CN112613813A - Method, equipment and medium for pushing freight work scheme - Google Patents
Method, equipment and medium for pushing freight work scheme Download PDFInfo
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Abstract
The embodiment of the invention provides a pushing method, equipment and medium for a freight transportation working scheme. The method comprises the steps of acquiring user characteristic information of a target user to be pushed; determining average driver income according to the user characteristic information and historical freight data; and generating a freight work plan of the target user based on the user characteristic information and the average income of the driver, and pushing the freight work plan to the target user, wherein the freight work plan comprises the work duration of the target user and corresponding predicted income information. In the method, the user can arrange the freight work through the freight work scheme so as to obtain higher freight income and improve the user order receiving experience.
Description
Technical Field
The invention relates to the field of data processing, in particular to a pushing method, equipment and medium of a freight transportation working scheme.
Background
With the continuous popularization of the freight service, various freight service requirements are continuously diversified and complicated, and certain complexity is brought to the order taking of the freight service.
Currently, in the shipping service, a user may submit a shipping service request through a shipping service Application (APP) to reserve the shipping service. Furthermore, after the service platform acquires the freight service requirement, a freight order is generated based on the freight service requirement of the user, and the freight order is distributed to the order taking driver.
However, when a driver takes an order, the driver usually only knows the price of the current order, and cannot predict the quantity and price of the future order, so that the newly-added driver cannot predict the income level of the driver.
Disclosure of Invention
The embodiment of the invention provides a method, equipment and a medium for pushing a freight work scheme, which are used for pushing the freight work scheme to a user, assisting the user in arranging the freight work and improving the order receiving experience.
In a first aspect, an embodiment of the present invention provides a method for pushing a freight work scenario, where the method includes:
for a target user to be pushed, acquiring user characteristic information of the target user;
determining average driver income according to the user characteristic information and historical freight data;
generating a freight transportation working scheme of a target user based on the user characteristic information and the average income of the driver, and pushing the freight transportation working scheme to the target user;
the freight transportation working scheme comprises the working time of the target user and corresponding prediction income information.
In a second aspect, an embodiment of the present invention provides a pushing device for a freight transportation working scenario, where the pushing device includes:
the acquisition module is used for acquiring user characteristic information of a target user to be pushed;
the determining module is used for determining the average income of the driver according to the user characteristic information and the historical freight data;
the generation module is used for generating a freight work scheme of the target user based on the user characteristic information and the average income of the driver;
the pushing module is used for pushing the freight transportation working scheme to the target user;
the freight transportation working scheme comprises the working time of the target user and corresponding prediction income information.
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a processor and a memory, where the memory stores executable code, and when the executable code is executed by the processor, the processor is enabled to implement at least the pushing method of the freight work scenario in the first aspect.
An embodiment of the present invention further provides a system, including a processor and a memory, where the memory stores at least one instruction, at least one program, a code set, or an instruction set, and the at least one instruction, at least one program, a code set, or an instruction set is loaded and executed by the processor to implement the pushing method of one freight transportation work scenario described above.
Embodiments of the present invention further provide a computer-readable medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored thereon, which is loaded and executed by a processor to implement the pushing method of a freight work scenario described above.
In the technical scheme provided by the embodiment of the invention, the user characteristic information of the target user is obtained for the target user to be pushed. Furthermore, the average income of drivers is determined according to the user characteristic information and the historical freight data, a freight work scheme of the target user is generated based on the user characteristic information and the average income of drivers, and the freight work scheme is pushed to the target user, wherein the freight work scheme comprises the work duration of the target user and the corresponding forecast income information, so that the target user can arrange freight work through the freight work scheme, higher freight income is obtained, and the user order receiving experience is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flow chart of a pushing method of a freight transportation working scenario according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a cargo transportation working scenario pushing device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a pushing device for another freight transportation working scenario according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "a plurality" typically includes at least two.
The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a detection", depending on the context. Similarly, the phrases "if determined" or "if detected (a stated condition or event)" may be interpreted as "when determined" or "in response to a determination" or "when detected (a stated condition or event)" or "in response to a detection (a stated condition or event)", depending on the context.
