CN112435087A - Part commodity searching method, device, equipment and storage medium - Google Patents
Part commodity searching method, device, equipment and storage medium Download PDFInfo
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Abstract
The application relates to a part commodity searching method, a device, equipment and a storage medium, wherein the method comprises the following steps: obtaining a model selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names; acquiring a part commodity information set from a storage area; the part commodity information set comprises supplier information and price information; determining a target supplier and a target price for each specification model of the plurality of specification models based on the part commodity information set; and generating a part commodity search record according to the target supplier and the target price of each specification model. Therefore, the efficiency and the precision of searching the part commodities can be improved, and the purchasing efficiency of purchasing personnel can be improved.
Description
Technical Field
The present application relates to the field of computer network data technologies, and in particular, to a method, an apparatus, a device, and a storage medium for searching for a part commodity.
Background
In an industrial internet purchasing platform, aiming at the conditions that the product types are complex and the specifications of multiple types of one product, great workload is brought to purchasing personnel to search the product. For example, a part is standardized in dimensions of length, width, height, color, precision, etc., there may be hundreds of thousands of product specifications, and a buyer needs to purchase, search and quote hundreds of products and parts with different specifications at a time. The currently common product searching methods mainly include the following methods:
generally, the internet e-commerce platform searches for products basically based on input keywords of a product, wherein the keywords comprise the name or model of the product; if only one product name is input, if the product is a part, a large batch of parts with different specifications can be obtained, so that the searching can be carried out only in a mode of product name plus specification, and when hundreds of products with different specifications need to be purchased at one time, hundreds of keywords with different product names plus specifications need to be input for searching, and different suppliers with different specifications are screened out for quotation; the searching mode is time-consuming and labor-consuming, the efficiency and the accuracy are not high, and a large amount of manpower and material resources are consumed for one-time purchase.
Disclosure of Invention
The embodiment of the application provides a part commodity searching method, a part commodity searching device and a storage medium, which can improve the part commodity searching efficiency and precision and can improve the purchasing efficiency of purchasing personnel.
In one aspect, an embodiment of the present application provides a part commodity search method, including: obtaining a model selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names; acquiring a part commodity information set from a storage area; the part commodity information set comprises supplier information and price information; determining a target supplier and a target price for each specification model of the plurality of specification models based on the part commodity information set; and generating a part commodity search record according to the target supplier and the target price of each specification model.
Optionally, the part commodity information set further includes part commodity name information, specification model information, and a correspondence between the part commodity name information, the specification model information, the supplier information, and the price information; determining a target supplier and a target price for each of a plurality of specification models based on the part commodity information set, including: determining a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relation based on the commodity name and each specification model of each part; the plurality of quasi-target suppliers correspond to the plurality of quasi-target prices one by one; and determining a target supplier and a target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules.
Optionally, the supplier information includes an inventory amount of each quasi-target supplier in the plurality of quasi-target suppliers for each specification model; according to the acquired preset rule, determining a target supplier and a target price from a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model, wherein the method comprises the following steps: sequencing the plurality of quasi-target suppliers according to the inventory quantity of each quasi-target supplier aiming at each specification model; determining a target supplier from a plurality of quasi-target suppliers according to the sequencing result; and determining the quasi-target price corresponding to the target supplier as the target price.
Optionally, the preset rule includes an optimal ranking list of the suppliers; according to the acquired preset rule, determining a target supplier and a target price from a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model, wherein the method comprises the following steps: if the fact that the quasi-target suppliers in the best supplier ranking list exist in the plurality of quasi-target suppliers is determined, the quasi-target suppliers are determined to be target suppliers; and determining the quasi-target price corresponding to the target supplier as the target price.
Optionally, according to the obtained preset rule, determining a target supplier and a target price from a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification and model includes: determining an average of a plurality of quasi-target prices; determining the quasi-target price with the value less than or equal to the average value as a target price; and determining the quasi-target supplier corresponding to the target price as the target supplier.
Optionally, after generating the part commodity search record according to the target supplier and the target price of each specification model, the method further includes: generating a price inquiry list based on the part commodity search records; the invoice is for delivery to the supplier for confirmation.
On the other hand, the embodiment of the present application further provides a part commodity search device, including: the first acquisition module is used for acquiring the type selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names; the second acquisition module is used for acquiring the part commodity information set from the storage area; the part commodity information set comprises supplier information and price information; a determination module for determining a target supplier and a target price for each specification model of the plurality of specification models based on the part commodity information set; and the generating module is used for generating a part commodity searching record according to the target supplier and the target price of each specification model.
