and the data returning module is used for responding to the distribution request of the logistics channels and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
Optionally, in another implementation manner of the second aspect of the present invention, the apparatus further includes:
the logistics information acquisition module is used for acquiring logistics information determined according to the delivery location from different logistics channels in advance, and the logistics information comprises logistics data, storage data, warehousing data, operation data and return data;
and the summarizing and rule determining module is used for summarizing the logistics information and determining the preset logistics distribution rule.
Optionally, in another implementation manner of the second aspect of the present invention, the logistics configuration parameter determination module specifically includes:
the delivery location determining unit is used for identifying the recipient information from the logistics order and determining a corresponding delivery location;
the logistics information acquisition unit is used for acquiring the corresponding distributable logistics channels in the preset logistics distribution rule and the logistics information of each logistics channel according to the dispatching places;
and the logistics configuration parameter determining unit is used for determining corresponding logistics configuration parameters according to the logistics information of each logistics channel.
Optionally, in another implementation manner of the second aspect of the present invention, the data return module specifically includes:
the information acquisition unit is used for acquiring a corresponding logistics company, logistics freight, a delivery mode, a storage place and a logistics track according to the optimal logistics channel determined by the logistics channel allocation request, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information;
the statistical unit is used for summarizing and counting the logistics configuration parameters of the optimal logistics channel according to a preset data table;
and the visualization and return unit is used for returning the summarized and counted parameters to the front end according to a preset visualization mode.
Optionally, in another implementation manner of the second aspect of the present invention, the front end includes a user end and a merchant end, where the user end is at least one of a WEB-PC end, an H5 mobile end, a wechat end, an android end, and an ios end; the merchant terminal is at least one of a PC terminal and a mobile terminal;
the data table is of a Mysql table type and adopts at least one of DBD, HEAP, ISAM, MERGE, MyIASM, InnodB and Gemeni.
Optionally, in another implementation manner of the second aspect of the present invention, the logistics data includes: logistics companies, logistics codes, platform codes, online types, warehouses, tracking numbers, quotas, sizes, platforms, attributes, minimum weights, maximum weights, first weight, first price, interval price, weight errors, discounts, number fees, registration discounts, attribute allocation, scheme groups, currencies, partitions, designated countries, excluded countries;
the warehousing data comprises: warehouse, warehouse age, unit price, currency, billing type, minimum billing volume, discount, warehouse rental quarter, new product days, free period;
the warehousing cost data comprises: warehouse, charging type, unit price, currency, maximum weight, minimum weight, discount, interval price, highest charge, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the operational data includes: warehouse name, delivery country, charging type, unit price, currency, maximum weight of pricing interval, minimum weight of pricing interval, first weight, first price, weight interval price, maximum weight, quantity interval price, maximum quantity, discount, maximum charge, order type, packaging weight, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the return data includes: the name of the warehouse, whether the warehouse returns, the charging type, the unit price, the currency, the maximum weight of the pricing interval, the minimum weight of the pricing interval, the first price, the weight interval, the price of the weight interval, the discount and the highest charge.
The third aspect of the present invention provides a preferred distribution device for logistics channels, comprising: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor invokes the instructions in the memory to cause the logistics channel preferential allocation apparatus to perform the method of the first aspect described above.
A fourth aspect of the present invention provides a computer-readable storage medium having stored therein instructions which, when run on a computer, cause the computer to perform the method of the first aspect described above.
In the technical scheme provided by the invention, a logistics order and a logistics channel distribution request sent by a front end are received, wherein the logistics order comprises an order number, recipient information, product attributes and logistics attributes; determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks; comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel; and responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end. The embodiment of the invention selects the logistics channel with the least logistics freight as the optimal logistics channel by comparison and returns the optimal logistics channel to the front end sending the distribution request of the logistics channel.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a process diagram of an embodiment of a method for preferentially distributing logistics channels according to an embodiment of the invention;
FIG. 2 is a process diagram of another embodiment of the method for preferentially distributing logistics channels according to the embodiment of the invention;
FIG. 3 is a process diagram of another embodiment of the method for preferentially distributing logistics channels according to the embodiment of the invention;
FIG. 4 is a process diagram of another embodiment of the method for preferentially distributing logistics channels according to the embodiment of the invention;
FIG. 5 is a schematic diagram of an embodiment of a preferred distribution device of a logistics channel according to an embodiment of the invention;
fig. 6 is a schematic diagram of an embodiment of the distribution channel preferential distribution apparatus according to the embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a method, a device, equipment and a storage medium for preferentially distributing logistics channels, which are used for reducing the cost of local software deployment.
