CN112734121A - Information output method and device based on payment data - Google Patents
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Abstract
The invention discloses an information output method and device based on payment data, wherein the method comprises the following steps: receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information; obtaining a target revenue statistical table according to the order information and a preset revenue statistical table; and outputting revenue result information and revenue suggestion information based on the target revenue statistical table. The invention can improve the accuracy of determining the revenue situation.
Description
Technical Field
The invention relates to the field of electronic equipment, in particular to an information output method and device based on payment data.
Background
At present, with the increasing popularization of self-service equipment, users often use the self-service equipment to complete corresponding operations, such as purchasing operations, storage operations and the like.
However, in practice, it is found that a merchant who puts in the self-service device needs to manually count information such as payment data and commodity quantity of each self-service device, and how to earn the self-service device, the merchant can only measure the information based on own experience, and the accuracy is not high. Therefore, the existing revenue situation determination method has the problem of poor accuracy.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides an information output method and device based on payment data, and aims to at least improve the accuracy of determining the revenue situation.
According to an aspect of an embodiment of the present invention, there is provided an information output method based on payment data, including: receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information; obtaining a target revenue statistical table according to the order information and a preset revenue statistical table; and outputting revenue result information and revenue suggestion information based on the target revenue statistical table.
As an optional implementation manner, the obtaining a target revenue statistic table according to the order information and a preset revenue statistic table includes: according to the data type in the preset revenue statistical table, filling each data in the order information into the preset revenue statistical table to obtain the revenue statistical table after the data is filled; and when the target area in the revenue statistical table after the data is filled is detected to be filled with the data, performing data processing on each data based on the data statistical formula corresponding to the preset revenue statistical table to obtain the target revenue statistical table.
As an optional implementation manner, the outputting revenue result information and revenue recommendation information based on the target revenue statistic table includes: determining current revenue information based on the target revenue statistical table, wherein the current revenue information at least comprises total revenue and total amount of goods or services; determining predicted revenue information within a target time period based on the current revenue information; and outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information.
As an optional implementation manner, the outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information includes: outputting the revenue result information based on the current revenue information, wherein the revenue result information is used for indicating the current revenue situation; and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the commodities or the services exceeds a preset quantity threshold value, revenue suggestion information for indicating the increase of the self-service equipment is output.
As an optional implementation manner, after obtaining the target revenue statistic table according to the order information and a preset revenue statistic table, the method further includes: and outputting the target revenue statistical table.
According to another aspect of the embodiments of the present invention, there is also provided an information output apparatus based on payment data, including: the information receiving unit is configured to receive order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information; the revenue statistical table acquisition unit is configured to obtain a target revenue statistical table according to the order information and a preset revenue statistical table; and an information output unit configured to output revenue result information and revenue advice information based on the target revenue statistic table.
As an optional implementation manner, the revenue statistic table obtaining unit is further configured to: according to the data type in the preset revenue statistical table, filling each data in the order information into the preset revenue statistical table to obtain the revenue statistical table after the data is filled; and when the target area in the revenue statistical table after the data is filled is detected to be filled with the data, performing data processing on each data based on the data statistical formula corresponding to the preset revenue statistical table to obtain the target revenue statistical table.
As an optional implementation, the information output unit is further configured to: determining current revenue information based on the target revenue statistical table, wherein the current revenue information at least comprises total revenue and total amount of goods or services; determining predicted revenue information within a target time period based on the current revenue information; and outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information.
As an optional implementation, the information output unit is further configured to: outputting the revenue result information based on the current revenue information, wherein the revenue result information is used for indicating the current revenue situation; and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the commodities or the services exceeds a preset quantity threshold value, revenue suggestion information for indicating the increase of the self-service equipment is output.
As an optional implementation, the apparatus further includes: and an revenue statistic table output unit configured to output the target revenue statistic table after obtaining the target revenue statistic table according to the order information and a preset revenue statistic table.