Optionally, the part commodity information set further includes part commodity name information, specification model information, and a correspondence between the part commodity name information, the specification model information, the supplier information, and the price information; the determining module is further used for determining a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relation based on the commodity name of each part and each specification model; the plurality of quasi-target suppliers correspond to the plurality of quasi-target prices one by one; and determining a target supplier and a target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules.
On the other hand, the embodiment of the present application further provides an apparatus, where the apparatus includes a processor and a memory, where the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executes the above-mentioned part commodity search method.
On the other hand, the embodiment of the present application further provides a computer storage medium, where at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the above-mentioned part commodity search method.
The part commodity searching method, the device, the equipment and the storage medium provided by the embodiment of the application have the following beneficial effects:
obtaining a type selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names; acquiring a part commodity information set from a storage area; the part commodity information set comprises supplier information and price information; determining a target supplier and a target price for each specification model of the plurality of specification models based on the part commodity information set; and generating a part commodity search record according to the target supplier and the target price of each specification model. Therefore, the efficiency and the precision of searching the part commodities can be improved, and the purchasing efficiency of purchasing personnel can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of an application scenario provided in an embodiment of the present application;
fig. 2 is a schematic flowchart of a part commodity searching method according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of a part commodity searching device according to an embodiment of the present application;
fig. 4 is a block diagram of a hardware structure of a server of a method for searching for a part commodity according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, 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 application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application 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 application 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 server 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 part commodity searching method provided by the embodiment of the application can be applied to a part commodity transaction platform of a buyer and a supplier in an industrial internet, please refer to fig. 1, and fig. 1 is a schematic diagram of an application scenario provided by the embodiment of the application, and the part commodity searching method comprises a background server 101 and a front-end display device 102 of the part commodity transaction platform, wherein the supplier can issue own part commodity information and processing information on the part commodity transaction platform, and the buyer can perform batch searching and type selection on part commodities according to own needs and complete price inquiry and purchase.
Specifically, the server 101 obtains a selection list provided by the buyer; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names; secondly, the server 101 acquires the part commodity information set from the storage area; the part commodity information set comprises supplier information and price information, and is generated by the server 101 according to respective part commodity information and processing information issued by different suppliers and stored in the storage area; secondly, the server 101 determines a target supplier and a target price of each specification model of the plurality of specification models based on the part commodity information set; finally, the server 101 generates a parts commodity search record based on the target supplier and the target price for each specification model, and provides the part commodity search record to the buyer.
The following describes a specific embodiment of a part commodity searching method according to the present application, and fig. 2 is a schematic flow chart of the part commodity searching method according to the embodiment of the present application, and the present specification provides the method operation steps according to the embodiment or the flow chart, but more or fewer operation steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In practice, the system or server product may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environment) according to the embodiments or methods shown in the figures. Specifically, as shown in fig. 2, the method may include:
s201: obtaining a model selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names.
In the embodiment of the application, the buyer can enter the model selection list in the modes of EXCEL form or copy and the like, the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names, and the model selection list can sequentially enter the information related to several to thousands of part commodities.
S203: acquiring a part commodity information set from a storage area; the parts and merchandise information set includes supplier information and price information.
In the embodiment of the present application, the component commodity information set includes supplier information and price information, both the supplier information and the price information are from different suppliers, and are generated by the component commodity transaction platform server according to respective component commodity information and processing information issued by different suppliers and stored in a storage area, where the storage area refers to a Read Only Memory (ROM) and a Random Access Memory (RAM) memory.
S205: a target supplier and a target price for each of the plurality of specification models is determined based on the part commodity information set.
In the embodiment of the application, after the server acquires the option list, the server acquires the part commodity information set from the storage area, and then intelligently analyzes and sorts the part commodity information set according to the multiple part commodity names in the option list and the multiple specification models corresponding to each part commodity name in the multiple part commodity names; namely, the part commodity information of all suppliers on the platform is automatically matched according to the specification model and the part commodity name, the information in the part commodity information set can be coded according to the specification model of each supplier, and the coding rule sets information such as a replacement model, a price system, inventory and delivery time, the region where the supplier is located and the like so as to carry out intelligent recommendation and optimization.
