Purchase quotation management system and method, computer equipment and storage medium

Abstract

The invention discloses a purchase quotation management system and method, computer equipment and a storage medium, and relates to the field of computer information, the purchase quotation management system comprises a demand side interaction module, an intelligent recommendation module, a supplier management module and an approval tracking module, the acquisition module is used for acquiring purchase demand information and supplier information, and the supplier information comprises supplier quotation; the intelligent recommendation module is used for selecting the supplier information based on an intelligent algorithm according to the purchasing demand information, and outputting a target supplier and a corresponding target price interval; the supplier management module is used for outputting a purchase order based on a target supplier; and the approval tracking module is used for tracking the purchase order. Through the mode, intelligent automatic screening and quotation management of suppliers can be realized, and the efficiency is improved.

Description

Technical Field

[0001] This invention relates to the field of computer information technology, and in particular to a procurement quotation management system, method, computer equipment, and storage medium. Background Technology

[0002] A Procurement Quotation Management System (PQMS) is a software system specifically designed to manage the supplier quotation process in a company's procurement process. It aims to digitize, automate, and standardize the previously cumbersome, manual, and error-prone paper-based or Excel-based quotation management process, thereby improving efficiency, reducing costs, enhancing transparency, and optimizing supplier management.

[0003] Traditional procurement quotation management relies heavily on manual operations, which suffers from inefficiency and subjective decision-making risks. The requesting party must manually compile technical documents, drawings, and other materials, and communicate with suppliers via email or forms, making the process cumbersome. Supplier selection depends on human experience, is easily influenced by subjective factors, and lacks objective evaluation standards. Summary of the Invention

[0004] The main technical problem solved by this invention is to provide a procurement quotation management system, method, computer equipment and storage medium that can improve the intelligent automatic screening and quotation management of suppliers and improve efficiency.

[0005] To address the aforementioned technical problems, the present invention provides a procurement quotation management system, comprising a demand-side interaction module, an intelligent recommendation module, a supplier management module, and an approval tracking module. The demand-side interaction module is used to acquire procurement demand information and supplier information, including supplier quotations. The intelligent recommendation module is used to select suppliers based on the procurement demand information using an intelligent algorithm, and output target suppliers and their corresponding target price ranges. The supplier management module is used to output purchase orders based on the target suppliers. The approval tracking module is used to track purchase orders.

[0006] In one possible implementation, the system also includes a quotation data comparison module, which is used to compare and analyze supplier information and generate visual charts.

[0007] In one possible implementation, an intelligent recommendation module is used to determine supplier recommendation indicators and adjust the weights of these indicators using historical recommendation data and intelligent algorithms; based on the supplier recommendation indicators and their corresponding weights, target suppliers are determined.

[0008] In one possible implementation, the intelligent recommendation module is also used to set timeliness constraints and performance evaluation mechanisms; and to conduct quality assessments on purchase orders based on these mechanisms.

[0009] To address the aforementioned technical problems, another technical solution adopted by this invention is a procurement quotation management method, applied to the aforementioned quotation management system. This procurement quotation management method includes: acquiring procurement demand information and supplier information, wherein the supplier information includes supplier quotations; selecting supplier information based on the procurement demand information using an intelligent algorithm, and outputting target suppliers and corresponding target price ranges; outputting purchase orders based on the target suppliers, and tracking the purchase orders.

[0010] In one possible implementation, supplier information is selected based on procurement demand information and intelligent algorithms, including: determining supplier recommendation indicators and adjusting the weights of supplier recommendation indicators using historical recommendation data and intelligent algorithms; and determining target suppliers based on supplier recommendation indicators and their corresponding weights.

[0011] In one possible implementation, the procurement quotation management method further includes: setting up a time constraint mechanism and a performance evaluation mechanism; and conducting quality assessments of procurement orders based on the time constraint mechanism and the performance evaluation mechanism.