In order to make the technical field of the invention better understand the scheme of the invention, the embodiment of the invention will be described in conjunction with the attached drawings in the embodiment of the invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," or "having," and any variations thereof, are intended to cover non-exclusive inclusions, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In the e-commerce industry, due to the fact that the consignees are distributed in cities, regions and even countries, policies of different places are different, corresponding logistics channels are large, cost differences of different logistics channels are large, particularly in the cross-border e-commerce field, the existing logistics channel distribution method can only obtain a group of logistics channels which can be matched according to the consignee and the weight, then the highest mode is taken out according to the priority, and control and reduction of logistics cost are not achieved. The invention provides a logistics channel preferred distribution method for E-commerce service, which is characterized in that a logistics channel with the least logistics freight is selected as an optimal logistics channel and returned to the front end of a logistics channel distribution request.
Referring to fig. 1, an embodiment of a method for preferentially distributing logistics channels according to an embodiment of the present invention includes:
step 101, receiving a logistics order and a logistics channel distribution request sent by a front end, wherein the logistics order comprises an order number, recipient information, a product attribute and a logistics attribute.
Specifically, the back end of the server receives a logistics order sent by the front end and has a logistics channel distribution request, wherein the logistics channel distribution request is request data in a url format, the front end comprises a user end and a merchant end, and the user end is at least one of a WEB-PC end, an H5 mobile end, a WeChat end, an android end and an ios end; the merchant terminal is at least one of a PC terminal and a mobile terminal; it can be seen that the front end of the present invention generally employs WEB clients in the form of browsers, etc., optionally, the back end of the server is developed by a universal open source scripting language PHP, and employs a nginx cluster server framework, wherein a data layer in the nginx cluster server is composed of database clusters in three forms for data storage and data processing, and the database clusters in three forms are mysql cluster, redis cluster, and elastic search cluster, respectively. The front end and the back end are separated, and data interaction is realized by using a JSON interface. Furthermore, the logistics order comprises an order number, recipient information, product attributes and logistics attributes, the product order number and the recipient information of the product sent by the front end can be known from the logistics order, the delivery location of the product destination can be known from the recipient information of the product, and the logistics attributes are the delivery modes of the logistics, such as sea transportation, air transportation or land transportation.
Step 102, determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks.
Specifically, after receiving the logistics order and the logistics channel allocation request sent by the front end, the back end of the server determines the logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics allocation rules, and can match the corresponding logistics channel and the logistics configuration parameters of each logistics channel to the received logistics order quickly through logistics allocation planning, so that the logistics freight of each logistics channel is obtained.
Further, referring to fig. 3, in another embodiment of the method for preferentially distributing logistics channels according to the embodiment of the present invention, the determining the logistics configuration parameters of each logistics channel corresponding to the logistics order according to a preset logistics distribution rule specifically includes:
step 301, identifying recipient information from the logistics order, and determining a corresponding delivery location;
step 302, acquiring distributable logistics channels and logistics information of each logistics channel corresponding to the preset logistics distribution rule according to the distribution place;
step 303, determining corresponding logistics configuration parameters according to the logistics information of each logistics channel.
Understandably, the server identifies the recipient information from the logistics order so as to determine a corresponding delivery place; specifically, the recipient information includes the name, telephone number, address, zip code, etc. of the recipient, the delivery location for delivering the consignee can be determined. Acquiring distributable logistics channels corresponding to the preset logistics distribution rules and logistics information of each logistics channel according to the distribution places; therefore, the corresponding logistics configuration parameters are determined according to the logistics information of each logistics channel, and as more logistics information data are contained in each channel, the corresponding logistics configuration parameters can be obtained by determining the delivery location according to the preset logistics distribution rules, such as calculating the corresponding logistics freight according to the logistics information data.