According to another aspect of the embodiments of the present invention, there is also provided an information output apparatus based on payment data, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the processor executes the information output method based on payment data through the computer program.
According to still another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium having a computer program stored therein, wherein the computer program is configured to execute the above-mentioned information output method based on payment data when running.
In the embodiment of the invention, the order information transmitted by each self-service device can be received, the target revenue statistical table is obtained according to the order information and the preset revenue statistical table, and the revenue result information and the revenue suggestion information are output based on the target revenue statistical table. The process can be based on the revenue statistical tables set by each merchant, the target revenue statistical tables are automatically generated based on the order information of the self-service equipment, revenue result information and revenue suggestion information are output through intelligent analysis, the merchants are assisted to know revenue conditions more accurately, and the accuracy of determining the revenue conditions is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flow chart of an alternative payment data based information output method according to an embodiment of the present invention;
FIG. 2 is a flow diagram of an alternative payment data based information output method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an alternative information output device based on payment data according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an optional information output device based on payment data according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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 only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention provides a selectable information output method based on payment data, as shown in fig. 1, the information output method based on the payment data comprises the following steps:
s101, receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information.
In the embodiment of the invention, (the terminal device or the server) can be connected with each self-service device for data transmission. The self-service device may include, but is not limited to, a vending machine, a doll-grabbing machine, an automatic massage chair, and the like, which is not limited in this embodiment. When the user executes corresponding operation in the self-service equipment, an order is created for the operation, and the order comprises commodity information or service information and corresponding payment data. The order information is various information in the order, such as the above-mentioned goods information, service information, payment data, and the like. And summarizing the order information of each self-service device, so that the revenue situation can be analyzed. Further, the goods information may include, but is not limited to, a name of the goods, a category of the goods, a location of the goods on the shelf, and the like, the service information may include, but is not limited to, a name of the service, a category of the service, a duration of the service, and the like, and the payment data may include, but is not limited to, a payment amount, a payment channel. Still further, the predetermined time periods may be a plurality of time periods before the current time period. The time period is a period for performing data statistics, and may include, but is not limited to, a month, a quarter, a year, and the like.
And S102, obtaining a target revenue statistical table according to the order information and a preset revenue statistical table.
In the embodiment of the invention, the preset revenue statistical table can be a revenue statistical table preset by a merchant, information such as a report form format and the like can be set by the merchant in a user-defined way, and the adaptability of the generated target revenue statistical table is improved. The preset revenue statistical table is preset with data categories, and the target revenue statistical table can be obtained by analyzing various types of data in the order information and classifying the data into corresponding data categories.
S103, based on the target revenue statistical table, revenue result information and revenue suggestion information are output.
In the embodiment of the invention, the revenue result information is based on the data in the target revenue statistical table, and data analysis is carried out to obtain the result of the data analysis. And determining the revenue result information of the data according to the data analysis result, and outputting the revenue result information. For example, if the result of data analysis on the data in the target revenue statistical table indicates that the net profit exceeds fifty percent of the merchants in the same area, it may be determined that the revenue result information of the merchants belongs to the revenue result information that the revenue result is normal. Further, the revenue advice information is the revenue advice information corresponding to the revenue advice information determined based on the result of the data analysis. For example, if the data analysis of the data in the target revenue statistic table indicates that the net profit exceeds fifty percent of the merchants in the same region, and the categories of the commodities released by the merchants with the net profit of the same region in the top ten percent are counted as the target categories, the corresponding revenue recommendation information can be determined as the commodities recommended to be released in the target categories.
In the embodiment of the invention, the order information transmitted by each self-service device can be received, the target revenue statistical table is obtained according to the order information and the preset revenue statistical table, and the revenue result information and the revenue suggestion information are output based on the target revenue statistical table. The process can be based on the revenue statistical tables set by each merchant, the target revenue statistical tables are automatically generated based on the order information of the self-service equipment, revenue result information and revenue suggestion information are output through intelligent analysis, the merchants are assisted to know revenue conditions more accurately, and the accuracy of determining the revenue conditions is improved.
