CN114187029A - Method and system for verifying commodity price parameters - Google Patents
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Abstract
The invention provides a commodity price parameter verification method, which comprises the following steps: s1: receiving commodity parameters input by a user terminal; the commodity parameters comprise commodity type parameters and commodity price parameters; s2: acquiring a standard commodity price parameter corresponding to a commodity with the same type parameter as the currently input commodity from a commodity database, and judging whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range; if yes, importing the input commodity parameters; if not, sending out prompt information. According to the method and the system, the price of the commodity provided by the supplier is limited by inputting the standard commodity price parameters into the commodity database in advance, and the system platform can directly limit the price quoted by the supplier when obvious unreasonable high price appears, so that the phenomenon that the benefit of a buyer is damaged due to overhigh price quoted by the supplier is avoided.
Description
Technical Field
The invention relates to the field of commodity purchasing service, in particular to a method for verifying commodity price parameters.
Background
For commodity purchasing services, whether commodity pricing is reasonable is often the most concerned issue for purchasing parties. However, when the buyer is used as a buyer and receives quoted prices of different suppliers, due to the lack of a channel for more widely acquiring information, the rationality of the prices of the commodities provided by the suppliers cannot be judged, and if the quoted prices of the suppliers are too high and the purchasing server does not detailed, the benefits of the buyer are directly damaged. Taking government procurement as an example, most of the followed principles are obtained by low price suppliers, but if the prices of commodities are simultaneously raised by a plurality of suppliers, the rationality of the prices of the commodities purchased by a government decision maker cannot be judged at any time, and the benefit is easily damaged. Therefore, it is necessary to provide an open and transparent bidding platform to allow each supplier to freely quote and to monitor the reasonability of the quote of each supplier.
Disclosure of Invention
Therefore, a method for verifying commodity price parameters needs to be provided, so as to solve the problem that in the existing commodity purchasing process, due to the fact that a purchasing party cannot obtain reasonable price quoted of commodities when purchasing the commodities, the price quoted by an individual supplier is unreasonable, and the benefit of the purchasing party is damaged.
In a first aspect, the present application provides a method of commodity price parameter verification, the method comprising the steps of:
s1: receiving commodity parameters input by a user terminal; the commodity parameters comprise commodity type parameters and commodity price parameters;
s2: acquiring a standard commodity price parameter corresponding to a commodity with the same type parameter as the currently input commodity from a commodity database, and judging whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range;
if the determination at step S2 is yes, step S3 is executed: importing the input commodity parameters;
if the step S2 determines not to be the case, execute step S4: and sending out prompt information when the import fails.
As an alternative embodiment, the method comprises:
respectively calculating a preset identification code for each commodity in the commodity database based on the commodity type parameters, and storing the preset identification code and the corresponding commodity price parameters in the commodity database;
step S2 includes: calculating an identification code based on the commodity type parameters input by the user terminal, acquiring commodity price parameters corresponding to preset identification codes matched with the calculated identification codes from the commodity database, and judging whether the error between the input commodity price parameters and the standard commodity price parameters is within a preset error range.
As an alternative embodiment, the commodity type parameter includes a commodity model number and/or a commodity size and/or a commodity brand and/or a commodity weight; the identification code is obtained by performing hash operation on each commodity type parameter corresponding to the commodity.
As an alternative embodiment, the commodity price parameter corresponding to the commodity in the commodity database is obtained based on the following manner:
and acquiring commodity price parameters corresponding to commodities with the same commodity type parameters from a plurality of shopping platforms in real time, screening out the commodity price parameters with deviation larger than a threshold value from a preset reference value, carrying out weighted average on the rest commodity price parameters, and taking the calculation result as the commodity price parameters corresponding to the commodities.
As an alternative embodiment, the obtaining, in real time, the commodity price parameters corresponding to the commodities with the same commodity type parameter from the plurality of shopping platforms includes:
and monitoring the commodity price parameter change corresponding to the commodities with the same commodity type parameters on each shopping platform based on the time dimension information, and recording the change timestamp information and the commodity price parameters before and after the change.
As an alternative embodiment, the obtaining, in real time, the commodity price parameters corresponding to the commodities with the same type of parameters from the plurality of shopping platforms includes:
and judging whether the timestamp information of the acquired commodity price parameters meets the preset date condition, if so, automatically ignoring the acquired commodity price parameters, and not listing the acquired commodity price parameters in the numerical calculation of the commodity price parameters.
