CN114493449A - Order information processing method, device and equipment - Google Patents
Order information processing method, device and equipment Download PDFInfo
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- CN114493449A CN114493449A CN202210110402.1A CN202210110402A CN114493449A CN 114493449 A CN114493449 A CN 114493449A CN 202210110402 A CN202210110402 A CN 202210110402A CN 114493449 A CN114493449 A CN 114493449A
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Abstract
The application provides an order information processing method, an order information processing device and order information processing equipment. The order information processing method comprises the following steps: receiving to-be-processed logistics order information sent by a user terminal, wherein the logistics order information comprises: starting position information and target position information; calculating to obtain estimated data of each logistics merchant in the candidate logistics merchant set on logistics order information according to the initial position information, the target position information and a pre-stored data estimation rule of the candidate logistics merchant set; selecting target logistics merchant information from a pre-stored candidate logistics merchant set according to logistics order information and pre-estimated data; and sending the target logistics provider information to the user terminal. Therefore, the method and the device can automatically select the corresponding logistics merchants according to the logistics order information submitted by the user, so that the efficiency of sending the mail by the user is improved, and the trial and error cost of sending the mail by the user is reduced.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to an order information processing method, apparatus and device.
Background
In recent years, electronic commerce has been developed rapidly, and logistics transportation is a very important part of electronic commerce. Because the target position information related to the e-commerce mail sending is different, the delivery range of each logistics company is different and can not be sent, the charging standards of each logistics company are different, the service is different, and the user often has no concept on the information, the user can meet various complex conditions when sending the mail, and the mail often cannot be sent according to the optimal scheme.
Disclosure of Invention
An object of the embodiments of the present application is to provide an order information processing method, apparatus, and device, which can automatically select a corresponding logistics merchant according to logistics order information submitted by a user, thereby improving the efficiency of sending a user, and reducing the trial and error cost of sending a user.
The embodiment of the application is realized as follows:
in a first aspect, the present application provides an order information processing method, including: receiving to-be-processed logistics order information sent by a user terminal, wherein the logistics order information comprises: starting position information and target position information; calculating to obtain estimated data of each logistics provider in the candidate logistics provider set on the logistics order information according to the initial position information, the target position information and a pre-stored data estimation rule of the candidate logistics provider set; selecting target logistics merchant information from a pre-stored candidate logistics merchant set according to the logistics order information and the pre-estimated data; and sending the target logistics provider information to a user terminal.
In an embodiment, the selecting target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data includes: according to a first preset filtering rule, filtering a first redundant logistics merchant from the candidate logistics merchant set to generate a primary selection logistics merchant list; judging whether the number of the logistics merchants in the list of the primarily selected logistics merchants is less than or equal to a first preset value; if the number of the logistics providers in the list of the primarily selected logistics providers is smaller than or equal to a first preset value, taking the logistics providers in the list of the primarily selected logistics providers as target logistics provider information; if the number of the logistics merchants in the primarily selected logistics merchant list is larger than a first preset value, filtering out second redundant logistics merchants from the primarily selected logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list; wherein the priority of the first preset filtering rule is greater than the priority of the second preset filtering rule.
In one embodiment, the first predetermined filtering rule includes: and filtering the estimated data to be a first redundant logistics quotient of the specified data.
In one embodiment, the logistics order information includes: parcel price data; the step of filtering out a second redundant logistics merchant from the primary selection logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list comprises the following steps: if the package price data is larger than a second preset value, selecting target logistics provider information with the highest historical average score from the primary selection logistics provider list; and if the package price data is less than or equal to the second preset value, selecting target logistics provider information from the initially selected logistics provider list according to the estimated data.
In an embodiment, the filtering out the second redundant logistics provider from the primary selected logistics provider list according to the second preset filtering rule to generate a final selected logistics provider list includes: if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are lower than a third preset value, selecting target logistics merchant information with the highest historical average score from the primarily selected logistics merchant list; and if the historical average scores of the logistics merchants in the primary logistics merchant list are not all lower than a third preset value, filtering out second redundant logistics merchants of which the historical average scores are lower than the third preset value in the primary logistics merchant list.
In an embodiment, the filtering out the second redundant logistics provider from the primary selected logistics provider list according to the second preset filtering rule to generate a final selected logistics provider list includes: if the historical average delivery time lengths of the logistics merchants in the primarily selected logistics merchant list are all larger than a fourth preset value, selecting target logistics merchant information with the minimum historical average delivery time length from the primarily selected logistics merchant list; and if the historical average delivery duration of the logistics merchants in the primarily selected logistics merchant list is not greater than a fourth preset value, filtering out second redundant logistics merchants of which the historical average delivery duration is greater than the fourth preset value in the primarily selected logistics merchant list.
