CN115936552A - Order service recommendation method, device, equipment and storage medium - Google Patents
Order service recommendation method, device, equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the disclosure provides an order service recommendation method, an order service recommendation device, order service recommendation equipment and a storage medium. The method comprises the steps of responding to order generation operation of a user, and obtaining order information of the user, wherein the order information comprises address information and goods information; determining a target service type corresponding to the order in a plurality of service types based on the address information and the goods information, wherein the plurality of service types are respectively corresponding to different service strategies; determining a target transportation scheme corresponding to the order according to a target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information; and recommending the target transportation scheme to the user. The target transportation scheme is automatically determined through the address information and the goods information in the user order information, and the problem of low ordering efficiency caused by the fact that the transportation scheme selected by the user is not matched with the goods needing to be transported by the user can be solved.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of data processing, and in particular relates to an order service recommendation method, an order service recommendation device and a storage medium.
Background
The rapid development of the internet era promotes the mode integration of media, and prompts a series of brand products depending on the current industrial structure. The deep integration of the internet industry and the logistics industry is new, and a new platform of freight application software appears.
At present, when a user places an order in a freight application software in a mode of freely selecting transportation service, the situation that the selected transportation service is not matched with goods which the user needs to transport can occur, and the problems of low ordering efficiency and poor customer experience are caused.
Disclosure of Invention
The embodiment of the disclosure provides an order service recommendation method, an order service recommendation device, order service recommendation equipment and a storage medium, which are used for solving the problems of low order placing efficiency and poor customer experience.
In a first aspect, an embodiment of the present disclosure provides an order service recommendation method, including:
responding to order generation operation of a user, and acquiring order information of the user, wherein the order information comprises address information and goods information;
determining a target service type corresponding to the order in a plurality of service types based on the address information and the goods information, wherein the service types are respectively corresponding to different service strategies;
determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information;
recommending the target transportation scheme to the user.
According to an embodiment of the present disclosure, the order information further includes historical order information of the user;
the determining a target service type corresponding to the order among a plurality of service types based on the address information and the goods information comprises:
determining the number of orders generated by the user within a preset time period based on the historical order information;
determining the target service type corresponding to the order among the plurality of service types based on the order quantity, the address information, and the goods information.
According to an embodiment of the present disclosure, the order information further includes an initial service type;
after the order generation operation of the user is responded and the order information of the user is acquired, the method further comprises the following steps:
displaying a plurality of transportation schemes corresponding to the initial service type;
in response to a selection operation for the plurality of transportation schemes, determining an initial transportation scheme corresponding to the order among the plurality of transportation schemes;
the recommending the target transportation scheme to the user comprises:
and if the matching of the target transportation scheme and the initial transportation scheme fails, displaying the target transportation scheme for a user to select.
According to an embodiment of the present disclosure, the method further comprises:
replacing the initial transportation plan with the target transportation plan in response to a selection operation for the target transportation plan.
According to an embodiment of the present disclosure, the cargo information includes a cargo type and a cargo quantity;
the determining a target transportation scheme corresponding to the order according to the target service policy corresponding to the goods information and the target service type includes:
and determining the target transportation scheme in a plurality of transportation schemes corresponding to the target service strategy according to the cargo type and the cargo quantity.
According to the embodiment of the disclosure, the order information further comprises personalized demand information;
the determining the target transportation scheme in a plurality of transportation schemes corresponding to the target service policy according to the cargo type and the cargo quantity includes:
determining a plurality of transportation schemes to be selected in a plurality of transportation schemes corresponding to the target service strategy, wherein the transportation vehicle information and the service personnel information in the plurality of transportation schemes to be selected meet the personalized demand information;
and determining the target transportation scheme in the plurality of transportation schemes to be selected according to the cargo type and the cargo quantity.
According to an embodiment of the present disclosure, the method further comprises:
displaying a plurality of preset personalized demand information;
and in response to the selection operation aiming at the plurality of preset personalized demand information, determining the personalized demand information in the plurality of preset personalized demand information.