In an optional embodiment, the component commodity information set further includes component commodity name information, specification model information, and a correspondence between the component commodity name information, the specification model information, the supplier information, and the price information; for example, the part commodity information collection part is shown in table 1 below, a part is named as a0098, the specification model is W100-500H 300, the supplier information includes supplier a, supplier B and supplier C, and the corresponding price information includes price1, price2 and price 3;
table 1: parts and merchandise information collection
Correspondingly, an optional embodiment of determining a target supplier and a target price for each specification model of a plurality of specification models based on the component commodity information set includes:
determining a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relation based on the commodity name and each specification model of each part; the plurality of quasi-target suppliers correspond to the plurality of quasi-target prices one by one; and determining a target supplier and a target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules. For example, as shown in table 1 above, supplier a, supplier B, and supplier C are quasi-suppliers, and their respective corresponding price1, price2, and price3 are quasi-target prices.
In one specific embodiment, the supplier information further includes an inventory quantity for each specification model of each of the plurality of quasi-target suppliers; for example, table 1 above can be refined as table 2 below:
table 2: parts and merchandise information collection
The step of determining the target supplier and the target price from the plurality of quasi-target suppliers and the plurality of quasi-target prices of each specification model according to the obtained preset rule may include:
sequencing the plurality of quasi-target suppliers according to the inventory quantity of each quasi-target supplier aiming at each specification model; determining a target supplier from a plurality of quasi-target suppliers according to the sequencing result; and determining the quasi-target price corresponding to the target supplier as the target price. For example, as shown in table 2 above, assuming that the inventory number y > x > z, the ordering results are that supplier B, supplier a, and supplier C determine n top-ranked bits (n is set according to actual conditions, where n is 2) as target suppliers, that is, supplier B and supplier a are target suppliers, and price2 corresponding to supplier B and price1 corresponding to supplier a are target prices.
Or, in another specific embodiment, the preset rule includes an optimal supplier ranking list; the step of determining the target supplier and the target price from the plurality of quasi-target suppliers and the plurality of quasi-target prices of each specification model according to the obtained preset rule may include:
if the fact that the quasi-target suppliers in the best supplier ranking list exist in the plurality of quasi-target suppliers is determined, the quasi-target suppliers are determined to be target suppliers; and determining the quasi-target price corresponding to the target supplier as the target price. For example, if vendor a is in the best vendor leaderboard, vendor a is determined to be the target vendor with its corresponding price1 being the target price.
Or, in another specific embodiment, the step of determining the target supplier and the target price from a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification and model according to the obtained preset rule may include:
determining an average of a plurality of quasi-target prices; determining the quasi-target price with the value less than or equal to the average value as a target price; and determining the quasi-target supplier corresponding to the target price as the target supplier. For example, the average value of the plurality of quasi-target prices price1, price2 and price3 is calculated to be avg price, and assuming that price1 and price2 are smaller than avg price, price1 and price2 are determined as target prices, and corresponding supplier B and supplier a are determined as target suppliers.
In another optional implementation, if it is determined from the correspondence that a quasi-target supplier and a quasi-target price of a certain specification and model do not exist based on the name of each part commodity and each specification and model, it is prompted that the supplier is not found in the current part commodity, and the supplier is requested to be manually searched and selected.
S207: and generating a part commodity search record according to the target supplier and the target price of each specification model.
In the embodiment of the application, the server generates part commodity search records according to the target supplier and the target price of each specification model, and provides the part commodity search records to the buyer; on the basis of the part commodity searching record, information such as project names, item numbers, type selection dates and the like can be added according to data provided by a buyer, and the information is stored as a part purchasing type selection list for the buyer to export, print or reselect, so that searching and type selection of a plurality of part commodities are realized. Therefore, the type selection efficiency of the parts can be greatly improved, a great deal of effort is needed in the past, and the parts can be searched, screened and matched only by one key.
In the embodiment of the application, the part commodity search record can be further combined with the supplier supply condition to further derive the model selection BOM list data of the generated parts.
In an optional embodiment, after generating the part commodity search record according to the target supplier and the target price of each specification model, the method further includes:
generating a price inquiry list based on the part commodity search records; the invoice is for delivery to the supplier for confirmation.
In the embodiment of the application, part of parameters can be adjusted according to the part commodity search record, and the model selection search is performed again to obtain supplier information and quotation information of a new batch of part commodities.
An embodiment of the present application further provides a component commodity search device, and fig. 3 is a schematic structural diagram of the component commodity search device provided in the embodiment of the present application, and as shown in fig. 3, the device includes:
a first obtaining module 301, configured to obtain a model selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names;
a second obtaining module 302, configured to obtain a part commodity information set from a storage area; the part commodity information set comprises supplier information and price information;
a determining module 303, configured to determine a target supplier and a target price for each specification model of the multiple specification models based on the component commodity information set;
and the generating module 304 is used for generating a part commodity search record according to the target supplier and the target price of each specification model.