In an embodiment, the start location information is obtained from IP information of the ue or is preset location information.
In an embodiment, the order information processing method further includes: and sending the logistics order information to an order receiving account corresponding to the target logistics merchant information.
In a second aspect, the present application provides an order information processing apparatus comprising: the system comprises a receiving module, a calculating module, a selecting module and a first sending module, wherein the receiving module is used for receiving to-be-processed logistics order information sent by a user terminal, and the logistics order information comprises: starting position information and target position information; the calculation module is used for calculating and obtaining the estimated data of each logistics provider in the candidate logistics provider set on the logistics order information according to the initial position information, the target position information and the pre-stored data estimation rule of the candidate logistics provider set; the selecting module is used for selecting target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data; and the first sending module is used for sending the target logistics provider information to the user terminal.
In an embodiment, the selecting module is further configured to: according to a first preset filtering rule, filtering a first redundant logistics merchant from the candidate logistics merchant set to generate a primary selection logistics merchant list; judging whether the number of the logistics merchants in the list of the initially selected logistics merchants is less than or equal to a first preset value; if the number of the logistics merchants in the list of the primarily selected logistics merchants is less than or equal to a first preset value, taking the logistics merchants in the list of the primarily selected logistics merchants as target logistics merchant information; if the number of the logistics merchants in the primarily selected logistics merchant list is larger than a first preset value, filtering out second redundant logistics merchants from the primarily selected logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list; wherein the priority of the first preset filtering rule is greater than the priority of the second preset filtering rule.
In one embodiment, the first predetermined filtering rule includes: and filtering the estimated data to be a first redundant logistics quotient of the specified data.
In one embodiment, the logistics order information includes: parcel price data; the selecting module is further configured to: if the package price data is larger than a second preset value, selecting target logistics provider information with the highest historical average score from the primary selection logistics provider list; and if the package price data is less than or equal to the second preset value, selecting target logistics provider information from the initially selected logistics provider list according to the estimated data.
In an embodiment, the selecting module is further configured to: if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are lower than a third preset value, selecting target logistics merchant information with the highest historical average score from the primarily selected logistics merchant list; and if the historical average scores of the logistics merchants in the primary logistics merchant list are not all lower than a third preset value, filtering out second redundant logistics merchants of which the historical average scores are lower than the third preset value in the primary logistics merchant list.
In an embodiment, the selecting module is further configured to: if the historical average delivery time lengths of the logistics merchants in the primarily selected logistics merchant list are all larger than a fourth preset value, selecting target logistics merchant information with the minimum historical average delivery time length from the primarily selected logistics merchant list; and if the historical average delivery duration of the logistics merchants in the primarily selected logistics merchant list is not greater than a fourth preset value, filtering out second redundant logistics merchants of which the historical average delivery duration is greater than the fourth preset value in the primarily selected logistics merchant list.
In an embodiment, the start location information is obtained from IP information of the ue or is preset location information.
In one embodiment, the order information processing apparatus further includes: and the second sending module is used for sending the logistics order information to an order receiving account corresponding to the target logistics merchant information.
In a third aspect, the present application provides an electronic device, comprising: a memory and a processor. The memory is used for storing a computer program; the processor is used to execute the computer program to realize the method of any one of the previous embodiments.
Compared with the prior art, the beneficial effect of this application is:
according to the order information processing method, the order information processing device and the order information processing equipment, the corresponding logistics merchants can be automatically selected according to the logistics order information submitted by the user, so that the user sending efficiency is improved, and the trial and error cost of sending the user is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Fig. 2 is a schematic view of an application scenario of the order information processing method according to an embodiment of the present application.
Fig. 3 is a flowchart illustrating an order information processing method according to an embodiment of the present application.
Fig. 4 is a schematic flowchart illustrating a detailed process of step S130 in the corresponding embodiment of fig. 3 according to an embodiment of the present application.
Fig. 5 is a schematic structural diagram of an order information processing apparatus according to an embodiment of the present application.
Icon: 100-an electronic device; 101-a bus; 102-a memory; 103-a processor; 200-order information processing means; 210-a receiving module; 220-a calculation module; 230-selecting module; 240-a first sending module; 300-a user terminal; 400-a server; 410-a processing unit; 420-a rules engine; 430-a rules database; 440-rules management background; 450-a logistics merchant information database; 500-third party platform.