In addition, the sequence of steps in each method embodiment described below is only an example and is not strictly limited.
Currently, in the shipping service, a user may submit a shipping service request through a shipping service Application (APP) to reserve the shipping service. Furthermore, after the service platform acquires the freight service requirement, a freight order is generated based on the freight service requirement of the user, and the freight order is distributed to the order taking driver.
However, when a driver takes an order, the driver usually only knows the price of the current order, and cannot predict the quantity and price of the future order, so that the newly-added driver cannot predict the income level of the driver.
In order to solve at least one technical problem, embodiments of the present invention provide a method, an apparatus, and a medium for pushing a freight work scenario. The core idea for solving the technical problems in the embodiment of the invention is mainly as follows:
and for the target user to be pushed, acquiring the user characteristic information of the target user. Furthermore, the average income of drivers is determined according to the user characteristic information and the historical freight data, a freight work scheme of a target user is generated based on the user characteristic information and the average income of drivers, and the freight work scheme is pushed to the target user, so that the target user can arrange freight work through the freight work scheme, higher freight income is obtained, and the user order receiving experience is improved.
Having described the basic concepts of the shipping work scenario push scenario, various non-limiting embodiments of the present invention are described in detail below.
The freight transportation working scheme pushing scheme provided by the embodiment of the invention is suitable for various freight transportation order receiving scenes. In practical application, the freight transportation working scheme pushing scheme is suitable for a driver income prediction scene, a freight transportation service delivery scene, a freight transportation order receiving scene and the like.
The following describes the implementation procedure of the shipping work plan pushing scheme with reference to the following embodiments.
Fig. 1 is a flowchart illustrating a pushing method for a freight transportation working scenario according to an embodiment of the present invention. As shown in fig. 1, the pushing method of the shipping work scenario includes:
101. for a target user to be pushed, acquiring user characteristic information of the target user;
102. determining average driver income according to the user characteristic information and historical freight data;
103. and generating a freight work plan of the target user based on the user characteristic information and the average income of the driver, and pushing the freight work plan to the target user.
The freight work scheme pushing method in the embodiment of the invention is applied to an application program, and the application program can be arranged on electronic equipment with an image display function. Such as a shipping service APP.
In the embodiment of the invention, the freight transportation working scheme comprises the working time of the target user and the corresponding prediction income information. Specifically, the freight work plan comprises one or a combination of at least one work time length of the target user, the forecast income information at the at least one work time length and the recommended member information corresponding to the order configuration information. The order configuration information includes order quantity and/or order price adjustment information to be placed over a set period of time. The set time period is, for example, 2 to 4 hours per day, 4 to 6 hours per day, 6 to 8 hours per day, 8 to 12 hours per day, or 12 hours or more per day. The order price adjustment information is, for example, a price ratio of each order. The order quantity is, for example, the order push quantity to be placed at each time period. The recommended member information is, for example, a member card or a member package purchased by the recommended user. In addition, the order configuration information may also include order distribution rights, such as high-priced order distribution rights in the same region.
The following describes the steps in the pushing method of the freight work plan shown in fig. 1:
in 101, for a target user to be pushed, user feature information of the target user is obtained.
In the above steps, it is assumed that the target user is user a. Based on the above, the user characteristic information of the user a is acquired in response to the input operation of the user a on the display interface. For example, the interaction information fed back by the user a is acquired through an interaction control in the display interface, and the interaction information is used as the user characteristic information of the user a. Interactive controls are for example input fields, list selection fields, sliders. The user characteristic information includes, but is not limited to, age information, vehicle type information, and a city where the driver is located.
Further, after obtaining the user characteristic information of the target user, it is assumed that the historical shipment data includes driver information and/or historical revenue information for a plurality of drivers at 102. Based on this, an alternative embodiment for determining the average driver income according to the user characteristic information and the historical freight data is specifically as follows:
selecting at least one driver matched with the target user from the plurality of drivers according to the user characteristic information and the driver information of the plurality of drivers; and determining historical average income information corresponding to the target user according to the driver information of at least one driver and the historical income information.