In an optional embodiment, the component commodity information set further includes component commodity name information, specification model information, and a correspondence between the component commodity name information, the specification model information, the supplier information, and the price information; the determining module 303 is specifically configured to:
determining a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relation based on the commodity name and each specification model of each part; the plurality of quasi-target suppliers correspond to the plurality of quasi-target prices one by one; and determining a target supplier and a target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules.
In an alternative embodiment, the supplier information includes an inventory quantity for each specification model for each of the plurality of quasi-target suppliers; the determining module 303 is specifically configured to:
sequencing the plurality of quasi-target suppliers according to the inventory quantity of each quasi-target supplier aiming at each specification model; determining a target supplier from a plurality of quasi-target suppliers according to the sequencing result; and determining the quasi-target price corresponding to the target supplier as the target price.
In an optional embodiment, the preset rule includes a best supplier ranking list; the determining module 303 is specifically configured to:
if the fact that the quasi-target suppliers in the best supplier ranking list exist in the plurality of quasi-target suppliers is determined, the quasi-target suppliers are determined to be target suppliers; and determining the quasi-target price corresponding to the target supplier as the target price.
In an optional implementation manner, according to the obtained preset rule, the determining module 303 is specifically configured to:
determining an average of a plurality of quasi-target prices; determining the quasi-target price with the value less than or equal to the average value as a target price; and determining the quasi-target supplier corresponding to the target price as the target supplier.
In an optional implementation, the generating module 304 is specifically configured to:
generating a price inquiry list based on the part commodity search records; the invoice is for delivery to the supplier for confirmation.
The device and method embodiments in the embodiments of the present application are based on the same application concept.
The method provided by the embodiment of the application can be executed in a computer terminal, a server or a similar operation device. Taking the example of running on a server, fig. 4 is a hardware structure block diagram of the server of the part commodity search method provided in the embodiment of the present application. As shown in fig. 4, the server 400 may have a relatively large difference due to different configurations or performances, and may include one or more Central Processing Units (CPUs) 410 (the processors 410 may include but are not limited to a Processing device such as a microprocessor NCU or a programmable logic device FPGA), a memory 430 for storing data, and one or more storage media 420 (e.g., one or more mass storage devices) for storing applications 423 or data 422. Memory 430 and storage medium 420 may be, among other things, transient or persistent storage. The program stored on the storage medium 420 may include one or more modules, each of which may include a series of instruction operations on a server. Further, the central processor 410 may be configured to communicate with the storage medium 420, and execute a series of instruction operations in the storage medium 420 on the server 400. The server 400 may also include one or more power supplies 460, one or more wired or wireless network interfaces 450, one or more input-output interfaces 440, and/or one or more operating systems 421, such as Windows, Mac OS, Unix, Linux, FreeBSD, etc.
The input/output interface 440 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the server 400. In one example, the input/output Interface 440 includes a Network adapter (NIC) that can be connected to other Network devices through a base station to communicate with the internet. In one example, the input/output interface 440 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
It will be understood by those skilled in the art that the structure shown in fig. 4 is only an illustration and is not intended to limit the structure of the electronic device. For example, server 400 may also include more or fewer components than shown in FIG. 4, or have a different configuration than shown in FIG. 4.
The embodiment of the application also provides a computer storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by the processor to realize the part commodity searching method.
Alternatively, in this embodiment, the storage medium may be located in at least one network server of a plurality of network servers of a computer network. Optionally, in this embodiment, the storage medium may include, but is not limited to: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
It should be noted that: the sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And specific embodiments thereof have been described above. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus embodiment, since it is substantially similar to the method embodiment, the description is relatively simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. A part commodity searching method is characterized by comprising the following steps:
obtaining a model selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names;
acquiring a part commodity information set from a storage area; the part commodity information set comprises supplier information and price information;
determining a target supplier and a target price for each of the plurality of specification models based on the part commodity information set;
and generating a part commodity search record according to the target supplier and the target price of each specification model.
2. The method according to claim 1, wherein the parts commodity information set further includes parts commodity name information, specification model information, and a correspondence relationship between the parts commodity name information, the specification model information, the supplier information, and the price information;
the determining a target supplier and a target price for each of the plurality of specification models based on the set of part commodity information includes:
determining a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relation based on the commodity name of each part and each specification model; the plurality of quasi-target suppliers and the plurality of quasi-target prices are in one-to-one correspondence;
and determining the target supplier and the target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules.