Further, the logistics information comprises logistics data, warehousing data, operation data and goods returning data; wherein the logistics data comprises: logistics companies, logistics codes, platform codes, online types, warehouses, tracking numbers, quotas, sizes, platforms, attributes, minimum weights, maximum weights, top prices, intervals, interval prices, weight errors, discounts, number fees, registration discounts, attribute assignments, scheme groups, currencies, divisions, designated countries, excluded countries.
The warehousing data comprises: warehouse, warehouse age, unit price, currency, billing type, minimum billing volume, discount, lease quarter, new days, free period.
The warehousing cost data comprises: warehouse, billing type, unit price, currency, maximum weight, minimum weight, discount, interval price, top charge, volume weight coefficient, weight addition coefficient, quantity addition coefficient.
The operational data includes: warehouse name, delivery country, charge type, unit price, currency, maximum weight of pricing interval, minimum weight of pricing interval, first weight, first price, weight interval price, maximum weight, quantity interval price, maximum quantity, discount, maximum charge, order type, package weight, volume weight coefficient, weight additional coefficient and quantity additional coefficient.
The return data includes: the name of the warehouse, whether the warehouse returns, the charging type, the unit price, the currency, the maximum weight of the pricing interval, the minimum weight of the pricing interval, the first price, the weight interval, the price of the weight interval, the discount and the highest charge.
Further, referring to fig. 2, in another embodiment of the method for preferentially distributing logistics channels according to the embodiment of the present invention, before determining the logistics configuration parameters of each logistics channel corresponding to the logistics order according to the preset logistics distribution rule, the method further includes:
step 201, obtaining logistics information determined according to a delivery place from different logistics channels in advance, wherein the logistics information comprises logistics data, warehousing data, operation data and return data;
step 202, summarizing the logistics information and then determining the preset logistics distribution rule.
Specifically, the server acquires the logistics information determined according to the delivery location from different logistics channels in advance, and determines the preset logistics distribution rule by summarizing the logistics information, wherein the preset logistics distribution rule is the logistics channel determined according to the delivery location and the corresponding logistics configuration parameters, so that the selectable logistics channel and the corresponding logistics freight can be determined according to the recipient information in the logistics order by the preset logistics distribution rule.
103, comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel.
Specifically, after the server determines the selectable logistics channels and the corresponding logistics freight according to the delivery location in the logistics order, the logistics channel corresponding to the minimum logistics freight is selected as the optimal logistics channel by comparing the logistics freight of each logistics channel, so that the best distribution logistics channel is selected preferentially in a mode of giving priority to freight price, and the logistics channel with the lowest logistics cost can be rapidly designated after the delivery location is determined.
And step 104, responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
Specifically, after determining the logistics channel with the lowest logistics cost of the received logistics order, the server responds to the logistics channel distribution request, and returns the obtained optimal logistics channel and the corresponding logistics configuration parameters to the front end of the request, so that the front end can automatically and quickly select the optimal logistics channel, and the logistics cost of the e-commerce enterprises is reduced.
Further, referring to fig. 4, in another embodiment of the method for optimally allocating a logistics channel according to the embodiment of the present invention, the returning the optimal logistics channel and the corresponding logistics configuration parameters to the front end in response to the request for allocating a logistics channel specifically includes:
step 401, acquiring a corresponding logistics company, a logistics freight, a delivery mode, a storage place and a logistics track according to an optimal logistics channel determined by the logistics channel allocation request, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information;
step 402, summarizing and counting the logistics configuration parameters of the optimal logistics channel according to a preset data table;
and 403, returning the summarized and counted parameters to the front end according to a preset visualization mode.