In the above steps, driver information and historical revenue information of a plurality of drivers are assumed. It is assumed that the user characteristic information of the target user includes age information, vehicle type information, and a city in which the driver is located. It is assumed that the driver information of the plurality of drivers includes age information, vehicle type information, and a city in which the driver is located.
Based on this, for example, at least one driver matching the target user is selected from the plurality of drivers based on the age information, the vehicle type information, and the city in which the driver is located of the target user, and the age information, the vehicle type information, and the city in which the driver is located of the plurality of drivers.
The driver matched with the target user may be a driver at the same age level as the target user (e.g., the same under 50 years old), or a driver in the same type of vehicle as the target user (e.g., the same type of car as the bread car, the same type of box as the car), or a driver in the same city as the target user (e.g., the same type of car as the Beijing, the same type of sand as the car).
In practice, other information may be used to screen at least one driver matching the target user. For example, driver order taking preferences (long distance order, short distance order, cross city order, etc.) are employed to select at least one driver from the plurality of users that matches the target user.
Furthermore, in 102, determining historical average income information corresponding to the target user according to the driver information of at least one driver matched with the target user and the historical income information, specifically:
determining at least one working time length matched with the target user according to the age information of the target user; and determining historical average income information of drivers in the same vehicle type and/or the same city in at least one working period according to the vehicle type information of at least one driver, the city where the driver is located and the historical income information.
Optionally, an embodiment of determining at least one working duration matched with the target user according to the age information of the target user specifically includes: and judging whether the age information of the target user exceeds a set age threshold (such as 50 years), and if the age information of the target user exceeds the set age threshold (such as 50 years), determining at least one working period below all 8 hours matched with the target user in the case.
For example, assume that the target user is user b, wherein user b has an age of 46, is located in beijing, and has a registered vehicle type of cargo. In the above steps, according to the age information of the user b, 5 working hours matched with the user b are determined, namely 2-4 hours a day, 4-6 hours a day, 6-8 hours a day, 8-12 hours a day, and more than 12 hours a day. Therefore, the historical average income information of the Beijing drivers owning the cargos under the 5 working hours is determined according to the historical income information of the Beijing drivers owning the cargos.
For another example, assume that the target user is user c, wherein the age of user c is 53, the city is in the sea, and the registered vehicle type is a minibus. In the above steps, 3 working hours matched with the user c are determined according to the age information of the user c, namely 2-4 hours a day, 4-6 hours a day and 6-8 hours a day. Therefore, according to the historical income information of the Shanghai driver with the minibus, the historical average income information of the Shanghai driver with the minibus under the 3 working periods is determined.
Alternatively, the average income information of drivers in each urban area in the city of the drivers in each time period can be used as the basis. Therefore, the driver of the new driver can conveniently select the urban area suitable for the income expectation of the driver to work.
Specifically, continuing with the above-assumed example of user b, historical average income information of drivers in each city (e.g., hai lake, chang ping, sun facing, etc.) having cargoes for the above-mentioned 5 operating hours is further calculated from each city (e.g., hai lake, chang ping, sun facing, etc.) in the city (i.e., beijing) in which user b is located.
Further, after determining the average driver revenue, in 103, an alternative embodiment of the freight transportation operation scheme for the target user is generated based on the user characteristic information and the average driver revenue, which is specifically:
determining at least one order configuration information matched with the target user according to the user characteristic information, wherein the order configuration information comprises order quantity and/or order price adjustment information in a set time period; determining predicted revenue information for at least one operating time duration for the target user based on the driver average revenue and the order configuration information; and generating a freight work plan based on the order configuration information and the predicted income information of at least one work time.
The freight work scheme comprises one or a combination of at least one work time length of a target user, forecast income information under the at least one work time length and recommended member information corresponding to order configuration information.