[0012] In one possible implementation, the quality of purchase orders is assessed based on a timeliness constraint mechanism and a performance evaluation mechanism, including: determining whether a purchase order is overdue based on the timeliness constraint mechanism and recording the cumulative number of overdue orders for the corresponding target supplier; when the cumulative number of overdue orders for the target supplier exceeds the preset number of overdue orders, the target supplier's bidding qualification is cancelled.

[0013] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is to provide a computer device, which includes a memory and a processor, the memory and the processor being interconnected, the memory storing computer instructions, and the processor executing the above-mentioned procurement quotation management method by executing the computer instructions.

[0014] To solve the above-mentioned technical problems, another technical solution adopted by the present invention is to provide a computer-readable storage medium for storing instruction / program data, which can be executed to implement the above-mentioned procurement quotation management method.

[0015] The beneficial effects of this invention are as follows: Unlike the prior art, this invention constructs an integrated procurement quotation management system. By automatically acquiring demand data and supplier data, it can reduce errors in manual review, utilize historical data and algorithm models to recommend the best suppliers, reduce human intervention, optimize supplier screening efficiency, improve decision-making objectivity, and significantly reduce the company's initial investment and long-term production costs. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of a procurement quotation management system according to an embodiment of this application;

[0017] Figure 2 This is a flowchart illustrating a procurement quotation management method according to an embodiment of this application;

[0018] Figure 3 This is a flowchart illustrating another procurement quotation management method in the embodiments of this application;

[0019] Figure 4 This is a schematic diagram of the structure of a computer-readable storage medium in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and effects of the present invention clearer and more explicit, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0021] This application provides a procurement quotation management system that can reduce errors in manual review by automatically acquiring demand data and supplier data, recommend the best suppliers by utilizing historical data and algorithm models, reduce human intervention, optimize supplier screening efficiency, improve decision-making objectivity, and significantly reduce the company's initial investment and long-term production costs.

[0022] Please see Figure 1 , Figure 1 This is a schematic diagram of a procurement quotation management system according to an embodiment of this application. The procurement quotation management system includes a demand-side interaction module 101, an intelligent recommendation module 102, a supplier management module 103, and an approval tracking module 104.

[0023] The demand-side interaction module 101 is used to obtain procurement demand information and supplier information, including supplier quotations.

[0024] In one implementation, the procurement requirements information includes technical requirements, material type requirements, process type requirements, and surface treatment method requirements.

[0025] The technical requirements include: 2D / 3D drawings, BOM quantities, and process requirements. Material type requirements include plastic parts and metal parts. Process type requirements include stamping and machining. Surface treatment requirements include electroplating and painting.

[0026] In one implementation, the supplier information includes supplier quotation information.

[0027] The supplier quotations include price information corresponding to various material types, process types, and surface treatment methods.

[0028] In another implementation, supplier information also includes the supplier's historical performance data.

[0029] The supplier's historical performance data includes the supplier's quality, delivery, service, and cooperation stability.

[0030] In one specific implementation, the demander fills in the procurement demand information in the demander interaction module 101.

[0031] Specifically, basic information about the requester is set as a mandatory question, allowing the requester to complete the basic information. The requester provides technical documents as technical requirements, and can select material type requirements, process type requirements, and surface treatment method requirements through drop-down menus.

[0032] The 3D drawings are in STP format, and the required timeframe is a minimum of 3 days and a maximum of 15 days.

[0033] Understandably, during the process of filling out the form, the system automatically verifies required fields; if any field is not filled in, the submission cannot be completed.

[0034] The intelligent recommendation module 102 is used to select supplier information based on procurement demand information and intelligent algorithms, and output the target supplier and the corresponding target price range.

[0035] The intelligent recommendation module 102 uses intelligent algorithms to evaluate the rationality of the quotations from multiple suppliers for the procurement needs, and recommends the best supplier and the corresponding price range.

[0036] In one implementation, supplier recommendation metrics are determined, and the weights of these metrics are adjusted using historical recommendation data and intelligent algorithms. Based on the supplier recommendation metrics and their corresponding weights, target suppliers are identified.

[0037] For example, supplier recommendation criteria include price, delivery time, and supplier performance.