As an alternative embodiment, step S2 is followed by: and putting on shelves and displaying commodity information.
As an alternative embodiment, the prompt message includes one or more of an audio prompt message, an image prompt message, a light prompt message and a video prompt message.
As an alternative embodiment, the commodity parameters collected from different shopping platforms are subjected to standardized conversion, so that the arrangement of the commodity type parameters and the commodity price parameters conforms to a preset format.
In a second aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, performs the method steps of any one of the above-described schemes.
Different from the prior art, the invention provides a method for verifying commodity price parameters, which comprises the following steps: s1: receiving commodity parameters input by a user terminal; the commodity parameters comprise commodity type parameters and commodity price parameters; s2: acquiring a standard commodity price parameter corresponding to a commodity with the same type parameter as the currently input commodity from a commodity database, and judging whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range; if yes, importing the input commodity parameters; if not, sending out prompt information. According to the method and the system, the price of the commodity provided by the supplier is limited in a mode of recording the standard commodity price parameters in the commodity database in advance, and when obvious unreasonable high price occurs, the system platform can directly limit the supplier to issue the quotation so that the supplier can quote again. And the commodity parameters input by different suppliers are not intercommunicated, thereby not only ensuring the fairness of bidding, but also avoiding the phenomenon that the benefit of a buyer is damaged due to overhigh price quoted by the suppliers.
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Fig. 1 is a flowchart of a method for verifying a price parameter of a commodity according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for verifying a commodity price parameter according to an embodiment of the present invention.
Detailed Description
To explain technical contents, structural features, and objects and effects of the technical solutions in detail, the following detailed description is given with reference to the accompanying drawings in conjunction with the embodiments.
As shown in fig. 1, in a first aspect, the present application provides a method for commodity price parameter verification, including the following steps:
s1: receiving commodity parameters input by a user terminal; the commodity parameters comprise commodity type parameters and commodity price parameters;
s2: acquiring a standard commodity price parameter corresponding to a commodity with the same type parameter as the currently input commodity from a commodity database, and judging whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range;
if the determination at step S2 is yes, step S3 is executed: importing input commodity parameters;
if the step S2 determines not to be the case, execute step S4: and sending out prompt information when the import fails.
In the present application, the user terminal is preferably an operation terminal of a supplier, and may be a mobile terminal, a personal computer, and other electronic devices having a data processing function. Preferably, in the actual application process, each user terminal can register an account uniquely bound with the user terminal, and login is completed by inputting the account or an identification information identification mode (such as face identification, fingerprint identification and the like), so that commodity parameters are input.
In the present application, the commodity type parameter refers to a parameter reflecting the commodity attribute, and may be any one or more of a commodity model, a commodity size, a commodity brand, a commodity weight, a commodity list, and a commodity after-sales service, for example. The commodity price parameter refers to the commodity price, and the input commodity price parameter is the quotation of the product bid by the supplier for the supplier on the system platform. The standard commodity price parameter refers to a reference price corresponding to each commodity stored in the commodity database. The commodity database is a database storing standard commodity parameters corresponding to each commodity, and the standard commodity parameters in the commodity database are not invariable and can be adjusted after calculation according to the collected data of each commodity in real time.
The method can be used in the field of commodity bidding, and particularly can be used for checking the reasonability of commodity offers provided by suppliers. Taking government procurement bidding as an example, a government procurement party firstly bids information on a system platform through a terminal (hereinafter referred to as a government terminal) of the government procurement party, wherein the bidding information comprises the type and the quantity of required commodities, bidding deadline and the like. After logging in a system platform, a user terminal (a supplier terminal) can perform bidding after seeing bidding information issued by a government terminal, and particularly, after clicking a bidding button, the system can input commodity parameters. After receiving the commodity type parameters and the commodity price parameters input by the user terminal, the system platform acquires standard commodity price parameters corresponding to the commodities with the same current input commodity type parameters from a commodity database, judges whether the error between the input commodity price parameters and the standard commodity price parameters is within a preset error range, imports the input commodity parameters if the error is within the preset error range, completes the quotation of the supplier, puts on the shelf and displays commodity information, and sends the quotation information to a government terminal for selection; if not, the import fails, and prompt information is sent out, and the prompt information can be used for prompting the user terminal that the quotation is unreasonable and inputting the quotation again. By the scheme, online bidding can be completed, price limit is performed on commodity prices provided by suppliers, and when obvious unreasonable high prices occur, a system platform can directly limit the suppliers to release quotes, so that benefits of buyers are effectively maintained.
