Automatic quotation system for mold parts

Abstract

The invention relates to the technical field of mold quotation systems, in particular to an automatic quotation system for mold parts, which comprises a buyer end unit, a supplier end unit, a platform end unit and a server end unit, the server unit is used for constructing a database to store detailed information of parts; the buyer side unit feeds back a matched quotation scheme after requesting for quotation according to a part model input by a user; the buyer end unit is provided with a user interaction interface; the supplier terminal unit is used for providing uploading part information and maintenance part information for suppliers; and the platform end unit is used for processing request quotation of a user, optimizing quotation information and transmitting the quotation information to the buyer end unit for feeding back a matched quotation scheme. According to the invention, the rapid and accurate quotation service is realized, the quotation time can be obviously shortened, the quotation transparency and accuracy are improved, the operation cost is reduced, and the transaction experience is improved.

Description

Technical Field

[0001] The invention relates to the technical field of mold quotation systems, and in particular to an automatic quotation system for mold parts. Background Art

[0002] In traditional manufacturing, especially in the mold industry with a high degree of customization, parts procurement usually relies on manual inquiry, which is not only inefficient, but also prone to inaccurate quotations and uncertain delivery dates due to factors such as information asymmetry and market fluctuations. Although there are some online procurement platforms and simple quotation tools on the market, these solutions are mainly focused on bulk procurement of standardized products, and still face many challenges for non-standard parts or customized products (such as mold parts).

[0003] Traditional mold parts procurement relies on manual inquiry, which is inefficient and inaccurate. Existing automated quotation systems often lack in-depth data analysis capabilities and real-time response capabilities, and cannot meet the high requirements of modern enterprises for supply chain management and cost control. In addition, traditional quotation algorithms are difficult to accurately predict prices and lack an effective scoring mechanism to comprehensively evaluate the capabilities and service quality of suppliers, which affects the rationality of the final selection. Summary of the invention

[0004] The embodiment of the present application realizes fast and accurate quotation service by providing an automatic quotation system for mold parts. The system can significantly shorten the quotation time, improve the transparency and accuracy of the quotation, while reducing operating costs and improving the transaction experience. In addition, it also supports real-time inventory management, tiered pricing, delivery cycle prediction and other functions, which helps to strengthen supply chain management and customer relationships.

[0005] The embodiment of the present application provides an automatic quotation system for mold parts, which includes a buyer end unit, a supplier end unit, a platform end unit and a server end unit;

[0006] The server-side unit is used to build a database to store detailed information of parts;

[0007] The buyer-side unit feeds back a matching quotation scheme after requesting a quotation based on the part model input by the user; the buyer-side unit is provided with a user interaction interface;

[0008] The supplier end unit is used to provide the supplier with the information of uploaded parts and the information of maintained parts;

[0009] The platform-side unit is used to process the user's request for quotation, and then optimize the quotation information and transmit it to the buyer-side unit for feedback of the matching quotation plan.

[0010] The database stores detailed information on parts including model, specification, material and production process.

[0011] The quotation plan includes price, inventory status, tiered prices under different purchase quantities, delivery cycle and supplier details.

[0012] Wherein, the user interaction interface is provided with a quotation record query module, and the quotation record query module is used to query and compare different quotation schemes.

[0013] Wherein, the buyer-end unit includes a smart phone, a tablet computer or a computer.

[0014] Wherein, the supplier-end unit includes a smart phone, a tablet computer or a computer.

[0015] The quotation proposal is output in electronic document or paper form.

[0016] The platform end unit is provided with a data collection module, a data cleaning module, a data completion module, a feature extraction module, a data analysis module and a quotation generation module;

[0017] The data collection module is used to collect detailed information of mold parts and collect market data;

[0018] The data cleaning module is used to clean the collected data and remove duplicate, erroneous and incomplete data;

[0019] The data completion module is used to correct erroneous data;

[0020] The feature extraction module is used to extract important feature information that has a great impact on price from the cleaned data;

[0021] The data analysis module is used to predict the future price trend of mold parts after analyzing and processing the extracted features, and then predict the reasonable quotation range of mold parts;

[0022] The quotation generation module is used to automatically generate a detailed quotation plan.

[0023] The platform end unit is also provided with a scoring module; the scoring method of the scoring module is:

[0024] S1. Determine the scoring indicators;

[0025] S2. Set scoring weights;

[0026] S3, collect scoring data;

[0027] S4. Score each component based on the scoring indicators and weights.

[0028] Wherein, the platform end unit is also provided with a sorting module; the sorting module sorts the components from high to low according to the scoring results.