[0038] In one specific implementation, the system automatically matches suppliers of the same type, opens up interfaces for new suppliers that have not yet been imported into the system, and allows the purchasing department to manually enter the supplier's basic information. After the purchasing department clicks to confirm, the system sends a quotation request via email and sets a time limit.

[0039] Among them, there are at least 3 suppliers of the same type by default. The basic information of the suppliers includes their names and contact information, and the time limit is 3 working days by default.

[0040] Supplier management module 103 is used to generate purchase orders based on target suppliers.

[0041] The intelligent recommendation module 102 is also used to set timeliness constraint mechanisms and performance evaluation mechanisms; and to conduct quality assessments on purchase orders based on the timeliness constraint mechanisms and performance evaluation mechanisms.

[0042] In one implementation, a time-sensitive constraint mechanism is used to determine whether a purchase order is overdue and to record the cumulative number of overdue orders for the corresponding target supplier. When the cumulative number of overdue orders for the target supplier exceeds the preset number of overdue orders, the target supplier's bidding qualification is cancelled.

[0043] For example, the preset number of overdue payments is 3.

[0044] In one specific implementation, a time-bound constraint mechanism is used to determine whether a purchase order is overdue. If there is no response after the deadline, the system automatically sends a reminder email and records the performance deduction, which is reflected in the supplier rating. If there are three consecutive overdue orders, the supplier will be disqualified from submitting new product quotations and entering the system code, and the monthly, quarterly and annual comprehensive evaluation of existing system suppliers will also be affected.

[0045] Approval tracking module 104 is used to track purchase orders.

[0046] One specific implementation supports multi-level approval processes, with approval results synchronized to the requesting party in real time. It provides procurement status tracking and closed-loop management of the entire process.

[0047] The multi-level approval process supports the following steps: applicant submission → superior approval → project confirmation.

[0048] In another implementation, the procurement quotation management system also includes a quotation data comparison module.

[0049] The quotation data comparison module is used to compare and analyze supplier information and generate visual charts.

[0050] For example, visualizations are generated based on information from multiple suppliers, with metrics showing price distribution and differences. These visualizations include pie charts, bar charts, line charts, etc.

[0051] In one specific example, the system submits procurement requirements, matches them with a supplier database, sends quotation requests to suppliers, sets time constraints, and determines whether suppliers respond on time. When a supplier responds on time, the system aggregates supplier quotations and provides AI approval; when a supplier fails to respond on time, an reminder email is sent, and performance points are deducted. The system accumulates overdue counts. If the overdue count exceeds a preset limit (more than 3 times), the supplier's eligibility is revoked, and their rating is updated. If the overdue count does not exceed the preset limit (no more than 3 times), the system returns to setting time constraints.

[0052] For example, obtain procurement requirements information, where the procurement requirement is a robot shell mold. Obtain quotation data from supplier A, supplier B, supplier C, and supplier D.

[0053] Among them, the unit price of supplier A's product is 87 yuan, and the price of the mold is 550,000 yuan; the unit price of supplier B's product is 90 yuan, and the price of the mold is 600,000 yuan; the unit price of supplier C's product is 110 yuan, and the price of the mold is 700,000 yuan; and the unit price of supplier D's product is 85 yuan, and the price of the mold is 500,000 yuan.

[0054] Furthermore, a bar chart is constructed to show the unit price of each supplier's product and the price of the mold, and the data differences between each supplier are compared and analyzed.

[0055] Furthermore, intelligent analysis and recommendations are made for suppliers A, B, C, and D.

[0056] Among them, supplier A, which has the lowest overall cost, is recommended.

[0057] Mold prices start from 500,000: initial investment costs are reduced by 20%-40%, significantly reducing financial pressure.

[0058] The lowest unit price is 85 yuan per piece: the production cost per piece is 2 yuan lower than that of Russia, 5 yuan lower than that of Japan, and 25 yuan lower than that of the United States.

[0059] Total cost advantage: Regardless of production volume, supplier A always has the lowest total cost.