In order to ensure the fairness of bid inviting, the user terminals cannot see the quotation information released by other people, namely the information after successful quotation is not sent out except that the information is received by the government terminal. And the government terminal can check and see all bidding information only after the bidding deadline is reached, namely commodity information which is put on shelf and displayed is disclosed to the inside of the government terminal only after the bidding deadline, so that the possibility of manual operation in the government terminal can be effectively avoided, and the fairness of bidding is further ensured.
In order to avoid that the user terminal repeatedly inputs unreasonable offers in an exhaustive manner, for example, the standard price parameter of a certain type of goods stored in the current goods database is 500 yuan, the goods price parameter input by the user terminal for the first time is 600 yuan, the system can input 599, 598, 597 … and the like until the offer condition is met after sending out prompt information, in order to avoid the occurrence of the phenomenon, the system platform also limits the offer times of each user terminal according to the same offer information, namely the number of inputting the goods parameter for the same type of goods user terminal is limited, for example, 3 times or 5 times (the number is only an example, and in other application scenes, other numbers can be set), when the number of inputting the goods parameter by the user terminal reaches the preset number and still forms an effective goods price parameter, namely, the goods price parameter input by the user terminal each time is far higher than the standard goods price parameter recorded in the goods database, and the system can be used for avoiding the repeated input unreasonable offers according to the preset number and still forms an effective goods price parameter, namely, the goods price parameter input by the user terminal every time is far higher than the standard price parameter input by the user terminal is far higher than the standard price parameter recorded in the goods database And if the parameters are the parameters, the user terminal is limited to continue inputting the commodity price parameter quotation authority, and the corresponding supplier automatically loses the quotation qualification, so that the bidding can be more fair.
As an alternative embodiment, as shown in fig. 2, the method of the present application includes:
firstly, step S201 is entered, a preset identification code is respectively calculated for each commodity in a commodity database based on commodity type parameters, and the preset identification code and corresponding commodity price parameters are stored in the commodity database;
then, step S202 is carried out, an identification code is calculated based on the commodity type parameter input by the user terminal, a commodity price parameter corresponding to a preset identification code matched with the calculated identification code is obtained from a commodity database, and whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range or not is judged.
The reference price of the commodity can be directly influenced by the difference of specifications, brands and quantities of different commodities, and the reference price recorded in the commodity database is more meaningful only when the parameters of the specifications, the brands, the quantities and the like of the commodity are consistent, so that the method calculates a preset identification code based on the type parameters of each commodity, calculates an identification code based on the commodity type parameters input by the user terminal when obtaining the reference price, and then obtains the reference price from the commodity database based on the calculated identification code, thereby ensuring that the obtained reference price strictly corresponds to the commodity corresponding to the commodity type parameters input by the user, and improving the accuracy of reference quotation comparison.
Preferably, the commodity type parameters comprise commodity model number and/or commodity size and/or commodity brand and/or commodity weight; the identification code is obtained by performing hash operation on each commodity type parameter corresponding to the commodity. In the specific calculation process, for the indexes which cannot be quantified in the commodity type parameters, such as commodity models, commodity brands and the like, the system platform can generate numerical data which are uniquely matched and correspond to the indexes, hash calculation is carried out on the numerical data to obtain a hash value, and the hash value obtained through calculation is used as a preset identification code of the commodity, so that the comparability of the reference price is guaranteed.
In order to improve the accuracy of the standard commodity price parameter, as an optional embodiment, in the present application, the commodity price parameter corresponding to the commodity in the commodity database is obtained based on the following manner: and acquiring commodity price parameters corresponding to commodities with the same commodity type parameters from a plurality of shopping platforms in real time, screening out the commodity price parameters with deviation larger than a threshold value from a preset reference value, carrying out weighted average on the rest commodity price parameters, and taking the calculation result as the commodity price parameters corresponding to the commodities. The standard commodity price parameters are obtained by weighted average of data acquired from a plurality of shopping platforms within a period of time, and prices with larger deviation are filtered out in calculation, so that the standard commodity price parameters stored in the commodity database are more accurate and have more reference significance. Certainly, in other embodiments, the original data for calculating the standard commodity price parameter may be obtained from the shopping platform, and may be combined with the geographic location information of the current user terminal to obtain, from the historical database, the price information of the commodity in the historical trading orders of the merchants in the area where the geographic location information is located as a reference for calculation, so that the commodity reference offers in different areas may be effectively distinguished, and the accuracy of reference offer calculation is further improved.