Detailed Description
The technical solutions in the embodiments of the present application will be described below with reference to the drawings in the embodiments of the present application. In the description of the present application, the terms "first," "second," and the like are used solely to distinguish one from another and are not to be construed as indicating or implying relative importance.
Fig. 1 is a schematic structural diagram of an electronic device 100 according to an embodiment of the present disclosure. The electronic device 100 includes: at least one processor 103 and a memory 102, one processor 103 being exemplified in fig. 1. The processor 103 and the memory 102 are connected through the bus 101, and the memory 102 stores instructions executable by the processor 103, where the instructions are executed by the processor 103, so that the electronic device 100 may execute all or part of the process of the method in the embodiments described below, to automatically select a corresponding logistics provider according to logistics order information submitted by a user, thereby improving the efficiency of sending a mail by the user, and reducing the trial-and-error cost of sending a mail by the user.
In one embodiment, the Processor 103 may be a general-purpose Processor 103, including but not limited to a Central Processing Unit (CPU) 103, a Network Processor 103 (NP), etc., a Digital Signal Processor (DSP) 103, an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general purpose processor 103 may be a microprocessor 103 or the processor 103 may be any conventional processor 103 or the like, the processor 103 being the control center of the electronic device 100 and the various parts of the entire electronic device 100 being connected by various interfaces and lines. The processor 103 may implement or perform the methods, steps, and logic blocks disclosed in the embodiments of the present application.
In one embodiment, the Memory 102 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, including but not limited to, a Random Access Memory (RAM) 102, a Read Only Memory (ROM) 102, a Static Random Access Memory (SRAM) 102, a Programmable Read Only Memory (PROM) 102, an Erasable Read Only Memory (EPROM) 102, and an electrically Erasable Read Only Memory (EEPROM) 102.
The electronic device 100 may be a mobile phone, a notebook computer, a desktop computer, or an operation system composed of multiple computers. Electronic device 100 may also include more or fewer components than shown in FIG. 1, or have a different configuration than shown in FIG. 1. For example, electronic device 100 may also include input and output devices for human interaction.
Fig. 2 is a schematic view of an application scenario of the order information processing method according to an embodiment of the application. The application scenario includes a user terminal 300, a server 400, and a third party platform 500; the user terminal 300 is a mobile phone, a notebook computer, a desktop computer, etc. which needs to send a mail; the server 400 is an operation system formed by a mobile phone, a notebook computer, a desktop computer, or a plurality of computers on the side of receiving and processing the logistics order information sent by the user terminal 300. The third-party platform 500 is a mobile phone, a notebook computer, a desktop computer, or an operation system composed of a plurality of computers of a party providing the logistics service. The user terminal 300, the server 400, and the third party platform 500 may be connected through a local area network, a wireless network, or a wired network, and may be set locally or set in a different place.
In one embodiment, the third party platform 500 may be a device used by a logistics merchant. The user terminal 300 may be a device used by an e-commerce requiring mail, and an application (client or APP) of a warehouse purchase-sale-stock platform is installed on the user terminal 300. The server 400 may be a device applied to an e-commerce warehouse, and an application (client or APP) of the logistics selection platform may be installed in the server 400. In another embodiment, the app of the logistics selection platform can also be installed directly on the user terminal 300. In another embodiment, the user of the user terminal 300 may be a consumer or an individual, etc.
In an operation process, when a consumer places a purchase order through a shopping platform, the purchase order includes information required for sending a mail, the purchase order enters a warehouse purchase-sale-storage platform in the user terminal 300 used by an e-commerce and triggers a logistics provider recommendation service, the user terminal 300 sends the information required for sending the mail in the purchase order to the server 400, the server 400 processes the information required for sending the mail, the logistics provider information meeting the user requirements is automatically selected, and the logistics provider information is returned to the user terminal 300 so that the e-commerce provider can select final logistics provider information based on actual requirements.
Then, the e-commerce can directly send the information required for sending the mail to the corresponding logistics merchant in the third-party platform 500 at the user terminal 300 to complete sending the mail; the server 400 may also send the information required for sending the mail to the corresponding logistics center in the third-party platform 500 according to the e-commerce instruction to send the mail to be completed. Therefore, the corresponding logistics merchants can be automatically selected according to the logistics order information submitted by the user, the user sending efficiency is improved, and the trial and error cost of sending the user is reduced.
As shown in fig. 2, the server 400 may include a processing unit 410, a rule engine 420, a rule database 430, a rule management backend 440, and a logistics information database 450. The processing unit 410, the rule engine 420, the rule database 430, the rule management background 440 and the logistics information database 450 may be integrally or separately configured.