Further, another optional information output method based on payment data is provided in an embodiment of the present invention, as shown in fig. 2, the information output method based on payment data includes:
s201, receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information.
In the embodiment of the invention, (the terminal device or the server) can be connected with each self-service device for data transmission. The self-service device may include, but is not limited to, a vending machine, a doll-grabbing machine, an automatic massage chair, and the like, which is not limited in this embodiment. When the user executes corresponding operation in the self-service equipment, an order is created for the operation, and the order comprises commodity information or service information and corresponding payment data. The order information is various information in the order, such as the above-mentioned goods information, service information, payment data, and the like. And summarizing the order information of each self-service device, so that the revenue situation can be analyzed. Further, the goods information may include, but is not limited to, a name of the goods, a category of the goods, a location of the goods on the shelf, and the like, the service information may include, but is not limited to, a name of the service, a category of the service, a duration of the service, and the like, and the payment data may include, but is not limited to, a payment amount, a payment channel. Still further, the predetermined time periods may be a plurality of time periods before the current time period. The time period is a period for performing data statistics, and may include, but is not limited to, a month, a quarter, a year, and the like.
And S202, filling each data in the order information into a preset revenue statistical table according to the data type in the preset revenue statistical table to obtain the revenue statistical table after the data is filled.
In the embodiment of the invention, the data category to which each data in the order information belongs can be determined, the data category to which each data belongs is matched with the data category in the preset revenue statistical table, and each data is filled in the data category with the highest matching degree. Optionally, during the data filling process, the data may be sorted in time order.
And S203, when the target area in the revenue statistical table after the data is filled is detected to be filled with the data, performing data processing on each data based on a data statistical formula corresponding to a preset revenue statistical table to obtain a target revenue statistical table.
In the embodiment of the present invention, the target area may be a data area that needs to be calculated according to a formula, and may be one or more grids in a table. And the number of the target areas can be multiple, and under the condition that a certain target area is filled with data, the data in the target area can be processed according to a corresponding formula, so that an asynchronous data processing process is realized, and the probability of the phenomenon of low overall data processing efficiency caused by the abnormality of partial areas is reduced. In addition, the data statistical formula in the preset revenue statistical table can be preset by the merchant together with the revenue statistical table, so that various statistical requirements are met. The data statistical formula may include, but is not limited to, a summation formula, an averaging formula, a difference formula, and the like, which is not limited in this embodiment.
And S204, outputting a target revenue statistical table.
In the embodiment of the invention, the connection with the electronic equipment preset by the merchant can be established so as to output the target revenue statistical table to the electronic equipment preset by the merchant.
S205, based on the target revenue statistical table, determining current revenue information, wherein the current revenue information at least comprises total revenue and total amount of goods or services.
In the embodiment of the invention, the current revenue information is revenue information of the self-service equipment by the current time, and may include total revenue, total amount of goods or services, net profit and the like. The data in the current revenue information can be the data calculated in the target revenue statistical table, so that the current revenue information can be directly acquired from the target revenue statistical table.
S206, based on the current revenue information, the predicted revenue information in the target time period is determined.
In the embodiment of the invention, the predicted revenue information in the target time period can be determined based on the current revenue information. The target time period may refer to a next time period, or may be any one or more future time periods, which is not limited in this embodiment. Specifically, the prediction of future revenue generation information may be performed by inputting the current revenue generation information into a pre-trained prediction model, so that the model outputs the prediction revenue generation information within the target time period. Optionally, the prediction model may adopt a convolutional neural network model, and revenue information of a plurality of historical time periods is used as training data to train the prediction model, so that the prediction revenue information output by the prediction model is more accurate, and the trained prediction model is obtained.
And S207, outputting revenue result information and revenue suggestion information based on the current revenue information and the predicted revenue information.