In a second aspect, an embodiment of the present disclosure provides an order service recommendation apparatus, including:
the response module is configured to execute order generation operation responding to a user and acquire order information of the user, wherein the order information comprises address information and goods information;
a determining module configured to perform determining a target service type corresponding to the order among a plurality of service types based on the address information and the goods information, the plurality of service types each corresponding to a different service policy; determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information;
a recommendation module configured to perform recommending the target transportation scheme to the user.
In a third aspect, an embodiment of the present disclosure provides an electronic device, including: a memory, a processor; wherein the memory has stored thereon executable code which, when executed by the processor, causes the processor to perform the order service recommendation method of the first aspect.
In a fourth aspect, an embodiment of the present disclosure provides a non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to execute the order service recommendation method according to the first aspect.
In the embodiment of the present disclosure, it is assumed that, in a case where a user places an order, an appropriate transportation scheme is provided for the user, and for this purpose, first, order information of the user is acquired in response to an order generation operation of the user, where the order information includes address information and goods information. Thus, a target service type corresponding to the order can be determined in a plurality of service types according to the address information and the goods information of the user, wherein different service types correspond to different service strategies. And then, determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information. Finally, the target transportation scheme may be recommended to the user. The target service type is automatically determined by the address information and the goods information in the user order information, and the corresponding target transportation scheme is automatically determined according to the target service type and the goods information, so that the problem of low ordering efficiency caused by mismatching of the transportation scheme selected by the user and the goods needing to be transported by the user can be solved, and the customer experience is effectively improved.
These and other aspects of the disclosure will be more readily apparent from the following description of the embodiments.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and other drawings can be obtained according to the drawings without creative efforts for those skilled in the art.
Fig. 1 is a flowchart of an order service recommendation method according to an embodiment of the present disclosure.
Fig. 2 is a flowchart of a target service type determination method according to an embodiment of the present disclosure.
Fig. 3 is a schematic diagram of a recommendation page provided in an embodiment of the present disclosure.
Fig. 4 is a schematic structural diagram of an order service recommendation device according to an embodiment of the present disclosure.
Fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Fig. 6 is a schematic structural diagram of another electronic device provided in the embodiment of the present disclosure.
Detailed Description
In order to make the technical solutions of the present disclosure better understood, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure.
In some of the flows described in the specification and claims of this disclosure and in the above-described figures, a number of operations are included that occur in a particular order, but it should be clearly understood that these operations may be performed out of order or in parallel as they occur herein, the order of the operations being 101, 102, etc. merely to distinguish between various operations, and the order of the operations by themselves does not represent any order of performance. Additionally, the flows may include more or fewer operations, and the operations may be performed sequentially or in parallel. It should be noted that, the descriptions of "first", "second", etc. in this document are used for distinguishing different messages, devices, modules, etc., and do not represent a sequential order, nor limit the types of "first" and "second" to be different.
Freight refers to the general transportation of goods provided by transportation industries that involve the use of multiple modes of transportation to transport goods (e.g., bulk goods, liquids, containers, etc.) between destinations. At present, freight software generally guarantees timeliness and interactivity of goods allocation information through a double form of a webpage and a client by means of a mature internet technology, realizes networking of logistics and goods source information, shortens goods allocation time, improves goods allocation efficiency, reduces or eliminates a phenomenon of empty driving of transport vehicles, and meets transport requirements of line transport companies and broad users or goods owners.
However, in practical applications, because the familiarity of the user with various transportation services is low, when the user places an order in the shipping application software in a manner of freely selecting the transportation services, the situation that the selected transportation services are not matched with goods that the user needs to transport occurs, so that the ordering efficiency is low, and the customer experience is poor.
In order to solve the technical problem, a core idea of the order service recommendation method provided by the embodiment of the disclosure is as follows: responding to order generation operation of a user, and acquiring order information of the user, wherein the order information comprises address information and goods information; determining a target service type corresponding to the order in a plurality of service types based on the address information and the goods information, wherein the plurality of service types are respectively corresponding to different service strategies; determining a target transportation scheme corresponding to the order according to a target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information; and recommending the target transportation scheme to the user.