[0060] Disadvantages of other suppliers:

[0061] Supplier B: The mold price and unit price are the highest, and the cost is far higher than other suppliers.

[0062] Supplier C: The mold price is 100,000 yuan higher than that of Supplier A, and the unit price is 5 yuan higher, so the cost performance is not good.

[0063] Supplier D: The mold price is 50,000 yuan higher than Supplier A, and the unit price is 2 yuan higher. It is not superior in either aspect.

[0064] Supplier A's reasons for recommendation:

[0065] Absolute cost advantage: Supplier A has the lowest costs in both initial investment and long-term production.

[0066] Large-scale production is advantageous: With mass production, the price difference per unit will further amplify the cost difference. For example, if 100,000 units are produced, supplier A will save 200,000 yuan compared to supplier D.

[0067] Supply chain stability: Supplier A has a mature manufacturing industry, and its delivery cycle and supporting services are usually more reliable.

[0068] Furthermore, when conducting an evaluation, it is necessary to perform quality verification, calculate hidden costs, and consider long-term cooperation.

[0069] Specifically, quality verification: It is necessary to confirm whether Supplier A's process standards meet the requirements, such as material durability and precision. Hidden costs: Cross-border transportation, tariffs, etc., are not reflected in the data and need to be included in the actual cost calculation. Long-term cooperation: If a long-term and stable cooperation is desired, it is recommended to conduct on-site inspections or request sample testing.

[0070] Taking all the above factors into consideration, we recommend choosing Supplier A, which has a comprehensive advantage in terms of cost and is suitable for those who seek cost-effectiveness and rapid production.

[0071] This application provides a procurement quotation management method, applicable to... Figure 1 Please refer to the procurement quotation management system shown below. Figure 2 , Figure 2 This is a flowchart illustrating a procurement quotation management method according to an embodiment of this application. It should be noted that if substantially the same result is achieved, this embodiment does not necessarily reflect that result. Figure 2 The illustrated process sequence is limited. For example... Figure 2 As shown, this embodiment includes:

[0072] Step S210: Obtain procurement requirements information and supplier information.

[0073] The supplier information includes supplier quotations.

[0074] In one implementation, the procurement requirements information includes technical requirements, material type requirements, process type requirements, and surface treatment method requirements.

[0075] The technical requirements include: 2D / 3D drawings, BOM quantities, and process requirements. Material type requirements include plastic parts and metal parts. Process type requirements include stamping and machining. Surface treatment requirements include electroplating and painting.

[0076] In one implementation, the supplier information includes supplier quotation information.

[0077] The supplier quotations include price information corresponding to various material types, process types, and surface treatment methods.

[0078] In another implementation, supplier information also includes the supplier's historical performance data.

[0079] The supplier's historical performance data includes the supplier's quality, delivery, service, and cooperation stability.

[0080] Step S220: Based on the procurement demand information, select supplier information using intelligent algorithms, and output the target supplier and the corresponding target price range.

[0081] The system uses intelligent algorithms to evaluate the rationality of multiple suppliers' quotations for the procurement needs and recommends the best supplier and its corresponding price range.

[0082] Specifically, by leveraging AI algorithms combined with historical data and supplier performance, such as price, delivery time, and on-time performance, the system dynamically recommends the optimal solution, reducing the risk of subjective decision-making. It also supports weight adjustments, such as prioritizing price or delivery time, to meet diverse enterprise needs.

[0083] Step S230: Output purchase orders based on target suppliers and track the purchase orders.

[0084] In one specific implementation, suppliers of the same type are automatically matched, and an interface for new suppliers not yet imported into the system is opened. The procurement department manually enters the basic information of the suppliers, and after the procurement department clicks to confirm, the purchase order is tracked.

[0085] This application provides a procurement quotation management method that can reduce errors in manual review by automatically acquiring demand data and supplier data, recommend the best supplier by utilizing historical data and algorithm models, reduce human intervention, optimize supplier selection efficiency, improve decision-making objectivity, and significantly reduce the company's initial investment and long-term production costs.