As an optional implementation, outputting revenue result information and revenue recommendation information based on the current revenue information and the predicted revenue information includes: based on the current revenue information, revenue result information is output, and the revenue result information is used for indicating the current revenue condition; and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the goods or the services exceeds a preset quantity threshold value, outputting revenue suggestion information for indicating the increase of the self-service equipment.
In the embodiment of the invention, the revenue result information can be directly determined based on the corresponding relation between the current revenue information and the revenue result information. For example, if the current revenue information indicates a merchant with a net profit exceeding fifty percent of the same area, it may be determined that its corresponding revenue result information is that the revenue result is normal. Further, if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the goods or services exceeds a preset quantity threshold value, it can be determined that the self-service equipment is difficult to bear corresponding work currently, and revenue suggestion information for indicating to increase the self-service equipment can be output. And the income threshold and the quantity threshold are thresholds corresponding to the maximum affordable work of the current self-service equipment.
In the embodiment of the invention, the order information transmitted by each self-service device can be received, the target revenue statistical table is obtained according to the order information and the preset revenue statistical table, and the revenue result information and the revenue suggestion information are output based on the target revenue statistical table. The process can be based on the revenue statistical tables set by each merchant, the target revenue statistical tables are automatically generated based on the order information of the self-service equipment, revenue result information and revenue suggestion information are output through intelligent analysis, the merchants are assisted to know revenue conditions more accurately, and the accuracy of determining the revenue conditions is improved.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
According to another aspect of the embodiments of the present invention, there is also provided a payment data based information output apparatus for implementing the above payment data based information output method, as shown in fig. 3, including:
the information receiving unit 301 is configured to receive order information transmitted by each self-service device, where the order information includes commodity information or service information provided by each self-service device in a preset plurality of time periods, and payment data corresponding to the commodity information or the service information.
In the embodiment of the invention, the connection can be established with each self-service device for data transmission. The self-service device may include, but is not limited to, a vending machine, a doll-grabbing machine, an automatic massage chair, and the like, which is not limited in this embodiment. When the user executes corresponding operation in the self-service equipment, an order is created for the operation, and the order comprises commodity information or service information and corresponding payment data. The order information is various information in the order, such as the above-mentioned goods information, service information, payment data, and the like. And summarizing the order information of each self-service device, so that the revenue situation can be analyzed. Further, the goods information may include, but is not limited to, a name of the goods, a category of the goods, a location of the goods on the shelf, and the like, the service information may include, but is not limited to, a name of the service, a category of the service, a duration of the service, and the like, and the payment data may include, but is not limited to, a payment amount, a payment channel. Still further, the predetermined time periods may be a plurality of time periods before the current time period. The time period is a period for performing data statistics, and may include, but is not limited to, a month, a quarter, a year, and the like.
The revenue statistic table obtaining unit 302 is configured to obtain a target revenue statistic table according to the order information and a preset revenue statistic table.
In the embodiment of the invention, the preset revenue statistical table can be a revenue statistical table preset by a merchant, information such as a report form format and the like can be set by the merchant in a user-defined way, and the adaptability of the generated target revenue statistical table is improved. The preset revenue statistical table is preset with data categories, and the target revenue statistical table can be obtained by analyzing various types of data in the order information and classifying the data into corresponding data categories.
An information output unit 303 configured to output revenue result information and revenue advice information based on the target revenue statistic table.
In the embodiment of the invention, the revenue result information is based on the data in the target revenue statistical table, and data analysis is carried out to obtain the result of the data analysis. And determining the revenue result information of the data according to the data analysis result, and outputting the revenue result information. For example, if the result of data analysis on the data in the target revenue statistical table indicates that the net profit exceeds fifty percent of the merchants in the same area, it may be determined that the revenue result information of the merchants belongs to the revenue result information that the revenue result is normal. Further, the revenue advice information is the revenue advice information corresponding to the revenue advice information determined based on the result of the data analysis. For example, if the data analysis of the data in the target revenue statistic table indicates that the net profit exceeds fifty percent of the merchants in the same region, and the categories of the commodities released by the merchants with the net profit of the same region in the top ten percent are counted as the target categories, the corresponding revenue recommendation information can be determined as the commodities recommended to be released in the target categories.