The order service recommendation method provided by the embodiment of the disclosure may be executed by a control device, where the control device may be an access terminal device such as a mobile phone, a PC, a notebook computer, or the like, or may be a server. The server may be a physical server or may also be a virtual server. The server can be a physical or virtual server at a user side, and can also be a cloud server.
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are only a part of the embodiments of the present disclosure, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Fig. 1 is a flowchart of an order service recommendation method according to an embodiment of the present disclosure. As shown in fig. 1, the method includes S101 to S104.
S101, responding to order generation operation of a user, and obtaining order information of the user, wherein the order information comprises address information and goods information.
S102, determining a target service type corresponding to the order in a plurality of service types based on the address information and the goods information, wherein the plurality of service types are respectively corresponding to different service strategies.
S103, determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information.
And S104, recommending the target transportation scheme to the user.
When there is a shipping demand, the user can create an order at the shipping application side or the shipping web page side. When creating the order, the user may enter address information and cargo information at the shipping application or shipping web page. Thereafter, order information created by the user may be acquired in response to the order generating operation of the user.
In this embodiment, the order information may include address information and goods information. Specifically, the address information may include shipping address information and receiving address information. The cargo information may include a cargo type and a cargo quantity, and further, the cargo information may include a plurality of cargo types and a cargo quantity corresponding to each cargo type.
After the address information and the goods information are obtained, a target service type corresponding to the order can be determined in the multiple service types based on the address information and the goods information. In this embodiment, different service types may correspond to different service policies.
In practice, the service types may include general moving, enterprise moving, large cargo transportation, and so on. In the present embodiment, the general movement may refer to transporting goods such as furniture from a residential district for delivery to a residential district for receipt or the like; the enterprise moving can mean that goods such as office supplies and the like are transported to a receiving office place and the like from the delivery office place; the transport of goods may refer to the transport of specified goods from a delivery location to a receiving location or the like.
Taking the service types of common moving, enterprise moving and large cargo transportation as examples, each service type corresponds to different service strategies. In the present embodiment, the service policy may refer to a selection policy of a transport vehicle, a carrier, a service person, and the like. Specifically, if the service type is general moving, since the road of the residential area is usually narrow, in order to facilitate the passing of the transportation vehicle, a small transportation vehicle and the like can be selected when the transportation vehicle is selected; if the service type is enterprise moving, the number of office products to be moved is possibly large, a medium-sized or large-sized transport vehicle can be selected when the transport vehicle is selected, and two or more service personnel can be selected for service and the like to improve loading or unloading efficiency; if the service type is large cargo transportation, a large transportation vehicle may be selected when selecting the transportation vehicle, and a corresponding transportation tool may be selected to improve the transportation efficiency, and specifically, the transportation tool may include a transportation cart. It should be noted that the service types and the service policies are only exemplary embodiments, and any other service types and service policies may also be included according to specific implementation needs.
After the target service type is determined, a target transportation scheme corresponding to the order may be determined according to the goods information and a target service policy corresponding to the target service type. In this embodiment, the target transportation plan may include target transportation vehicle information and target service person information. Further, the target transportation plan may further include target carrier information and the like.
In practical applications, the target transportation vehicle information may include the type, number, etc. of transportation vehicles; the target service person information may include the number of service persons, and the like. Further, the target carrier information may include the type, number, etc. of carriers.
Taking the target service type as a common moving as an example, the type of the transportation vehicle can be determined as a small transportation vehicle according to the service policy corresponding to the common moving. If the number of cargo in the cargo information is 50, the upper limit of the number of small transportation vehicles to be loaded is 30. At this time, the target transportation vehicle information in the target transportation scheme may include: two small transport vehicles transport once; alternatively, the target transportation vehicle information in the target transportation scheme may further include: and (4) transporting twice by using a small transportation vehicle.