As an alternative embodiment, the obtaining, in real time, the commodity price parameters corresponding to the commodities with the same commodity type parameter from the plurality of shopping platforms includes: and monitoring the commodity price parameter change corresponding to the commodities with the same commodity type parameters on each shopping platform based on the time dimension information, and recording the change timestamp information and the commodity price parameters before and after the change. The standard price parameters can be obtained by calculation according to the change timestamp information and the commodity price parameters before and after the change, specifically, a larger weight value can be set for the price change closer to the current time, and a smaller weight value can be set for the price change farther from the current time, so that the latest market quotation is always referred to by the calculated standard commodity price parameters, and the representativeness and the accuracy of the standard commodity price parameters are improved.
As an alternative embodiment, the obtaining, in real time, the commodity price parameters corresponding to the commodities with the same type of parameters from the plurality of shopping platforms includes: and judging whether the timestamp information of the acquired commodity price parameters meets the preset date condition, if so, automatically ignoring the acquired commodity price parameters, and not listing the acquired commodity price parameters in the numerical calculation of the commodity price parameters. When shopping holidays come every year, such as 618 holidays or double 11 holidays, commodity prices are often far lower than daily commodity offers, if the price parameters are introduced for calculation, the accuracy of standard commodity price parameters is affected, therefore, when the system platform captures data of each shopping platform website, the obtained time can be judged, when the preset date is met, the data collection of the date is automatically skipped, and the accuracy of the standard commodity parameters can be ensured while the calculation data amount is simplified.
As an alternative embodiment, the prompt message includes one or more of an audio prompt message, an image prompt message, a light prompt message, and a video prompt message. The prompt information is used for prompting that the commodity price parameter input by the user terminal at present is unreasonable and prompting the user terminal to input again, and can be specifically realized in the modes of voice, image, video, light sensation, vibration and the like.
As an alternative embodiment, the commodity parameters collected from different shopping platforms are subjected to standardized conversion, so that the arrangement of the commodity type parameters and the commodity price parameters conforms to a preset format. In the application, the acquired parameters can be classified by adopting a similarity algorithm and arranged according to a preset format, so that the subsequent data management is facilitated. For example, a tag dictionary base can be established for standard parameter items and parameter values by adopting a mode of combining word2 vec-based semantic similarity calculation and tag semantic similarity calculation, and parameters with similarity higher than 95% are automatically classified, such as automatically classifying the CPU type into the CPU classification.
Taking a commodity as an example of printing paper, when the collected commodity type parameter is "specification 10 packs (5000 sheets)", the format is converted into "pack number: 10 bags; number of sheets per package: 500 pieces/packet ", and the converted format is transferred and written according to the following format and then stored, so as to be convenient for calling and obtaining at any time.
TABLE 1 printed paper Commodity parameters
In a second aspect, the present application provides a storage medium storing a computer program which, when executed by a processor, implements the method steps of any one of the above-described solutions.
Storage media includes both computer storage media and communication media including any medium that can be enabled to transfer a computer program from one place to another. A storage media may be any available media that can be accessed by a computer. By way of example, and not limitation, non-transitory media may include RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium that may be used to store desired program code in the form of instructions or data structures and that may be accessed by a computer. Also, any connection is properly termed a computer-readable medium. Disk and disc, as used herein, includes Compact Disc (CD), laser disc, optical disc, Digital Versatile Disc (DVD), floppy disk and blu-ray disc where disks usually reproduce data magnetically, while discs reproduce data optically with lasers. Combinations of the above should also be included within the scope of computer-readable media. Additionally, the operations of a method or algorithm may reside as any one or any combination or set of codes and instructions on a machine-readable medium or computer-readable medium, which may be incorporated into a computer program product.
The processor includes a general purpose single-or multi-chip processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general purpose processor may be a microprocessor or any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration. In some implementations, certain processes and methods may be performed by circuitry that is specific to a given function.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or terminal that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or terminal. Without further limitation, elements identified by the phrases "comprising … …" or "comprising … …" do not exclude the presence of additional elements in the process, method, article, or terminal that comprises the element. Further, herein, "greater than," "less than," "more than," and the like are understood to exclude the present numbers; the terms "above", "below", "within" and the like are to be understood as including the number.