For example, continuing with the example of user b assumed above, assume that user b is 46 of age, is in beijing, and has a registered vehicle type of cargo. Based on this, in the above steps, at least one order configuration information matched with the user b is selected from the configuration database corresponding to Beijing. The at least one order configuration information matched with the user b here includes, for example: order configuration information corresponding to the age information of the user b.
Further, it is assumed that the order arrangement information corresponding to the age information of the user b includes: order price adjustment information and order push quantity for 5 time periods. The 5 periods are assumed to be 2-4 hours per day, 4-6 hours per day, 6-8 hours per day, 8-12 hours per day, 12 hours per day or more.
Based on this, in the above steps, the predicted revenue information of the user b at 5 work hours is determined based on the historical average revenue information of the beijing drivers who own the cargos at 5 work hours, and the order price adjustment information and the order push quantity for each of 5 time periods. Further, recommended member information (for example, member card information, member package information, and the like) corresponding to each period is generated based on the order price adjustment information and the order pushed amount for each of the 5 periods and the predicted revenue information for each period. And finally, generating a freight work scheme of the user b based on the order price adjustment information, the order pushing quantity, the predicted income information and the recommended member information of each 5 time periods.
Optionally, the shipping work plan further includes a recommended work area for the target user. Based on the method, each working area in the city where the driver is located can be determined according to the city where the driver of the target user is located; and determining the recommended work area of the target user according to the order number of each work area.
Wherein the order quantity of each work area may be a historical order quantity. For example, assume that the order quantities for each work area include historical order quantities for a certain urban area. It is assumed that the historical order quantity on holidays of the urban area is much greater than the historical order quantity on weekdays. Based on the method, the urban area can be recommended to the target user through the recommended work area in the freight work scheme when the day and the holiday are saved, so that the target user can go to the urban area to pick up the order.
In practical application, optionally, the recommended work area of the target user can be further determined according to the vehicle type information of the target user. Continuing with the above example, assume that the reason for the rising number of orders on holidays in an urban area is that there are a large number of people moving on holidays. In this case, since the van and the van are more suitable for the moving demand, the urban area can be used as a recommended work area and pushed to the driver who registers the information of the car type as van or minibus.
Finally, in 103, after the freight work plan of the target user is generated, an optional implementation manner of pushing the freight work plan to the target user is specifically:
inputting the freight transportation working scheme into an interface generation template, and outputting interface display information of the freight transportation working scheme through the interface generation template; and displaying interface display information in the display interface.
In the above steps, for example, it is assumed that the pushing method of the shipping work plan is applicable to the shipping service APP. The freight work plan is assumed to comprise at least one work time length of a target user, forecast income information under the at least one work time length and recommended member information corresponding to order configuration information. It is assumed that the recommended member information includes schemes corresponding to the member package, such as scheme a, scheme b, and scheme c. And based on the assumptions, inputting at least one working time length of the target user, the predicted income information under the at least one working time length and the recommended member information into an interface generation template, and outputting interface display information of the freight work scheme through the interface generation template.
Assume that the interface presentation information includes presentation contents of 3 schemes (i.e. scheme a, scheme b, and scheme c) to be recommended to the user, and interaction controls (i.e. interaction control 01, interaction control 02, and interaction control 03) corresponding to each of the schemes a, b, and c, and the interaction controls are used for switching to a purchase page of the corresponding scheme.
Based on this, a plurality of schemes and corresponding interactive controls are displayed in a display interface of the freight service APP, and the display interface of the freight service APP is as shown in fig. 3. In fig. 3, the display interface of the freight service APP includes a presentation window for presenting a freight work scenario, where the presentation window includes 3 scenarios (i.e., scenario a, scenario b, scenario c) to be recommended to a user and corresponding interaction controls (i.e., interaction control 01, interaction control 02, interaction control 03).
In the pushing method of the freight transportation working scheme provided in the above embodiment, for a target user to be pushed, user characteristic information of the target user is obtained. Furthermore, the average income of drivers is determined according to the user characteristic information and the historical freight data, a freight work scheme of a target user is generated based on the user characteristic information and the average income of drivers, and the freight work scheme is pushed to the target user, so that the target user can arrange freight work through the freight work scheme, higher freight income is obtained, and the user order receiving experience is improved.