In practical application, after the target transportation scheme is determined, the target transportation scheme can be recommended to the user for display so that the user can select the target transportation scheme. The transportation scheme selected by the user is prevented from being directly replaced by the target transportation scheme, so that the use experience of the user is improved.
In order to further improve the accuracy of the target service type, historical order information of the user can be acquired, and then the historical order information is added to the order information of the user.
Fig. 2 is a flowchart of a method for determining a target service type according to an embodiment of the present disclosure. As shown in fig. 2, the method includes S201 to S202.
S201, determining the order quantity generated by the user in a preset time period based on the historical order information.
S202, determining a target service type corresponding to the order in the plurality of service types based on the order quantity, the address information and the goods information.
First, the order quantity of the user in a preset time period can be determined based on historical order information. In this embodiment, the preset time period may include one year, one month, one week, or any other time period.
Then, based on the number of orders of the user in a preset time period and the target service type of each historical order, the historical target service type commonly used by the user can be determined. Thereafter, a target service type corresponding to the order may be determined among the plurality of service types based on the address information and the goods information with reference to the historical target service type of the user.
Taking the number of orders of a certain user in one month as an example, in the 10 orders, the target service type of 9 orders is large cargo transportation, and the target service type of 1 order is common moving, so that the large cargo transportation can be determined as the common historical target service type of the user. Then, a priority may be given to determining bulk shipments as the target service type for the user's current order. However, in order to ensure the rigor of the determination of the target service type, the type of the target reading material needs to be further determined by combining address information and goods information.
In practical applications, the historical order information may further include historical address information and historical target service types for each historical order. By taking the historical address information and the historical target service type of each historical order as references, the accuracy of determining the target service type can be improved.
For example, if the delivery address and the receiving address of the historical address information in each historical order of a certain user are residential districts, and the target service type of each historical order information is large cargo transportation. The determination of bulk shipments as the target service type may be prioritized when processing orders again for the same address information for that user.
In order to ensure the selectivity of the user, the initial service type selected by the user may be further included in the order information. In this embodiment, the initial service type may be one of a plurality of service types. After determining the initial service type, a plurality of transportation scenarios corresponding to the initial service type may be exposed. Then, in response to a selection operation for the plurality of transportation schemes, an initial transportation scheme corresponding to the order is determined among the plurality of transportation schemes.
In this embodiment, the user may autonomously select a plurality of transportation schemes according to the initial service type, so as to meet the personalized requirements of the user.
In order to avoid that the initial transportation scheme selected by the user cannot be matched with the goods which need to be transported actually, the target transportation scheme can be matched with the initial transportation scheme, and if the target transportation scheme is failed to be matched with the initial transportation scheme, the target transportation scheme is displayed for the user to select. Otherwise, if the target transportation scheme is successfully matched with the initial transportation scheme, the target transportation scheme is the same as the initial transportation scheme.
In the event that the target transportation scheme and the initial transportation scheme fail to match, a recommendation page may be presented. Fig. 3 is a schematic diagram of a recommendation page provided by an embodiment of the present disclosure. As shown in fig. 3, the recommendation page 300 includes an order information presentation area 301, an initial transportation scheme presentation area 302, and a target transportation scheme presentation area 303. The order information display area 301 may include address information, goods information, and the like. The initial transportation scenario presentation area 302 may include initial transportation vehicle information, initial carrier information, initial service person information, and the like. Accordingly, the target transportation scenario presentation area 303 may include target transportation vehicle information, target carrier information, target service person information, and the like.
Under the recommendation page 300 described above, the user may select to use the target transportation scheme. Specifically, in response to the selection operation for the target transportation scenario, the initial transportation scenario is replaced with the target transportation scenario.
Further, if the user refuses to select the target transportation scheme, prompt information that the initial transportation scheme is not matched with the current order can be output, so that the user can reselect the transportation scheme.
In determining the target transportation scheme, in addition to the quantity of the goods, the type of the goods needs to be considered. Specifically, the target transportation scheme may be determined among a plurality of transportation schemes corresponding to the target service policy according to the type of the goods and the number of the goods.