The logistics provider information database 450 may store a plurality of reference information about scores, timeliness, locations where the logistics providers can be delivered, charging rules, and the like of each candidate logistics provider, and the logistics provider information database 450 may interact with the third party platform 500 so as to update the reference information in real time. The logistics information database 450 can be a local database or an offsite database.
The processing unit 410 may be the processor 103, and is configured to receive the logistics order information sent by the user terminal 300 and the reference information sent by the logistics information database 450, integrate and process the logistics order information and the reference information into a query information, and send the query information to the rule engine 420.
The rule database 430 may store a plurality of logistic merchant selection rules. The rules database 430 may be a local database or a displaced database. The rules management backend 440 may be logged in by a user to edit the priority of each retailer-selected rule in the rules database 430 to form a list of rules in the rules database 430 sorted by priority from large to small.
The rule engine 420 may receive the query information sent by the processing unit 410, obtain the rule list from the rule database 430, and execute the rules one by one according to the rule list using the query information as an input item until a list of recommended logistics providers meeting the standard is obtained.
Please refer to fig. 3, which is a flowchart illustrating an order information processing method according to an embodiment of the present application, where the method can be executed by the electronic device 100 shown in fig. 1 as the server 400 shown in fig. 2, and is used to automatically select a corresponding logistics provider according to logistics order information submitted by a user, so as to improve the efficiency of sending a mail by the user and reduce the trial and error cost of sending a mail by the user. The method comprises the following steps: step S110-step S140.
Step S110: receiving the to-be-processed logistics order information sent by the user terminal 300.
In this step, the user may submit logistics order information via the user terminal 300, and the information required for sending the mail may be submitted in a form of a specified format list, or may be submitted in a manner selected by the user, and then integrated into a unified format by the server 400.
The logistics order information comprises initial position information and target position information required by sending the article. The target location information is a recipient address field, which may be input by a user. The start location information is a mail address field, which may be input by the user in advance or in real time, or may be obtained from the IP information of the user terminal 300. In this embodiment, the initial location information is preset location information, which is a warehouse address preset by a user.
Table 1 shows an example of the logistics order information integrated into a unified format by the server 400.
Table 1:
| field(s) | Description of field | Data examples |
| Order number | Unique identification of an order | 1393848108XXX |
| Order address | Order recipient address | D town 10 storied building in city c district, b province and c province |
| Weight of order | Package weight of order | 1.2kg |
| Volume of order | Parcel volume of an order | 0.2m3 |
| Parcel price data | Parcel value of an order | 120 Yuan |
As can be seen from table 1, the logistics order information further includes: an order number field as a unique identifier of the logistics order, an order weight field describing the weight of the package, an order volume field describing the volume of the package, and package price data describing the value of the package.
Step S120: and calculating to obtain the estimated data of each logistics merchant in the candidate logistics merchant set on the logistics order information according to the initial position information, the target position information and the pre-stored data estimation rule of the candidate logistics merchant set.
The candidate logistics merchant set pre-stored in this step may be stored in the logistics merchant information database 450. The logistics providers in the candidate logistics provider set may include all the logistics providers of the third party platform 500, or may include only a few logistics providers specified by the user. For example, the logistics providers are screened according to the white list information and the black list information of each user.
In one embodiment, the data estimation rule in this step may be a freight calculation model. The estimated data in this step may be estimated freight of each logistics provider in the candidate logistics provider set for the logistics order information. Based on the logistics order information (as table 1) in step S110, inputting the starting location information and the target location information in the logistics order information into the freight calculation model of each logistics provider to obtain the minimum freight of the logistics order at each logistics provider; and if the initial position information and the target position information in the logistics order information are communicated with the order weight field or the order volume field and input into the freight calculation model of each logistics provider, the freight accurate value of the logistics order at each logistics provider can be obtained.
Table 2 is an example of the data estimation rule of the logistics company a.
Table 2:
as can be seen from table 2, the estimation rule further includes a shutdown area of each logistics provider, and when the target location information in the logistics order information is the logistics provider shutdown area, the estimation data of the logistics provider for the logistics order information is the designated data (for example, the estimation data is "0 metadata" or "delivery failure").
By the arrangement, the estimated data can reflect the freight information and can also reflect whether the logistics order is in the delivery range of the logistics provider.
The data evaluation rules may be manually input by the user or updated in real time by interacting with the third-party platform 500.
It should be noted that the calculated estimated data of each logistics provider in the candidate logistics provider set on the logistics order information may exist in the form of an independent list, or may be merged with the logistics order information (as shown in table 1) in step S110 through the server 400.