As will be appreciated by one skilled in the art, the above-described embodiments may be provided as a method, apparatus, or computer program product. These embodiments may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. All or part of the steps of the methods related to the above embodiments may be implemented by a program instructing related hardware, and the program may be stored in a storage medium readable by a computer device and used for executing all or part of the steps of the methods related to the above embodiments. Computer devices including, but not limited to: personal computers, servers, general-purpose computers, special-purpose computers, network devices, embedded devices, programmable devices, intelligent mobile terminals, intelligent home devices, wearable intelligent devices, vehicle-mounted intelligent devices, and the like; including but not limited to: RAM, ROM, magnetic disk, magnetic tape, optical disk, flash memory, U disk, removable hard disk, memory card, memory stick, network server storage, network cloud storage, etc.
The various embodiments described above are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a computer apparatus to produce a machine, such that the instructions, which execute via the processor of the computer apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer device to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer apparatus to cause a series of operational steps to be performed on the computer apparatus to produce a computer implemented process such that the instructions which execute on the computer apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the embodiments have been described, once the basic inventive concept is obtained, other variations and modifications of these embodiments can be made by those skilled in the art, so that these embodiments are only examples of the present invention, and not intended to limit the scope of the present invention, and all equivalent structures or equivalent processes that can be used in the present specification and drawings, or used directly or indirectly in other related fields are encompassed by the present invention.
Claims (10)
1. A method for commodity price parameter verification, the method comprising the steps of:
s1: receiving commodity parameters input by a user terminal; the commodity parameters comprise commodity type parameters and commodity price parameters;
s2: acquiring a standard commodity price parameter corresponding to a commodity with the same type parameter as the currently input commodity from a commodity database, and judging whether the error between the input commodity price parameter and the standard commodity price parameter is within a preset error range;
if the determination at step S2 is yes, step S3 is executed: importing the input commodity parameters;
if the step S2 determines not to be the case, execute step S4: and sending out prompt information when the import fails.
2. The method of item price parameter verification according to claim 1, wherein the method comprises:
respectively calculating a preset identification code for each commodity in the commodity database based on the commodity type parameters, and storing the preset identification code and the corresponding commodity price parameters in the commodity database;
step S2 includes: calculating an identification code based on the commodity type parameters input by the user terminal, acquiring commodity price parameters corresponding to preset identification codes matched with the calculated identification codes from the commodity database, and judging whether the error between the input commodity price parameters and the standard commodity price parameters is within a preset error range.
3. A method of item price parameter verification according to claim 1 or 2, wherein the item type parameters include item model and/or item size and/or item brand and/or item weight; the identification code is obtained by performing hash operation on each commodity type parameter corresponding to the commodity.
4. The method for commodity price parameter verification according to claim 1, wherein the commodity price parameter corresponding to the commodity in the commodity database is obtained based on:
and acquiring commodity price parameters corresponding to commodities with the same commodity type parameters from a plurality of shopping platforms in real time, screening out the commodity price parameters with deviation larger than a threshold value from a preset reference value, carrying out weighted average on the rest commodity price parameters, and taking the calculation result as the commodity price parameters corresponding to the commodities.
5. The method for commodity price parameter verification according to claim 1, wherein obtaining commodity price parameters corresponding to commodities having the same commodity type parameter in real time from a plurality of shopping platforms comprises:
and monitoring the commodity price parameter change corresponding to the commodities with the same commodity type parameters on each shopping platform based on the time dimension information, and recording the change timestamp information and the commodity price parameters before and after the change.
6. The method for commodity price parameter verification according to claim 4, wherein obtaining commodity price parameters corresponding to commodities having the same type of parameters in real time from a plurality of shopping platforms comprises:
and judging whether the timestamp information of the acquired commodity price parameters meets the preset date condition, if so, automatically ignoring the acquired commodity price parameters, and not listing the acquired commodity price parameters in the numerical calculation of the commodity price parameters.
7. The method for verifying commodity price parameters according to claim 1, further comprising, after the step S3: and putting on shelves and displaying commodity information.
8. The method for merchandise price parameter verification according to claim 1, wherein the prompt message comprises one or more of an audio prompt message, a visual prompt message, a light prompt message, and a video prompt message.
9. The method of item price parameter verification according to claim 4, wherein the method further comprises: and carrying out standardized conversion on the commodity parameters collected from different shopping platforms, so that the arrangement of the commodity type parameters and the commodity price parameters conforms to a preset format.
10. A storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, carries out the method steps of any one of claims 1 to 9.
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|---|---|---|---|---|
| CN116977003A (en) * | 2023-08-04 | 2023-10-31 | 上海百秋智尚网络服务有限公司 | Second killing price verification method and system |
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