In this embodiment, each target service policy corresponds to different transportation vehicles, service personnel, transportation tools, and the like, so that different transportation vehicles, service personnel, and transportation tools may be combined to generate different transportation schemes. Further, in determining the target transportation scheme, a selection may be made among a plurality of transportation schemes to determine the target transportation scheme.
In practical applications, the transportation vehicles may be classified not only according to size but also according to loading manner, for example, the transportation vehicles may include flat bed transportation vehicles and box freight transportation vehicles. Further, when determining the target transportation scheme, the type of the transportation vehicle and the like may be selected according to the type of the cargo. For example, whether goods are easily damaged or not can be determined according to the types of the goods, and in the case that the goods are easily damaged, a freight transport vehicle can be preferentially selected; otherwise, a flat plate carrier vehicle and the like can be preferentially selected.
In order to further meet the personalized requirements of the user, the order information can also comprise personalized requirement information input by the user. When setting the personalized demand information, a plurality of preset personalized demand information may be displayed first, and then the personalized demand information is determined among the plurality of preset personalized demand information in response to a selection operation for the plurality of preset personalized demand information. In practical application, a remark page can be displayed, and the user can fill personalized demand information on the page.
Based on the personalized demand information, when a target transportation scheme is determined in a plurality of transportation schemes corresponding to the target service policy according to the type of goods and the quantity of goods, a plurality of transportation schemes to be selected containing transportation vehicle information and service personnel information which can meet the personalized demand information can be determined in the plurality of transportation schemes corresponding to the target service policy, and then the target transportation scheme is determined in the plurality of transportation schemes to be selected according to the type of goods and the quantity of goods.
For example, if the personalized demand information selected or input by the user is used as the furniture disassembly service, service personnel with furniture disassembly skills can be screened in advance and added to the transportation scheme to be selected. And then determining a target transportation scheme in the transportation schemes to be selected according to the type and the quantity of the goods.
Fig. 4 is a schematic structural diagram of an order service recommendation device according to an embodiment of the present disclosure; as shown in fig. 4, the order service recommendation apparatus 400 provided in the present embodiment includes a response module 401, a determination module 402, and a recommendation module 403.
A response module 401 configured to perform an order generation operation in response to a user, and acquire order information of the user, where the order information includes address information and goods information;
a determining module 402 configured to perform determining a target service type corresponding to the order among a plurality of service types based on the address information and the goods information, the plurality of service types each corresponding to a different service policy; determining a target transportation scheme corresponding to the order according to a target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information;
a recommending module 403 configured to perform recommending the target transportation scheme to the user.
According to an embodiment of the present disclosure, the order information further includes historical order information of the user.
A determining module 402 further configured to perform determining the number of orders generated by the user within a preset time period based on the historical order information; a target service type corresponding to the order is determined among the plurality of service types based on the order quantity, the address information, and the goods information.
According to an embodiment of the present disclosure, the order information further includes an initial service type.
After the order information of the user is acquired in response to the order generation operation of the user, the method further comprises the following steps:
a response module 401 further configured to perform exposing a plurality of transportation scenarios corresponding to the initial service type; in response to a selection operation for the plurality of transportation solutions, an initial transportation solution corresponding to the order is determined among the plurality of transportation solutions.
And the recommending module 403 is further configured to display the target transportation scheme for the user to select if the target transportation scheme and the initial transportation scheme fail to be matched.
According to an embodiment of the present disclosure, the recommending module 403 is further configured to perform replacing the initial transportation scheme with the target transportation scheme in response to the selecting operation for the target transportation scheme.
According to an embodiment of the present disclosure, the goods information includes a goods type and a goods quantity.
The determining module 402 is further configured to determine a target transportation scheme among a plurality of transportation schemes corresponding to the target service policy according to the cargo type and the cargo quantity.
According to an embodiment of the present disclosure, the order information further includes personalized demand information.