Table 3 is an example of combining the forecast data with the logistics order information.
Table 3:
as can be seen from table 3, a new data packet can be formed after the pre-estimated data and the logistics order information are combined, which is beneficial to the subsequent data processing and accelerates the efficiency of the logistics merchant selection.
Step S130: and selecting target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data.
In this step, according to the filtering rules input by the user in real time or the filtering rules pre-stored in the rule database 430, the logistics providers that do not meet the requirements of the user and the logistics providers that cannot be delivered are filtered out, and one or more target logistics providers are automatically selected.
Step S140: and transmits the target logistics provider information to the user terminal 300.
In this step, the selected target logistics merchant information is pushed to the user terminal 300 in an information recommendation manner for selection by the user, so that the user screening time is saved, the user sending efficiency is improved, and the trial and error cost of sending the user is reduced.
In another embodiment, the order information processing method further includes step S150 after step S140: and sending the logistics order information to an order receiving account corresponding to the target logistics merchant information.
The order receiving account in step S150 may be determined by the target logistics provider information obtained in step S130 in the third party platform 500.
Before step S150, after step S140, step S151 may be further included: and receiving a user modification instruction, and modifying the target logistics provider information according to the user modification instruction.
So configured, the order taking account in step S150 may be determined by the third party platform 500 from the target logistics provider information obtained in step S151.
In another embodiment, after step S140, the user may send the information required for mailing to the corresponding logistics merchant in the third-party platform 500 directly from the user terminal 300 to complete the mailing.
Please refer to fig. 4, which is a flowchart illustrating a detailed process of step S130 in the corresponding embodiment of fig. 3 according to an embodiment of the present application. In the order information processing method, step S130 may include the steps of: step S131 to step S134.
Step S131: and filtering out a first redundant logistics merchant from the candidate logistics merchant set according to a first preset filtering rule to generate a primary selection logistics merchant list.
The first preset filtering rule in this step includes: and filtering the estimated data into a first redundant logistics quotient of the specified data.
The number of the first redundant logistics merchants is one or more than one of all logistics merchants which do not meet the condition that the estimated data is the designated data in the candidate logistics merchant set. The specified data may be user input or may be default. In this embodiment, the designated data is "0-bit" or "delivery impossible".
By the arrangement, logistics merchants which cannot be distributed can be filtered, so that time and cost for placing orders again due to the fact that the logistics merchants cannot distribute the orders after placing the orders can be saved, and efficiency of subsequent further screening of the logistics merchants can be improved.
Step S132: and judging whether the number of the logistics merchants in the initially selected logistics merchant list is less than or equal to a first preset value.
The first preset value of this step may be input by the user, and may be 0, 1, 2, 3, 4, etc.
In this step, it is determined whether the screening of step S131 has met the screening target of the user by determining whether the number of the physical distribution merchants in the list of the primarily selected physical distribution merchants is less than or equal to a first preset value.
If yes, the screening target basically meets the user, no additional screening is needed, and step S133 is executed; if not, it indicates that the filtering target of the user is not met, and further filtering is needed, and step S134 is executed.
Step S133: and taking the logistics merchants in the initially selected logistics merchant list as target logistics merchant information.
If the first preset value is 1, if the number of the logistics providers in the initially selected logistics provider list is equal to the first preset value, the situation that the screening target of the user is completely met is shown; when the number of the selected physical distribution traders in the list of the initially selected physical distribution traders is equal to 0, it indicates that there is no physical distribution trader that meets the user standard, and feedback can be given to the user in step S140.
Step S134: and if the number of the logistics merchants in the primarily selected logistics merchant list is greater than the first preset value, filtering out second redundant logistics merchants from the primarily selected logistics merchant list according to a second preset filtering rule, and generating a final selected logistics merchant list.
In this step, the priority of the first preset filtering rule is greater than the priority of the second preset filtering rule. Wherein the priority of the filtering rules may be set by the rules management backend 440.
The second preset filtering rule may be one rule or a set of multiple rules.
The second redundant logistics quotient is one or more than one logistics quotient which does not meet the second preset filtering rule in the candidate logistics quotient set.
Table 4 is a list of rules in the rules database 430 sorted by priority from large to small for the rules management back-office 440.
Table 4:
as can be seen from table 4, the first filtering rule is an unserviceable area rule determined according to the pre-estimation data. The second filtering rules may include one or more of high value order warranty rules, historical average score filtering rules, slow delivery speed filtering rules, and cost prioritization rules, wherein the priority of the rules may be added, deleted, or reordered at the rule management backend 440 according to user instructions. In this step, the list of the initially selected logistics merchants may be screened according to the second filtering rule to generate a final list of the selected logistics merchants.