[0086] Please see Figure 3 , Figure 3 This is a flowchart illustrating another procurement quotation management method in the embodiments of this application. It should be noted that if substantially the same result is achieved, this embodiment does not necessarily reflect that. Figure 3 The illustrated process sequence is limited. For example... Figure 3 As shown, this embodiment includes:

[0087] Step S310: Obtain procurement requirements information and supplier information.

[0088] For details, please refer to step S210; the specific content will not be repeated here.

[0089] Step S320: Based on the procurement demand information, select supplier information using intelligent algorithms, and output the target supplier and the corresponding target price range.

[0090] Specifically, step S320 includes:

[0091] Step S321: Determine the supplier recommendation indicators and adjust the weights of the supplier recommendation indicators using historical recommendation data and intelligent algorithms.

[0092] For example, supplier recommendation criteria include price, delivery time, and supplier performance.

[0093] The historical recommendation data includes purchase order / contract data, supplier quotation data, material / service specification data, and supplier performance data.

[0094] Purchase order / contract data: Detailed records of historical purchased items / services (material number, specifications, description, quantity), supplier name, final transaction price, contract terms such as discounts, payment terms, freight payer, etc., and purchase date.

[0095] Supplier quotation data: Information on quotations submitted by suppliers for specific inquiries (RFQ / RFP), such as quotation, quotation validity period, quotation date, supplier name, and specific specifications included in the quotation.

[0096] Material / service specifications: Clear description of the item / service, technical parameters, quality standards, and units such as piece, kilogram, meter, and hour.

[0097] Supplier performance data: historical on-time delivery rate, quality pass rate, service level, such as response speed, problem-solving ability, cooperation stability, and historical price fluctuations.

[0098] In another implementation, historical recommendation data includes market benchmark data and cost structure data.

[0099] Market benchmark data: external macroeconomic data such as industry reports, commodity price indices, and exchange rate fluctuations.

[0100] Cost structure data: Analysis of the cost composition of key materials or services, such as raw materials, labor, manufacturing costs, and logistics.

[0101] Among them, intelligent algorithms can be prediction models, anomaly detection models, clustering analysis modules, natural language processing models, etc.

[0102] In one implementation, a predictive model is used to forecast a "reasonable" price range based on historical data, such as quantity, time, specifications, and supplier characteristics. Examples of predictive models include multiple linear regression, ridge regression, and Lasso regression.

[0103] In one implementation, anomaly detection is used to identify bids that deviate significantly from the predicted price range or historical patterns (too high or too low) and mark them as potentially unreasonable bids.

[0104] In one implementation, a clustering analysis module is used to group suppliers or materials and identify the price characteristics and performance of different groups.

[0105] In one implementation, natural language processing is used to analyze the text descriptions in the inquiry and quotation documents to extract key specification information and assist in matching and comparison.

[0106] The weights of multiple supplier recommendation indicators are determined by combining various intelligent algorithms and historical data.

[0107] Step S322: Determine the target supplier based on the supplier recommendation indicators and their corresponding weights.

[0108] The optimal target supplier is determined by summing the supplier recommendation indicators and their corresponding weights.

[0109] Step S323: Output the target supplier and the corresponding target price range.

[0110] Based on historical data and a trained AI model, predict the expected reasonable price range for the item / service under current conditions (specifications, quantity, time point, market environment).

[0111] Understandably, in one implementation, the reasonableness of the target supplier's quotation is further judged to determine whether the target supplier's quotation is within the target price range. If the target supplier's quotation is not within the target price range and the quotation is too high, the system will mark it as a "potentially unreasonable quotation" and prompt the procurement personnel to pay close attention and verify it.

[0112] Step S330: Output purchase orders based on target suppliers and track the purchase orders.

[0113] Specifically, step S330 includes:

[0114] Step S331: Set up a time constraint mechanism and a performance evaluation mechanism.

[0115] Step S332: Conduct quality assessment of purchase orders based on timeliness constraints and performance evaluation mechanisms.