3. The method of claim 2, wherein the supplier information comprises an inventory quantity for each specification model of each of the plurality of quasi-target suppliers;
the determining the target supplier and the target price from the plurality of quasi-target suppliers and the plurality of quasi-target prices of each specification model according to the obtained preset rule comprises:
sorting the plurality of quasi-target suppliers according to the inventory quantity of each quasi-target supplier for each specification model;
determining the target supplier from the plurality of quasi-target suppliers according to the sequencing result;
and determining a quasi-target price corresponding to the target supplier as the target price.
4. The method of claim 2, wherein the preset rules include a best vendor leaderboard;
the determining the target supplier and the target price from the plurality of quasi-target suppliers and the plurality of quasi-target prices of each specification model according to the obtained preset rule comprises:
determining the quasi-target provider as the target provider if it is determined that the quasi-target provider in the optimal provider leaderboard exists among the plurality of quasi-target providers;
and determining a quasi-target price corresponding to the target supplier as the target price.
5. The method according to claim 2, wherein the determining the target supplier and the target price from a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model according to the obtained preset rule comprises:
determining an average of the plurality of quasi-target prices;
determining a quasi-target price with a value less than or equal to the average value as the target price;
and determining the quasi-target supplier corresponding to the target price as the target supplier.
6. The method of claim 1, wherein after generating the part commodity search record according to the target supplier and the target price of each specification model, the method further comprises:
generating a price inquiry list based on the part commodity search records; the invoice is for delivery to the supplier for confirmation.
7. A parts commodity search device, comprising:
the first acquisition module is used for acquiring the type selection list; the model selection list comprises a plurality of part commodity names and a plurality of specification models corresponding to each part commodity name in the part commodity names;
the second acquisition module is used for acquiring the part commodity information set from the storage area; the part commodity information set comprises supplier information and price information;
a determination module for determining a target supplier and a target price for each of the plurality of specification models based on the parts commodity information set;
and the generating module is used for generating a part commodity searching record according to the target supplier and the target price of each specification model.
8. The apparatus according to claim 7, wherein the parts commodity information set further includes parts commodity name information, specification model information, and a correspondence relationship between the parts commodity name information, the specification model information, the supplier information, and the price information;
the determining module is further configured to determine, based on the commodity name of each component and each specification model, a plurality of quasi-target suppliers and a plurality of quasi-target prices of each specification model from the corresponding relationship; the plurality of quasi-target suppliers and the plurality of quasi-target prices are in one-to-one correspondence; and determining the target supplier and the target price from a plurality of quasi-target suppliers and quasi-target prices of each specification model based on the acquired preset rules.
9. An apparatus comprising a processor and a memory, wherein the memory stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded by the processor and executes the part commodity search method according to any one of claims 1 to 6.
10. A computer storage medium, wherein at least one instruction or at least one program is stored in the storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement the part commodity search method according to any one of claims 1 to 6.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011220559.7A CN112435087A (en) | 2020-11-05 | 2020-11-05 | Part commodity searching method, device, equipment and storage medium |
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| CN202011220559.7A CN112435087A (en) | 2020-11-05 | 2020-11-05 | Part commodity searching method, device, equipment and storage medium |
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| CN112435087A true CN112435087A (en) | 2021-03-02 |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592526A (en) * | 2021-06-18 | 2021-11-02 | 青岛海尔科技有限公司 | Price updating method and device, storage medium and electronic device |
| CN113591405A (en) * | 2021-10-08 | 2021-11-02 | 深圳市信润富联数字科技有限公司 | Part purchasing method, device, equipment and computer readable storage medium |
| CN115545853A (en) * | 2022-12-02 | 2022-12-30 | 云筑信息科技(成都)有限公司 | Searching method for searching suppliers |
-
2020
- 2020-11-05 CN CN202011220559.7A patent/CN112435087A/en not_active Withdrawn
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113592526A (en) * | 2021-06-18 | 2021-11-02 | 青岛海尔科技有限公司 | Price updating method and device, storage medium and electronic device |
| CN113591405A (en) * | 2021-10-08 | 2021-11-02 | 深圳市信润富联数字科技有限公司 | Part purchasing method, device, equipment and computer readable storage medium |
| CN115545853A (en) * | 2022-12-02 | 2022-12-30 | 云筑信息科技(成都)有限公司 | Searching method for searching suppliers |
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Application publication date: 20210302 |