The historical average score of the physical distribution trader and the historical average delivery time of the physical distribution trader in table 4 can be calculated by the processing unit 410 according to the physical distribution trader information stored in the physical distribution trader information database 450. The logistics merchant information may include: and other users and the user score each order completed by each logistics provider. The logistics merchant information may further include: the order made by each logistics merchant is the value obtained by dividing the time from the start of package acquisition until the package arrives at the package station or is signed by the customer by the delivery distance.
In one embodiment, the historical average score used in the second filtering rule may be calculated using the following formula:
wherein D is the historical average score of the candidate quotient (the numerical range is 0-100); i is the basic score of other users and the user for each order completed by the candidate quotient, (the basic score can be the score according to 10 grades, and the numerical range is 0-10); n is the number of orders.
In one embodiment, the historical average delivery time used in the second filtering rule may be calculated by the following formula:
wherein E is the historical average delivery duration of the candidate; b is the delivery time length of each order completed by the logistics trader; r is the shipping distance for each order completed by the logistics merchant.
In one embodiment, the step S134 includes: if the package price data is larger than a second preset value, selecting target logistics provider information with the highest historical average score from the primary selected logistics provider list; and if the parcel price data is less than or equal to a second preset value, selecting target logistics provider information from the initially selected logistics provider list according to the estimated data.
Since the historical average score calculated by the processing unit 410 can reflect the service quality of the logistics provider to a certain extent, the logistics provider with higher historical average score can generally better preserve the value of the high-value package, so that when the price data of the package is higher, the logistics provider with higher historical average score can be screened out to avoid the problem of the high-value package in the transfer process, and the logistics provider specified by the user can be selected to avoid the problem of the high-value package in the transfer process; when the package price data is low, the logistics merchants with low freight charge can be directly screened out according to the estimated data to reduce the logistics cost of the user, and the logistics merchants with the quantity less than or equal to the first preset value can be sequentially screened out according to the historical average scoring screening rule, the slow conveying speed filtering rule and the cost priority rule.
In one embodiment, the step S134 includes: if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are lower than a third preset value, selecting target logistics merchant information with the highest historical average score from the primarily selected logistics merchant list; and if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are not all lower than the third preset value, filtering out second redundant logistics merchants of which the historical average scores are lower than the third preset value in the primarily selected logistics merchant list.
Since the historical average score calculated by the processing unit 410 may reflect the service quality of the logistics provider to a certain extent, the historical average score is used as a standard for screening the logistics provider in the embodiment, and in order to improve the final package transportation quality and avoid all the logistics providers from being filtered out due to non-compliance with the user standard, the user may designate a third preset value. If the historical average scores of the logistics merchants in the initially selected logistics merchant list are not all lower than the third preset value, the service quality of the logistics merchants is better, the low historical average scores can be filtered, then whether the number of the logistics merchants with the low historical average scores is smaller than or equal to the first preset value or not can be judged, if yes, the screening process is ended, and if not, the logistics merchants with the number smaller than or equal to the first preset value can be sequentially screened according to the low conveying speed filtering rule and the cost priority rule.
If the historical average scores of the logistics providers in the initially selected logistics provider list are all lower than the third preset value, the historical average score is directly selected to be the highest, and therefore the situation that all the logistics providers are filtered due to the fact that the logistics providers do not accord with the user standard is avoided.
In one embodiment, the step S134 includes: if the historical average delivery time of the logistics merchants in the primarily selected logistics merchant list is larger than the fourth preset value, target logistics merchant information with the smallest historical average delivery time is selected from the primarily selected logistics merchant list; and if the historical average delivery duration of the logistics providers in the list of the primarily selected logistics providers is not larger than the fourth preset value, filtering out second redundant logistics providers of which the historical average delivery duration is larger than the fourth preset value in the list of the primarily selected logistics providers.
The historical average delivery duration calculated by the processing unit 410 may reflect the transportation speed of the logistics provider to a certain extent, so the historical average delivery duration is used as a standard for screening the logistics provider in this embodiment, and in order to increase the final parcel transportation speed and avoid all the logistics providers being filtered out because they do not meet the user standard, the user may designate a fourth preset value. If the historical average delivery time lengths of the logistics merchants in the initially selected logistics merchant list are not all larger than the fourth preset value, the transportation speeds of the logistics merchants are higher, the longer of the historical average delivery time lengths can be filtered, then whether the number of the logistics merchants with the larger historical average delivery time lengths is smaller than or equal to the first preset value or not can be judged, if yes, the screening process is finished, and if not, the logistics merchants with the number smaller than or equal to the first preset value can be screened again according to the cost priority rule.