As an optional implementation manner, the revenue statistic table obtaining unit 302 is further configured to: according to the data type in the preset revenue statistical table, filling each data in the order information into the preset revenue statistical table to obtain the revenue statistical table after the data is filled; and when the target area in the revenue statistical table after the data is filled is detected to be filled with the data, performing data processing on each data based on the data statistical formula corresponding to the preset revenue statistical table to obtain the target revenue statistical table.
In the embodiment of the invention, the data category to which each data in the order information belongs can be determined, the data category to which each data belongs is matched with the data category in the preset revenue statistical table, and each data is filled in the data category with the highest matching degree. Optionally, during the data filling process, the data may be sorted in time order. The target area can be a data area which needs to be calculated according to a formula, and can be one or more than one table. And the number of the target areas can be multiple, and under the condition that a certain target area is filled with data, the data in the target area can be processed according to a corresponding formula, so that an asynchronous data processing process is realized, and the probability of the phenomenon of low overall data processing efficiency caused by the abnormality of partial areas is reduced. In addition, the data statistical formula in the preset revenue statistical table can be preset by the merchant together with the revenue statistical table, so that various statistical requirements are met. The data statistical formula may include, but is not limited to, a summation formula, an averaging formula, a difference formula, and the like, which is not limited in this embodiment.
As an optional implementation, the information output unit 303 is further configured to: determining current revenue information based on the target revenue statistical table, wherein the current revenue information at least comprises total revenue and total amount of goods or services; determining predicted revenue information within a target time period based on the current revenue information; and outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information.
In the embodiment of the invention, the current revenue information is revenue information of the self-service equipment by the current time, and may include total revenue, total amount of goods or services, net profit and the like. The data in the current revenue information can be the data calculated in the target revenue statistical table, so that the current revenue information can be directly acquired from the target revenue statistical table. Predicted revenue information for the target time period may also be determined based on the current revenue information. The target time period may refer to a next time period, or may be any one or more future time periods, which is not limited in this embodiment. Specifically, the prediction of future revenue generation information may be performed by inputting the current revenue generation information into a pre-trained prediction model, so that the model outputs the prediction revenue generation information within the target time period. Optionally, the prediction model may adopt a convolutional neural network model, and revenue information of a plurality of historical time periods is used as training data to train the prediction model, so that the prediction revenue information output by the prediction model is more accurate, and the trained prediction model is obtained.
As an optional implementation, the information output unit 303 is further configured to: outputting the revenue result information based on the current revenue information, wherein the revenue result information is used for indicating the current revenue situation; and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the commodities or the services exceeds a preset quantity threshold value, revenue suggestion information for indicating the increase of the self-service equipment is output.
In the embodiment of the invention, the revenue result information can be directly determined based on the corresponding relation between the current revenue information and the revenue result information. For example, if the current revenue information indicates a merchant with a net profit exceeding fifty percent of the same area, it may be determined that its corresponding revenue result information is that the revenue result is normal. Further, if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the goods or services exceeds a preset quantity threshold value, it can be determined that the self-service equipment is difficult to bear corresponding work currently, and revenue suggestion information for indicating to increase the self-service equipment can be output. And the income threshold and the quantity threshold are thresholds corresponding to the maximum affordable work of the current self-service equipment.
As an optional implementation, the apparatus further includes: and an revenue statistic table output unit configured to output the target revenue statistic table after obtaining the target revenue statistic table according to the order information and a preset revenue statistic table.
In the embodiment of the invention, the connection with the electronic equipment preset by the merchant can be established so as to output the target revenue statistical table to the electronic equipment preset by the merchant.