[0116] Automatically matches suppliers to the supplier database (default ≥ 3). Overdue responses trigger reminders and performance penalty mechanisms to strengthen supplier accountability. Three overdue responses automatically disqualify a supplier, ensuring the quality of the supplier database and improving the stability of long-term cooperation.

[0117] The procurement quotation management system and method provided in this application can achieve the following technical effects.

[0118] 1. Economic benefits

[0119] Reduce procurement costs: AI intelligently recommends the best suppliers, significantly reducing the company's initial investment and long-term production costs.

[0120] Improve capital utilization: Automated processes reduce manual intervention, shorten quotation cycles, accelerate procurement decisions, and avoid capital stagnation.

[0121] Implicit cost control: The system supports the inclusion of additional costs such as transportation and tariffs in the calculation, providing a more comprehensive cost analysis and avoiding decision-making biases.

[0122] 2. Technical benefits

[0123] Process automation: Automatically validates requirement information, reducing errors from manual review. Quotation data is automatically generated into visual charts (pie charts, bar charts), improving data comparison efficiency.

[0124] Intelligent decision support: Intelligent algorithms combine historical data with supplier performance, including price, delivery time, and on-time rate, to dynamically recommend the optimal solution, reducing the risk of subjective decision-making. Weight adjustments are supported to meet diverse enterprise needs.

[0125] Supplier management optimization: Automatic matching with the supplier database, automatic disqualification after three overdue periods, ensuring the quality of the supplier database and improving the stability of long-term cooperation.

[0126] 3. Social benefits

[0127] Driving digital transformation: Replacing traditional manual operations, such as emails and spreadsheets, with integrated systems promotes the standardization and intelligentization of enterprise procurement processes.

[0128] Enhancing industry transparency: Visualized price comparisons and objective intelligent algorithm recommendations reduce the risk of opaque operations and strengthen trust in supply chain collaboration.

[0129] Efficient resource allocation: Optimize supplier selection efficiency, avoid inefficient communication, and free up human resources for higher value-added processes, such as strategic negotiation and quality control.

[0130] 4. Practical application value

[0131] Wide applicability: Supports multiple types of materials (plastic parts, hardware parts, etc.) and processes (stamping, machining, etc.), adaptable to diverse scenarios such as manufacturing and retail.

[0132] Closed-loop management: From request submission to approval tracking, the entire process is traceable to ensure consistent execution.

[0133] Therefore, this application solves the problems of low efficiency, opaque decision-making, and loose supplier management in traditional procurement processes by using automation, visualization, and intelligent technologies, and has significant comprehensive benefits in terms of cost reduction, efficiency improvement, and management optimization.

[0134] This invention also provides a computer device having the above-described features. Figure 1 The procurement quotation management system shown.

[0135] Please see Figure 4 , Figure 4 This is a schematic diagram of the structure of a computer device provided in an optional embodiment of the present invention, such as... Figure 4 As shown, the computer device includes one or more processors 10, memory 20, and interfaces for connecting the components, including high-speed interfaces and low-speed interfaces. The components communicate with each other via different buses and can be mounted on a common motherboard or otherwise installed as needed. The processors can process instructions executed within the computer device, including instructions stored in or on memory to display graphical information of a GUI on external input / output devices (such as display devices coupled to the interfaces). In some alternative implementations, multiple processors and / or multiple buses can be used with multiple memories and multiple memory modules, if desired. Similarly, multiple computer devices can be connected, each providing some of the necessary operations (e.g., as a server array, a group of blade servers, or a multiprocessor system). Figure 4 Take a processor 10 as an example.

[0136] Processor 10 may be a central processing unit, a network processor, or a combination thereof. Processor 10 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof. The programmable logic device may be a complex programmable logic device (CAMP), a field-programmable gate array (FPGA), a general-purpose array logic (GPA), or any combination thereof.

[0137] The memory 20 stores instructions executable by at least one processor 10 to cause at least one processor 10 to perform the method shown in the above embodiments.