The determining module 402 is further configured to determine a plurality of transportation schemes to be selected from a plurality of transportation schemes corresponding to the target service policy, wherein transportation vehicle information and service personnel information in the plurality of transportation schemes to be selected meet the personalized demand information; and determining a target transportation scheme in a plurality of transportation schemes to be selected according to the type and the quantity of the goods.
According to an embodiment of the present disclosure, the response module 401 is further configured to perform displaying a plurality of preset personalized demand information; in response to a selection operation for a plurality of preset individualized requirement information, individualized requirement information is determined among the plurality of preset individualized requirement information.
The order service recommendation apparatus shown in fig. 4 may execute the order service recommendation method shown in the embodiment shown in fig. 1, and the implementation principle and the technical effect are not described again. The specific manner in which each module of the order service recommendation device in the above embodiments performs operations has been described in detail in the embodiments related to the method, and will not be elaborated herein.
In one possible design, the structure of the order service recommending apparatus shown in fig. 4 may be implemented as an electronic device. As shown in fig. 5, the electronic device 500 may include: a processor 501 and a memory 502. Wherein the memory 502 has stored thereon executable code which, when executed by the processor 501, at least makes the processor 501 capable of implementing the order service recommendation method as provided in the embodiment of fig. 1 described above.
The control device may further include a communication interface 503 for communicating with other devices.
Fig. 6 is a schematic structural diagram of another electronic device provided in an embodiment of the present disclosure, and as shown in fig. 6, the electronic device 600 may include one or more of the following components: a processing component 602, a memory 604, a power component 606, a multimedia component 608, an audio component 610, an input/output (I/O) interface 612, a sensor component 614, and a communication component 616.
The processing component 602 generally controls overall operation of the electronic device 600, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 602 may include one or more processors 620 to execute instructions to perform all or some of the steps of the methods S101-S105 described above. Further, the processing component 602 can include one or more modules that facilitate interaction between the processing component 602 and other components. For example, the processing component 602 may include a multimedia module to facilitate interaction between the multimedia component 608 and the processing component 602.
The memory 604 is configured to store various types of data to support operations at the electronic device 600. Examples of such data include instructions for any application or method operating on the electronic device 600, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 604 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The multimedia component 608 includes a screen that provides an output interface between the electronic device 600 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 608 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 600 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 610 is configured to output and/or input audio signals. For example, the audio component 610 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 600 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signal may further be stored in the memory 604 or transmitted via the communication component 616. In some embodiments, audio component 610 further includes a speaker for outputting audio signals.
The input/output interface 612 provides an interface between the processing component 602 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor component 614 includes one or more sensors for providing status assessment of various aspects of the electronic device 600. For example, the sensor component 614 may detect an open/closed state of the electronic device 600, the relative positioning of components, such as a display and keypad of the electronic device 600, the sensor component 614 may also detect a change in position of the electronic device 600 or a component of the electronic device 600, the presence or absence of user contact with the electronic device 600, orientation or acceleration/deceleration of the electronic device 600, and a change in temperature of the electronic device 600. The sensor assembly 614 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 614 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 614 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 616 is configured to facilitate communications between the electronic device 600 and other devices in a wired or wireless manner. The electronic device 600 may access a wireless network based on a communication standard, such as WiFi,2G or 3G or 4G or a combination thereof. In an exemplary embodiment, the communication component 616 receives broadcast signals or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 616 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, ultra Wideband (UWB) technology, bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 600 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above order service recommendation method.
In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as the memory 604 comprising instructions, executable by the processor 620 of the electronic device 600 to perform the above-described method is also provided. For example, the non-transitory computer-readable storage medium may be implemented by any type or combination of volatile or non-volatile storage devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
In addition, the disclosed embodiment provides a non-transitory machine-readable storage medium, on which executable code is stored, and when the executable code is executed by a processor of an electronic device, the processor is caused to execute the order service recommendation method provided in the foregoing embodiment shown in fig. 1.