In the embodiment of the invention, the order information transmitted by each self-service device can be received, the target revenue statistical table is obtained according to the order information and the preset revenue statistical table, and the revenue result information and the revenue suggestion information are output based on the target revenue statistical table. The process can be based on the revenue statistical tables set by each merchant, the target revenue statistical tables are automatically generated based on the order information of the self-service equipment, revenue result information and revenue suggestion information are output through intelligent analysis, the merchants are assisted to know revenue conditions more accurately, and the accuracy of determining the revenue conditions is improved.
According to a further aspect of the embodiments of the present invention, there is further provided a payment data based information output apparatus for implementing the payment data based information output method, as shown in fig. 4, the payment data based information output apparatus includes a memory 402 and a processor 404, the memory 402 stores a computer program, and the processor 404 is configured to execute the steps in any one of the method embodiments through the computer program.
Optionally, in this embodiment, the information output device based on the payment data may be located in at least one network device of a plurality of network devices of a computer network.
Optionally, in this embodiment, the processor may be configured to execute the following steps by a computer program:
s1, receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information;
s2, obtaining a target revenue statistical table according to the order information and a preset revenue statistical table;
and S3, outputting revenue result information and revenue suggestion information based on the target revenue statistical table.
Alternatively, it can be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration, and the information output device based on the payment data may also be a terminal device such as a smart phone (e.g., an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, a Mobile Internet Device (MID), a PAD, and the like. Fig. 4 is a diagram not limiting the structure of the information output apparatus based on the payment data. For example, the payment data based information output device may also include more or fewer components (e.g., network interfaces, etc.) than shown in fig. 4, or have a different configuration than shown in fig. 4.
The memory 402 may be configured to store software programs and modules, such as program instructions/modules corresponding to the information output method and apparatus based on payment data in the embodiment of the present invention, and the processor 404 executes various functional applications and data processing by running the software programs and modules stored in the memory 402, that is, implements the information output method based on payment data. The memory 402 may include high-speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 402 may further include memory located remotely from the processor 404, which may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof. The memory 402 may be used for storing information such as operation instructions, but is not limited thereto. As an example, as shown in fig. 4, the memory 402 may include, but is not limited to, the image acquisition unit 301, the set determination unit 302, the information determination unit 303, and the push unit 304 in the information output apparatus based on payment data. In addition, other module units in the information output device based on the payment data may also be included, but are not limited to these, and are not described in detail in this example.
Optionally, the transmission device 406 is used for receiving or sending data via a network. Examples of the network may include a wired network and a wireless network. In one example, the transmission device 406 includes a Network adapter (NIC) that can be connected to a router via a Network cable and other Network devices to communicate with the internet or a local area Network. In one example, the transmission device 406 is a Radio Frequency (RF) module, which is used to communicate with the internet in a wireless manner.
In addition, the information output apparatus based on the payment data further includes: a display 408 for displaying the display content; and a connection bus 410 for connecting the respective module parts in the above-described information output apparatus based on payment data.
According to a further aspect of embodiments of the present invention, there is also provided a storage medium having a computer program stored therein, wherein the computer program is arranged to perform the steps of any of the above-mentioned method embodiments when executed.
Alternatively, in the present embodiment, the storage medium may be configured to store a computer program for executing the steps of:
s1, receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information;
s2, obtaining a target revenue statistical table according to the order information and a preset revenue statistical table;
and S3, outputting revenue result information and revenue suggestion information based on the target revenue statistical table.
Alternatively, in this embodiment, a person skilled in the art may understand that all or part of the steps in the methods of the foregoing embodiments may be implemented by a program instructing hardware associated with the terminal device, where the program may be stored in a computer-readable storage medium, and the storage medium may include: flash disks, Read-Only memories (ROMs), Random Access Memories (RAMs), magnetic or optical disks, and the like.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
The integrated unit in the above embodiments, if implemented in the form of a software functional unit and sold or used as a separate product, may be stored in the above computer-readable storage medium. Based on such understanding, the technical solution of the present invention may be substantially or partially implemented in the prior art, or all or part of the technical solution may be embodied in the form of a software product stored in a storage medium, and including instructions for causing one or more computer devices (which may be personal computers, servers, or network devices) to execute all or part of the steps of the method according to the embodiments of the present invention.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed client may be implemented in other manners. The above-described embodiments of the apparatus are merely illustrative, and for example, a division of a unit is merely a division of a logic function, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that it is obvious to those skilled in the art that various modifications and improvements can be made without departing from the principle of the present invention, and these modifications and improvements should also be considered as the protection scope of the present invention.