Specifically, the server acquires a corresponding logistics company, logistics freight, a delivery mode, a storage place and a logistics track from logistics information according to a determined optimal logistics channel, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information, and performs summary statistics on logistics configuration parameters of the optimal logistics channel through a preset data table and stores the statistical data into a Mysql cluster database, wherein the data table is of a Mysql table type and can adopt at least one of DBD, HEAP, ISAM, MERGE, MyIASM, InnodB and Gemeni; and finally, returning the summarized and counted parameters to the front end according to a preset visualization mode, wherein the preset visualization mode can be a form of a table or a form of a graph. Therefore, the invention can return the optimal logistics channel and the corresponding logistics configuration parameters to the front end in a data visualization display mode.
To sum up, the logistics channel optimization allocation method provided by the invention receives a logistics order and a logistics channel allocation request sent by a front end, wherein the logistics order comprises an order number, recipient information, product attributes and logistics attributes; determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks; comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel; and responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end. The embodiment of the invention selects the logistics channel with the least logistics freight as the optimal logistics channel by comparison and returns the selected logistics channel to the front end of the logistics channel distribution request.
With reference to fig. 5, the method for preferentially distributing physical distribution channels in the embodiment of the present invention is described above, and a device for preferentially distributing physical distribution channels in the embodiment of the present invention is described below, where an embodiment of the device for preferentially distributing physical distribution channels in the embodiment of the present invention includes:
the second aspect of the present invention provides a preferred distribution device for logistics channels, comprising:
the order and request receiving module 11 is configured to receive a logistics order and a logistics channel distribution request sent by a front end, where the logistics order includes an order number, recipient information, a product attribute, and a logistics attribute;
the logistics configuration parameter determining module 12 is configured to determine logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, where the logistics configuration parameters include logistics companies, logistics freight, shipping modes, storage locations, and logistics tracks;
the comparison and optimization module 13 is used for comparing the logistics freight of each logistics channel and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel;
and the data returning module 14 is configured to respond to the distribution request of the logistics channels, and return the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
Optionally, in another embodiment of the distribution channel preferential distribution apparatus of the present invention, the apparatus further includes:
the logistics information acquisition module is used for acquiring logistics information determined according to the delivery location from different logistics channels in advance, and the logistics information comprises logistics data, storage data, warehousing data, operation data and return data;
and the summarizing and rule determining module is used for summarizing the logistics information and determining the preset logistics distribution rule.
Optionally, in another embodiment of the preferred distribution device of a logistics channel of the present invention, the logistics configuration parameter determining module specifically includes:
the delivery location determining unit is used for identifying the recipient information from the logistics order and determining a corresponding delivery location;
the logistics information acquisition unit is used for acquiring the corresponding distributable logistics channels in the preset logistics distribution rule and the logistics information of each logistics channel according to the dispatching places;
and the logistics configuration parameter determining unit is used for determining corresponding logistics configuration parameters according to the logistics information of each logistics channel.
Optionally, in another embodiment of the preferred distribution device of logistics channels of the present invention, the data return module specifically includes:
the information acquisition unit is used for acquiring a corresponding logistics company, logistics freight, a delivery mode, a storage place and a logistics track according to the optimal logistics channel determined by the logistics channel allocation request, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information;
the statistical unit is used for summarizing and counting the logistics configuration parameters of the optimal logistics channel according to a preset data table;
and the visualization and return unit is used for returning the summarized and counted parameters to the front end according to a preset visualization mode.
Optionally, in another embodiment of the preferred distribution device for logistics channels of the present invention, the front end includes a user end and a merchant end, and the user end is at least one of a WEB-PC end, an H5 mobile end, a wechat end, an android end, and an ios end; the merchant terminal is at least one of a PC terminal and a mobile terminal;
the data table is of a Mysql table type and adopts at least one of DBD, HEAP, ISAM, MERGE, MyIASM, InnodB and Gemeni.