[0138] The memory 20 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data created based on the use of the computer device. Furthermore, the memory 20 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some alternative embodiments, the memory 20 may optionally include memory remotely located relative to the processor 10, and these remote memories may be connected to the computer device via a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

[0139] The memory 20 may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as flash memory, hard disk or solid-state drive; the memory 20 may also include a combination of the above types of memory.

[0140] The computer device also includes an input device 30 and an output device 40. The processor 10, memory 20, input device 30, and output device 40 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0141] Input device 30 can receive input numerical or character information, and generate key signal inputs related to user settings and function control of the computer device, such as a touchscreen, keypad, mouse, trackpad, touchpad, joystick, one or more mouse buttons, trackball, joystick, etc. Output device 40 may include display devices, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibration motors). The aforementioned display devices include, but are not limited to, liquid crystal displays, light-emitting diodes, displays, and plasma displays. In some alternative embodiments, the display device may be a touchscreen.

[0142] The computer device also includes a communication interface 30 for communicating with other devices or communication networks.

[0143] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code, which, when accessed and executed by the computer, processor, or hardware, implements the methods shown in the above embodiments.

[0144] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, or indirect coupling or communication connection between apparatuses or units, and may be electrical, mechanical, or other forms.

[0145] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0146] The above are merely embodiments of the present invention and do not limit the patent scope of the present invention. Any equivalent structural or procedural transformations made based on the content of the present invention's specification and drawings, or direct or indirect applications in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A procurement quotation management system, characterized in that, The system includes a demand-side interaction module, an intelligent recommendation module, a supplier management module, and an approval tracking module. The demand-side interaction module is used to obtain procurement demand information and supplier information, including supplier quotations. The intelligent recommendation module is used to select suppliers based on procurement needs and intelligent algorithms, and output the target suppliers and corresponding target price ranges. The supplier management module is used to generate purchase orders based on target suppliers; The approval tracking module is used to track purchase orders.

2. The procurement quotation management system according to claim 1, characterized in that, The system also includes a quotation data comparison module, in which, The quotation data comparison module is used to compare and analyze supplier information and generate visual charts.

3. The procurement quotation management system according to claim 1, characterized in that, The intelligent recommendation module is used to determine supplier recommendation indicators and adjust the weight of supplier recommendation indicators using historical recommendation data and intelligent algorithms; Target suppliers are determined based on supplier recommendation indicators and their corresponding weights.

4. The procurement quotation management system according to claim 1, characterized in that, The intelligent recommendation module is also used to set time-sensitive constraints and performance evaluation mechanisms; Quality assessment of purchase orders is conducted based on timeliness constraints and performance evaluation mechanisms.

5. A procurement quotation management method, characterized in that, The method, applied to the quotation management system of any one of claims 1-4, comprises: Obtain procurement needs information and supplier information, including supplier quotations; Based on procurement demand information, the system selects suppliers using intelligent algorithms and outputs target suppliers and their corresponding target price ranges. Purchase orders are generated based on target suppliers, and these purchase orders are tracked.

6. The procurement quotation management method according to claim 5, characterized in that, Based on procurement needs information, supplier information is selected using intelligent algorithms, including: Determine supplier recommendation metrics and adjust their weights using historical recommendation data and intelligent algorithms; Target suppliers are determined based on supplier recommendation indicators and their corresponding weights.

7. The procurement quotation management method according to claim 5, characterized in that, The method further includes: Establish time-bound constraints and performance evaluation mechanisms; Quality assessment of purchase orders is conducted based on timeliness constraints and performance evaluation mechanisms.

8. The procurement quotation management method according to claim 7, characterized in that, Quality assessment of purchase orders is conducted based on time-bound and performance evaluation mechanisms, including: The purchase order is determined based on a time-bound constraint mechanism, and the cumulative number of overdue orders for the corresponding target supplier is recorded. When the cumulative number of overdue payments by a target supplier exceeds the preset number of overdue payments, the target supplier's eligibility to submit a bid will be cancelled.

9. A computer device, characterized in that, include: The memory and processor are interconnected and communicate with each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the procurement quotation management method of any one of claims 5 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the procurement quotation management method of any one of claims 5 to 8.

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