Claims (10)
1. An information output method based on payment data, comprising:
receiving order information transmitted by each self-service device, wherein the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information;
obtaining a target revenue statistical table according to the order information and a preset revenue statistical table;
and outputting revenue result information and revenue suggestion information based on the target revenue statistical table.
2. The method of claim 1, wherein obtaining a target revenue statistic table according to the order information and a preset revenue statistic table comprises:
according to the data category in the preset revenue statistical table, filling each data in the order information into the preset revenue statistical table to obtain the revenue statistical table after the data is filled;
and when detecting that the target area in the revenue statistical table after the data is filled in is filled with the data, performing data processing on each data based on a data statistical formula corresponding to the preset revenue statistical table to obtain the target revenue statistical table.
3. The method of claim 1, wherein outputting revenue result information and revenue recommendation information based on the target revenue statistic table comprises:
determining current revenue information based on the target revenue statistical table, wherein the current revenue information at least comprises total revenue and total amount of goods or services;
determining predicted revenue information within a target time period based on the current revenue information;
and outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information.
4. The method of claim 3, wherein outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information comprises:
outputting the revenue result information based on the current revenue information, wherein the revenue result information is used for indicating the current revenue condition;
and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the commodities or the services exceeds a preset quantity threshold value, outputting revenue suggestion information for indicating the increase of the self-service equipment.
5. The method according to any one of claims 1 to 4, wherein after obtaining the target revenue statistic table according to the order information and a preset revenue statistic table, the method further comprises:
and outputting the target revenue statistical table.
6. An information output apparatus based on payment data, comprising:
the information receiving unit is configured to receive order information transmitted by each self-service device, and the order information comprises commodity information or service information provided by each self-service device in a plurality of preset time periods and payment data corresponding to the commodity information or the service information;
the revenue statistic table acquisition unit is configured to obtain a target revenue statistic table according to the order information and a preset revenue statistic table;
an information output unit configured to output revenue result information and revenue advice information based on the target revenue statistic table.
7. The apparatus of claim 6, wherein the revenue statistic table obtaining unit is further configured to:
according to the data category in the preset revenue statistical table, filling each data in the order information into the preset revenue statistical table to obtain the revenue statistical table after the data is filled;
and when detecting that the target area in the revenue statistical table after the data is filled in is filled with the data, performing data processing on each data based on a data statistical formula corresponding to the preset revenue statistical table to obtain the target revenue statistical table.
8. The apparatus of claim 6, wherein the information output unit is further configured to:
determining current revenue information based on the target revenue statistical table, wherein the current revenue information at least comprises total revenue and total amount of goods or services;
determining predicted revenue information within a target time period based on the current revenue information;
and outputting the revenue result information and the revenue recommendation information based on the current revenue information and the predicted revenue information.
9. The apparatus of claim 8, wherein the information output unit is further configured to:
outputting the revenue result information based on the current revenue information, wherein the revenue result information is used for indicating the current revenue condition;
and if the total income of the forecast revenue information exceeds a preset income threshold value and/or the total quantity of the commodities or the services exceeds a preset quantity threshold value, outputting revenue suggestion information for indicating the increase of the self-service equipment.
10. The apparatus of any one of claims 6 to 9, further comprising:
and the revenue statistic table output unit is configured to output the target revenue statistic table after the target revenue statistic table is obtained according to the order information and a preset revenue statistic table.
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