Optionally, in another embodiment of the distribution channel preferential distribution apparatus of the present invention, the logistics data includes: logistics companies, logistics codes, platform codes, online types, warehouses, tracking numbers, quotas, sizes, platforms, attributes, minimum weights, maximum weights, first weight, first price, interval price, weight errors, discounts, number fees, registration discounts, attribute allocation, scheme groups, currencies, partitions, designated countries, excluded countries;
the warehousing data comprises: warehouse, warehouse age, unit price, currency, billing type, minimum billing volume, discount, warehouse rental quarter, new product days, free period;
the warehousing cost data comprises: warehouse, charging type, unit price, currency, maximum weight, minimum weight, discount, interval price, highest charge, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the operational data includes: warehouse name, delivery country, charging type, unit price, currency, maximum weight of pricing interval, minimum weight of pricing interval, first weight, first price, weight interval price, maximum weight, quantity interval price, maximum quantity, discount, maximum charge, order type, packaging weight, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the return data includes: the name of the warehouse, whether the warehouse returns, the charging type, the unit price, the currency, the maximum weight of the pricing interval, the minimum weight of the pricing interval, the first price, the weight interval, the price of the weight interval, the discount and the highest charge.
It should be noted that the apparatus in the embodiment of the present invention may be configured to implement all technical solutions in the foregoing method embodiments, and the functions of each functional module may be implemented specifically according to the method in the foregoing method embodiments, and the specific implementation process may refer to the relevant description in the foregoing example, which is not described herein again.
Fig. 5 describes the preferred distribution device of the logistics channel in the embodiment of the present invention in detail from the perspective of the modular functional entity, and the preferred distribution device of the logistics channel in the embodiment of the present invention is described in detail from the perspective of hardware processing.
Fig. 6 is a schematic structural diagram of a logistics channel preferential allocation apparatus according to an embodiment of the present invention, where the logistics channel preferential allocation apparatus 600 may generate relatively large differences due to different configurations or performances, and may include one or more processors (CPUs) 601 (e.g., one or more processors) and a memory 609, and one or more storage media 608 (e.g., one or more mass storage devices) storing applications 607 or data 606. Memory 609 and storage media 608 may be, among other things, transient or persistent storage. The program stored on the storage medium 608 may include one or more modules (not shown), each of which may include a series of instruction operations in a boolean variable store computed on a graph. Still further, the processor 601 may be configured to communicate with the storage medium 608, and execute a series of instruction operations in the storage medium 608 on the distribution channel preferential distribution apparatus 600.
The distribution channel preferred distribution facility 600 may also include one or more power supplies 602, one or more wired or wireless network interfaces 603, one or more input-output interfaces 604, and/or one or more operating systems 605, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. It will be understood by those skilled in the art that the structure of the distribution channel preferential distribution apparatus shown in fig. 3 does not constitute a limitation of the distribution channel preferential distribution apparatus, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. 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 and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a read-only memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.

Claims (10)

1. A logistics channel optimization distribution method is characterized by comprising the following steps:
receiving a logistics order and a logistics channel distribution request sent by a front end, wherein the logistics order comprises an order number, recipient information, product attributes and logistics attributes;
determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks;
comparing the logistics freight of each logistics channel, and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel;
and responding to the distribution request of the logistics channels, and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
2. The method of claim 1, wherein before determining the logistics configuration parameters of each logistics channel corresponding to the logistics order according to a preset logistics distribution rule, the method further comprises:
acquiring logistics information determined according to a delivery place from different logistics channels in advance, wherein the logistics information comprises logistics data, warehousing data, operation data and goods return data;
and summarizing the logistics information to determine the preset logistics distribution rule.
3. The method for preferentially distributing logistics channels according to claim 2, wherein the determining of the logistics configuration parameters of each logistics channel corresponding to the logistics order according to the preset logistics distribution rules specifically comprises:
identifying recipient information from the logistics order and determining a corresponding delivery location;
acquiring distributable logistics channels corresponding to the preset logistics distribution rules and logistics information of each logistics channel according to the distribution places;
and determining corresponding logistics configuration parameters according to the logistics information of each logistics channel.