The freight work scenario push apparatus of one or more embodiments of the present invention will be described in detail below. Those skilled in the art will appreciate that these pushing devices can each be constructed using commercially available hardware components configured through the steps taught by the present solution.
The embodiment of the invention also provides a pushing device for the freight transportation working scheme. Fig. 2 is a schematic structural diagram of a pushing device of a shipping work scenario according to an embodiment of the present invention, and as shown in fig. 2, the pushing device of the shipping work scenario includes: the device comprises an acquisition module 11, a determination module 12, a generation module 13 and a push module 14.
The acquiring module 11 is configured to acquire, for a target user to be pushed, user feature information of the target user;
a determining module 12, configured to determine average driver income according to the user characteristic information and historical freight data;
a generating module 13, configured to generate a freight work plan of the target user based on the user characteristic information and the average driver revenue;
a pushing module 14, configured to push the freight work plan to the target user.
In practical applications, the pushing device of the shipping work plan is, for example, a shipping service APP. The display interface of the shipping service APP is shown in fig. 3. In fig. 3, the display interface includes a presentation window for presenting the shipping work scenario, and the presentation window includes 3 scenarios (i.e., scenario a, scenario b, and scenario c) to be recommended to the user and corresponding interaction controls (i.e., interaction control 01, interaction control 02, and interaction control 03) for switching to the purchase page of the corresponding scenario.
Optionally, the historical shipment data includes driver information and/or historical revenue information for a plurality of drivers.
The determining module 12 is specifically configured to, when determining the average driver income according to the user characteristic information and the historical freight data:
selecting at least one driver matched with the target user from a plurality of drivers according to the user characteristic information and driver information of the plurality of drivers;
and determining historical average income information corresponding to the target user according to the driver information of the at least one driver and the historical income information.
Optionally, the user characteristic information of the target user includes age information, vehicle type information, and/or a city where the driver is located.
The determining module 12 is specifically configured to, when determining the historical average revenue information corresponding to the target user according to the driver information of the at least one driver and the historical revenue information:
determining at least one working time length matched with the target user according to the age information of the target user;
and determining historical average income information of drivers in the same vehicle type and/or the same city in at least one working time according to the vehicle type information of the at least one driver, the city where the driver is located and the historical income information.
Optionally, the generating module 13 is specifically configured to, when generating the freight transportation working scenario of the target user based on the user characteristic information and the average driver income:
determining at least one order configuration information matched with the target user according to the user characteristic information, wherein the order configuration information comprises order quantity and/or order price adjustment information in a set time period;
determining predicted revenue information for at least one work length for the target user based on the driver average revenue and the order configuration information;
and generating the freight work plan based on the order configuration information and the prediction income information under at least one work time length.
Optionally, the freight work plan includes: one or a combination of at least one working time length of the target user, the prediction income information under at least one working time length, and the recommended member information corresponding to the order configuration information.
Optionally, the shipping work plan further includes a recommended work area for the target user.
The generating module 13 is further configured to: determining each working area in the city where the driver is located according to the city where the driver of the target user is located; and determining the recommended working area of the target user according to the order number of each working area.
Optionally, when the pushing module 14 pushes the freight work plan to the target user, the pushing module is specifically configured to:
inputting the freight work scheme into an interface generation template, and outputting interface display information of the freight work scheme through the interface generation template;
and displaying the interface display information in a display interface.
In the pushing device of the freight work scenario shown in fig. 2, for a target user to be pushed, user characteristic information of the target user is obtained. Furthermore, the average income of drivers is determined according to the user characteristic information and the historical freight data, a freight work scheme of a target user is generated based on the user characteristic information and the average income of drivers, and the freight work scheme is pushed to the target user, so that the target user can arrange freight work through the freight work scheme, higher freight income is obtained, and the user order receiving experience is improved.