If the historical average delivery time of the logistics providers in the initially selected logistics provider list is larger than the fourth preset value, the shortest historical average delivery time is directly selected, and therefore all the logistics providers are prevented from being filtered due to the fact that the logistics providers do not accord with the user standard.
Fig. 5 is a schematic structural diagram of an order information processing apparatus 200 according to an embodiment of the present application. The apparatus is applicable to the electronic device 100 shown in fig. 1 as the server 400 shown in fig. 2, and includes: a receiving module 210, a calculating module 220, a selecting module 230 and a first transmitting module 240. The principle relationship of the modules is as follows: the receiving module 210 is configured to receive to-be-processed logistics order information sent by the user terminal 300, where the logistics order information includes: starting position information and target position information; the calculation module 220 is configured to calculate estimated data of each logistics provider in the candidate logistics provider set on logistics order information according to the initial position information, the target position information, and a pre-stored data estimation rule of the candidate logistics provider set; the selecting module 230 is configured to select target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data; the first sending module 240 is configured to send the target logistics provider information to the user terminal 300.
In one embodiment, the selecting module 230 is further configured to: according to a first preset filtering rule, filtering a first redundant logistics merchant from the candidate logistics merchant set to generate a primary selection logistics merchant list; judging whether the number of the logistics merchants in the initially selected logistics merchant list is less than or equal to a first preset value or not; if the number of the logistics merchants in the list of the primarily selected logistics merchants is less than or equal to a first preset value, taking the logistics merchants in the list of the primarily selected logistics merchants as target logistics merchant information; if the number of the logistics merchants in the primarily selected logistics merchant list is larger than the first preset value, filtering out second redundant logistics merchants from the primarily selected logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list; the priority of the first preset filtering rule is greater than that of the second preset filtering rule.
In one embodiment, the first predetermined filtering rule includes: and filtering the estimated data into a first redundant logistics quotient of the specified data.
In one embodiment, the logistics order information includes: parcel price data; the selecting module 230 is further configured to: if the package price data is larger than a second preset value, selecting target logistics provider information with the highest historical average score from the primary selected logistics provider list; and if the parcel price data is less than or equal to a second preset value, selecting target logistics provider information from the initially selected logistics provider list according to the estimated data.
In one embodiment, the selecting module 230 is further configured to: if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are lower than a third preset value, selecting target logistics merchant information with the highest historical average score from the primarily selected logistics merchant list; and if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are not all lower than the third preset value, filtering out second redundant logistics merchants of which the historical average scores are lower than the third preset value in the primarily selected logistics merchant list.
In one embodiment, the selecting module 230 is further configured to: if the historical average delivery time of the logistics merchants in the primarily selected logistics merchant list is larger than the fourth preset value, target logistics merchant information with the smallest historical average delivery time is selected from the primarily selected logistics merchant list; and if the historical average delivery duration of the logistics providers in the list of the primarily selected logistics providers is not larger than the fourth preset value, filtering out second redundant logistics providers of which the historical average delivery duration is larger than the fourth preset value in the list of the primarily selected logistics providers.
In one embodiment, the starting location information is obtained from the IP information of the ue 300.
In one embodiment, the order information processing apparatus 200 further includes: and the second sending module is used for sending the logistics order information to the order receiving account corresponding to the target logistics merchant information.
For a detailed description of the order information processing apparatus 200, please refer to the description of the related method steps in the above embodiments.
Embodiments of the present application further provide a non-transitory computer-readable storage medium, including: the program, when executed on the electronic device 100, causes the electronic device 100 to perform all or part of the flow of the method in the above-described embodiments. The storage medium may be a magnetic Disk, an optical Disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory 102(Flash Memory), a Hard Disk Drive (Hard Disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like. The storage medium may also include a combination of memories 102 of the sort described above.
In the embodiments provided in the present application, the disclosed apparatus and method can be implemented in other ways. The apparatus embodiments described above are merely illustrative, and for example, the flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of apparatus, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s).