4. The method for optimally distributing logistics channels according to claim 2, wherein the step of returning the optimal logistics channel and the corresponding logistics configuration parameters to the front end in response to the request for distributing logistics channels specifically comprises:
acquiring a corresponding logistics company, a logistics freight, a delivery mode, a storage place and a logistics track according to an optimal logistics channel determined by the logistics channel allocation request, wherein the logistics track comprises a logistics channel name, a tracking number, a logistics state, an operation state, a delivery warehouse, delivery time, a destination place, tracking time, a passing site and remark information;
summarizing and counting the logistics configuration parameters of the optimal logistics channel according to a preset data table;
and returning the summarized and counted parameters to the front end according to a preset visualization mode.
5. The method for selecting and distributing logistics channels of claim 2, wherein the front end comprises a user end and a merchant end, and the user end is at least one of a WEB-PC end, an H5 mobile end, a WeChat end, an android end and an ios end; the merchant terminal is at least one of a PC terminal and a mobile terminal;
the data table is of a Mysql table type and adopts at least one of DBD, HEAP, ISAM, MERGE, MyIASM, InnodB and Gemeni.
6. The logistics channel preferential allocation method of claim 2, wherein the logistics data comprises: logistics companies, logistics codes, platform codes, online types, warehouses, tracking numbers, quotas, sizes, platforms, attributes, minimum weights, maximum weights, first weight, first price, interval price, weight errors, discounts, number fees, registration discounts, attribute allocation, scheme groups, currencies, partitions, designated countries, excluded countries;
the warehousing data comprises: warehouse, warehouse age, unit price, currency, billing type, minimum billing volume, discount, warehouse rental quarter, new product days, free period;
the warehousing cost data comprises: warehouse, charging type, unit price, currency, maximum weight, minimum weight, discount, interval price, highest charge, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the operational data includes: warehouse name, delivery country, charging type, unit price, currency, maximum weight of pricing interval, minimum weight of pricing interval, first weight, first price, weight interval price, maximum weight, quantity interval price, maximum quantity, discount, maximum charge, order type, packaging weight, volume weight coefficient, weight additional coefficient and quantity additional coefficient;
the return data includes: the name of the warehouse, whether the warehouse returns, the charging type, the unit price, the currency, the maximum weight of the pricing interval, the minimum weight of the pricing interval, the first price, the weight interval, the price of the weight interval, the discount and the highest charge.
7. A logistics channel preferential distribution device is characterized by comprising:
the system comprises an order and request receiving module, a logistics channel distribution module and a management module, wherein the order and request receiving module is used for receiving a logistics order and a logistics channel distribution request sent by a front end, and the logistics order comprises an order number, recipient information, product attributes and logistics attributes;
the logistics configuration parameter determining module is used for determining logistics configuration parameters of each logistics channel corresponding to the logistics order according to preset logistics distribution rules, wherein the logistics configuration parameters comprise logistics companies, logistics freight, delivery modes, storage places and logistics tracks;
the comparison and preference module is used for comparing the logistics freight of each logistics channel and selecting the logistics channel corresponding to the minimum logistics freight as the optimal logistics channel;
and the data returning module is used for responding to the distribution request of the logistics channels and returning the optimal logistics channels and the corresponding logistics configuration parameters to the front end.
8. The distribution channel preferential distribution device according to claim 7, further comprising:
the logistics information acquisition module is used for acquiring logistics information determined according to the delivery location from different logistics channels in advance, and the logistics information comprises logistics data, storage data, warehousing data, operation data and return data;
and the summarizing and rule determining module is used for summarizing the logistics information and determining the preset logistics distribution rule.
9. A distribution apparatus of a logistics channel preference, characterized in that the distribution apparatus of the logistics channel preference comprises: a memory having instructions stored therein and at least one processor, the memory and the at least one processor interconnected by a line; the at least one processor invokes the instructions in the memory to cause the logistics channel preferential allocation apparatus to perform the logistics channel preferential allocation method of any one of claims 1-6.
10. A computer-readable storage medium, on which a computer program is stored, wherein the computer program, when being executed by a processor, implements the steps of the preferred distribution method of logistics channels according to any one of claims 1-6.
CN202010790341.9A 2020-08-07 2020-08-07 Logistics channel preferred allocation method, device, equipment and storage medium Pending CN112036706A (en)

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