The above-described apparatus embodiments are merely illustrative, wherein the various modules illustrated as separate components may or may not be physically separate. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that the embodiments can be implemented by adding necessary general hardware platform, and of course, can also be implemented by a combination of hardware and software. With this understanding in mind, the above-described solutions and/or portions thereof that contribute to the present disclosure may be embodied in the form of a computer program product which may be embodied on one or more computer-usable storage media having computer-usable program code embodied therein (including, but not limited to, disk storage, CD-ROM, optical storage, etc.).
Finally, it should be noted that: the above examples are only intended to illustrate the technical solutions of the present disclosure, not to limit them; although the present disclosure has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present disclosure.
Claims (10)
1. An order service recommendation method, comprising:
responding to order generation operation of a user, and acquiring order information of the user, wherein the order information comprises address information and goods information;
determining a target service type corresponding to the order in a plurality of service types based on the address information and the goods information, wherein the service types are respectively corresponding to different service strategies;
determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information;
recommending the target transportation scheme to the user.
2. The method of claim 1, wherein the order information further comprises historical order information of the user;
the determining a target service type corresponding to the order among a plurality of service types based on the address information and the goods information comprises:
determining the number of orders generated by the user within a preset time period based on the historical order information;
determining the target service type corresponding to the order among the plurality of service types based on the order quantity, the address information, and the goods information.
3. The method of claim 1, wherein the order information further comprises an initial service type;
after the order generation operation in response to the user acquires the order information of the user, the method further includes:
displaying a plurality of transportation schemes corresponding to the initial service type;
in response to a selection operation for the plurality of transportation schemes, determining an initial transportation scheme corresponding to the order among the plurality of transportation schemes;
the recommending the target transportation scheme to the user comprises:
and if the matching of the target transportation scheme and the initial transportation scheme fails, displaying the target transportation scheme for a user to select.
4. The method of claim 3, further comprising:
replacing the initial transportation plan with the target transportation plan in response to a selection operation for the target transportation plan.
5. The method of claim 1, wherein the cargo information includes a cargo type and a cargo quantity;
the determining a target transportation scheme corresponding to the order according to the target service policy corresponding to the goods information and the target service type includes:
and determining the target transportation scheme in a plurality of transportation schemes corresponding to the target service strategy according to the cargo type and the cargo quantity.
6. The method of claim 5, wherein the order information further comprises personalized demand information;
the determining the target transportation scheme in a plurality of transportation schemes corresponding to the target service policy according to the cargo type and the cargo quantity includes:
determining a plurality of transportation schemes to be selected in a plurality of transportation schemes corresponding to the target service strategy, wherein the transportation vehicle information and the service personnel information in the plurality of transportation schemes to be selected meet the personalized demand information;
and determining the target transportation scheme in the plurality of transportation schemes to be selected according to the cargo type and the cargo quantity.
7. The method of claim 6, further comprising:
displaying a plurality of preset personalized demand information;
and in response to the selection operation aiming at the plurality of preset personalized demand information, determining the personalized demand information in the plurality of preset personalized demand information.
8. An order service recommendation device, comprising:
the response module is configured to execute order generation operation responding to a user and acquire order information of the user, wherein the order information comprises address information and goods information;
a determining module configured to perform determining a target service type corresponding to the order among a plurality of service types based on the address information and the goods information, the plurality of service types each corresponding to a different service policy; determining a target transportation scheme corresponding to the order according to the target service strategy corresponding to the goods information and the target service type, wherein the target transportation scheme comprises target transportation vehicle information and target service personnel information;
a recommendation module configured to perform recommending the target transportation scheme to the user.
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 order service recommendation method of any of claims 1 to 7.
10. A non-transitory machine-readable storage medium having stored thereon executable code, which when executed by a processor of an electronic device, causes the processor to perform the order service recommendation method of any of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117196433A (en) * | 2023-08-25 | 2023-12-08 | 山东浪潮爱购云链信息科技有限公司 | Order-based transportation management method, equipment and medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117196433A (en) * | 2023-08-25 | 2023-12-08 | 山东浪潮爱购云链信息科技有限公司 | Order-based transportation management method, equipment and medium |
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