The pushing device of the freight work scenario shown in fig. 2 may execute the methods provided in the foregoing embodiments, and portions not described in detail in this embodiment may refer to the related descriptions of the foregoing embodiments, and are not described again here.
In one possible design, the pushing device of the shipping scheme shown in fig. 2 may be carried in an electronic device. Alternatively, the pushing device of the freight transportation operation scheme shown in fig. 2 may be implemented as an electronic device.
As shown in fig. 4, the electronic device may include: a processor 21 and a memory 22. Wherein the memory 22 has stored thereon executable code which, when executed by the processor 21, at least makes the processor 21 capable of implementing a rendering method of sub-surface scattering effects as provided in the previous embodiments. The electronic device may further include a communication interface 23 for communicating with other devices or a communication network.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an example of the present invention, and is not intended to limit the present invention. Various modifications and alterations to this invention will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of the claims of the present invention.
Claims (10)
1. A pushing method for a freight transportation working scheme is characterized by comprising the following steps:
for a target user to be pushed, acquiring user characteristic information of the target user;
determining average driver income according to the user characteristic information and historical freight data;
generating a freight work plan of the target user based on the user characteristic information and the average income of the driver, and pushing the freight work plan to the target user;
and the freight work scheme comprises the work time of the target user and corresponding prediction income information.
2. The method of claim 1, wherein the historical shipment data comprises driver information and/or historical revenue information for a plurality of drivers;
the determining driver average income according to the user characteristic information and historical freight data comprises the following steps:
selecting at least one driver matched with the target user from a plurality of drivers according to the user characteristic information and driver information of the plurality of drivers;
and determining historical average income information corresponding to the target user according to the driver information of the at least one driver and the historical income information.
3. The method of claim 2, wherein the user characteristic information of the target user comprises age information, vehicle type information, and/or a city where the driver is located;
the determining historical average income information corresponding to the target user according to the driver information of the at least one driver and the historical income information comprises:
determining at least one working time length matched with the target user according to the age information of the target user;
and determining historical average income information of drivers in the same vehicle type and/or the same city in at least one working time according to the vehicle type information of the at least one driver, the city where the driver is located and the historical income information.
4. The method of claim 1, wherein generating the shipping schedule for the target user based on the user characteristic information and the driver average revenue comprises:
determining at least one order configuration information matched with the target user according to the user characteristic information, wherein the order configuration information comprises order quantity and/or order price adjustment information in a set time period;
determining predicted revenue information for at least one work length for the target user based on the driver average revenue and the order configuration information;
and generating the freight work plan based on the order configuration information and the prediction income information under at least one work time length.
5. The method of claim 4, wherein the shipping operational scenario comprises: one or a combination of at least one working time length of the target user, the prediction income information under at least one working time length, and the recommended member information corresponding to the order configuration information.
6. The method of claim 1, wherein the shipping work plan further includes a recommended work area for the target user;
the method further comprises the following steps:
determining each working area in the city where the driver is located according to the city where the driver of the target user is located;
and determining the recommended working area of the target user according to the order number of each working area.
7. The method of claim 1, wherein pushing the shipping work plan to the target user comprises:
inputting the freight work scheme into an interface generation template, and outputting interface display information of the freight work scheme through the interface generation template;
and displaying the interface display information in a display interface.
8. A pushing device for freight transportation working schemes is characterized by comprising:
the acquisition module is used for acquiring user characteristic information of a target user to be pushed;
the determining module is used for determining the average income of a driver according to the user characteristic information and historical freight data;
a generation module for generating a freight work plan for the target user based on the user characteristic information and the average driver revenue;
the pushing module is used for pushing the freight work scheme to the target user;
and the freight work scheme comprises the work time of the target user and corresponding prediction income information.
9. An electronic device, comprising: a memory, a processor; wherein the memory has stored thereon executable code which, when executed by the processor, causes the processor to perform the push method of freight work plan of any one of claims 1 to 7.
10. A computer readable medium having stored thereon at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the push method of a freight work scenario according to any one of claims 1 to 7.
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