In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form an independent part, or each module may exist separately, or two or more modules may be integrated to form an independent part.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The above description is only a preferred embodiment of the present application, and is only for the purpose of illustrating the technical solutions of the present application, and not for the purpose of limiting the present application. Any modification, equivalent replacement, improvement or the like that would be made by a person of ordinary skill in the art within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. An order information processing method is characterized by comprising the following steps:
receiving to-be-processed logistics order information sent by a user terminal, wherein the logistics order information comprises: starting position information and target position information;
calculating to obtain estimated data of each logistics provider in the candidate logistics provider set on the logistics order information according to the initial position information, the target position information and a pre-stored data estimation rule of the candidate logistics provider set;
selecting target logistics merchant information from a pre-stored candidate logistics merchant set according to the logistics order information and the pre-estimated data;
and sending the target logistics provider information to a user terminal.
2. The method according to claim 1, wherein selecting target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data comprises:
according to a first preset filtering rule, filtering a first redundant logistics merchant from the candidate logistics merchant set to generate a primary selection logistics merchant list;
judging whether the number of the logistics merchants in the list of the primarily selected logistics merchants is less than or equal to a first preset value;
if the number of the logistics merchants in the list of the primarily selected logistics merchants is less than or equal to a first preset value, taking the logistics merchants in the list of the primarily selected logistics merchants as target logistics merchant information;
if the number of the logistics merchants in the primarily selected logistics merchant list is larger than a first preset value, filtering out second redundant logistics merchants from the primarily selected logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list; wherein the priority of the first preset filtering rule is greater than the priority of the second preset filtering rule.
3. The method of claim 2, wherein the first preset filtering rule comprises: and filtering the estimated data to be a first redundant logistics quotient of the specified data.
4. The method of claim 2, wherein the logistics order information comprises: parcel price data; the step of filtering out a second redundant logistics merchant from the primary selection logistics merchant list according to a second preset filtering rule to generate a final selected logistics merchant list comprises the following steps:
if the package price data is larger than a second preset value, selecting target logistics provider information with the highest historical average score from the primary selection logistics provider list;
and if the package price data is less than or equal to the second preset value, selecting target logistics provider information from the initially selected logistics provider list according to the estimated data.
5. The method of claim 2, wherein filtering out the second redundant merchant from the primary selected merchant list according to a second predetermined filtering rule to generate a final selected merchant list comprises:
if the historical average scores of the logistics merchants in the primarily selected logistics merchant list are lower than a third preset value, selecting target logistics merchant information with the highest historical average score from the primarily selected logistics merchant list;
and if the historical average scores of the logistics merchants in the primary logistics merchant list are not all lower than a third preset value, filtering out second redundant logistics merchants of which the historical average scores are lower than the third preset value in the primary logistics merchant list.
6. The method of claim 2, wherein filtering out the second redundant merchant from the primary selected merchant list according to a second predetermined filtering rule to generate a final selected merchant list comprises:
if the historical average delivery time lengths of the logistics merchants in the primarily selected logistics merchant list are all larger than a fourth preset value, selecting target logistics merchant information with the minimum historical average delivery time length from the primarily selected logistics merchant list;
and if the historical average delivery duration of the logistics merchants in the primarily selected logistics merchant list is not greater than a fourth preset value, filtering out second redundant logistics merchants of which the historical average delivery duration is greater than the fourth preset value in the primarily selected logistics merchant list.
7. The method according to any one of claims 1 to 6, wherein the starting location information is obtained from IP information of the user terminal or is preset location information.
8. The method of any of claims 1 to 6, further comprising:
and sending the logistics order information to an order receiving account corresponding to the target logistics merchant information.
9. An order information processing apparatus characterized by comprising:
a receiving module, configured to receive to-be-processed logistics order information sent by a user terminal, where the logistics order information includes: starting position information and target position information;
the calculation module is used for calculating and obtaining the estimated data of each logistics provider in the candidate logistics provider set on the logistics order information according to the initial position information, the target position information and the pre-stored data estimation rule of the candidate logistics provider set;
the selecting module is used for selecting target logistics provider information from a pre-stored candidate logistics provider set according to the logistics order information and the pre-estimated data;
and the first sending module is used for sending the target logistics provider information to the user terminal.
10. An electronic device, comprising:
a memory to store a computer program;
a processor to perform the method of any one of claims 1 to 8.
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| CN202210110402.1A CN114493449A (en) | 2022-01-29 | 2022-01-29 | Order information processing method, device and equipment |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115796731A (en) * | 2023-02-06 | 2023-03-14 | 智旦运宝宝(福建)科技有限公司 | Logistics transportation management method and device based on big data and storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115796731A (en) * | 2023-02-06 | 2023-03-14 | 智旦运宝宝(福建)科技有限公司 | Logistics transportation management method and device based on big data and storage medium |
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