[0029] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0030] When the system of the embodiment of the present application is in use, after the buyer enters the specific parameters of the required parts through the buyer-side unit (such as a smartphone application), the system immediately calls the core database of the server-side unit to find the parts information that meet the conditions; then, the system processes the relevant data through the platform-side unit to predict a reasonable quotation range. Finally, the system generates a detailed quotation and feeds it back to the buyer-side unit. The buyer can directly view and compare the quotations of different suppliers on the user interaction interface, and even place an order directly; in addition, the supplier updates the parts information provided by it through the supplier-side unit, including but not limited to price adjustments, inventory changes, etc. These updates will be synchronized to the core database of the server, thereby ensuring the data timeliness of the quotation system. When the buyer initiates a new quotation request, the system will provide the quotation suggestion that best meets the current market based on the latest data, while taking into account the buyer's specific needs, such as delivery time, quality standards, etc., to recommend the best supply option, thereby realizing a fast and accurate quotation service. The system can significantly shorten the quotation time, improve the transparency and accuracy of the quotation, while reducing operating costs and improving the transaction experience; in addition, it also supports real-time inventory management, tiered pricing, delivery cycle prediction and other functions, which helps to strengthen supply chain management and customer relationships. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 The present invention is a workflow diagram of an automatic quotation system for mold parts. DETAILED DESCRIPTION

[0032] An embodiment of the present application provides an automatic quotation system for mold parts, which includes a buyer-side unit, a supplier-side unit, a platform-side unit and a server-side unit; the server-side unit is used to build a database to store detailed information on parts; the buyer-side unit feeds back a matching quotation plan based on a user inputting a quotation request for a part model; the buyer-side unit is provided with a user interaction interface; the supplier-side unit is used to provide suppliers with the ability to upload part information and maintain part information; the platform-side unit is used to process a user's request for quotation, and then optimize the quotation information and transmit it to the buyer-side unit for feeding back a matching quotation plan.

[0033] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0034] Embodiment 1

[0035] In the first embodiment of the present application, the database stores detailed information of parts including model, specification, material and production process; wherein the quotation plan includes price, inventory status, tiered price under different purchase quantities, delivery cycle and supplier details; wherein the buyer-side unit includes a smart phone, a tablet computer or a computer; wherein the supplier-side unit includes a smart phone, a tablet computer or a computer; wherein the quotation plan is output in the form of an electronic document or paper; and the user interaction interface is provided with a quotation record query module, and the quotation record query module is used to query and compare different quotation plans.

[0036] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0037] When the system of the embodiment of the present application is in use, after the buyer enters the specific parameters of the required parts through the buyer-side unit (such as a smartphone application), the system immediately calls the core database of the server-side unit to find the parts information that meet the conditions; then, the system processes the relevant data through the platform-side unit to predict a reasonable quotation range. Finally, the system generates a detailed quotation sheet and feeds it back to the buyer-side unit. The buyer can directly view and compare the quotations of different suppliers on the user interaction interface, and even place an order directly; in addition, the supplier updates the parts information provided by it through the supplier-side unit, including but not limited to price adjustments, inventory changes, etc. These updates will be synchronized to the core database of the server side, thereby ensuring the data timeliness of the quotation system. When the buyer initiates a new quotation request, the system will provide the most suitable quotation suggestion for the current market based on the latest data, while taking into account the buyer's specific needs, such as delivery time, quality standards, etc., to recommend the best supply option; under the above settings, the embodiment of the present application realizes a fast and accurate quotation service. The system can significantly shorten the quotation time, improve the transparency and accuracy of the quotation, while reducing operating costs and improving the transaction experience; in addition, it also supports real-time inventory management, tiered pricing, delivery cycle prediction and other functions, which helps to strengthen supply chain management and customer relationships.

[0038] Embodiment 2

[0039] In the second embodiment of the present application, the platform end unit is provided with a data collection module, a data cleaning module, a data completion module, a feature extraction module, a data analysis module and a quotation generation module;

[0040] The data collection module is used to collect detailed information of mold parts and collect market data;

[0041] The data cleaning module is used to clean the collected data and remove duplicate, erroneous and incomplete data;

[0042] The data completion module is used to correct erroneous data;

[0043] The feature extraction module is used to extract important feature information that has a great impact on price from the cleaned data;

[0044] The data analysis module is used to predict the future price trend of mold parts after analyzing and processing the extracted features, and then predict the reasonable quotation range of mold parts;

[0045] The quotation generation module is used to automatically generate a detailed quotation plan.

[0046] Specifically, under the above settings, mainly based on data analysis and statistical principles, combined with the characteristics of mold parts and market demand, forecasts and quotations are made. Data collection collects detailed information on mold parts, such as model, specification, material, production process, etc.; collects relevant market data, such as raw material prices, labor costs, transportation costs, etc., to ensure the timeliness of quotations; data cleaning cleans the collected data to remove duplicate, erroneous and incomplete data; completes missing data, corrects erroneous data, and ensures the accuracy and completeness of data; feature extraction extracts important features that have a greater impact on prices from the cleaned data, including the complexity of mold parts, material costs, production cycles, market demand, etc.; data analysis is based on preset algorithms and rules to conduct in-depth analysis of the extracted features, which may include but is not limited to: the proportion of the material cost of mold parts to the total mold cost (usually between 15%-30%). The ratio of processing fees to profits (usually between 30%-50%). The proportion of design fees, mold trial fees, packaging and transportation fees, etc. in the total mold cost (design fees account for about 10%-15%, mold trial fees can be controlled within 3% for large and medium-sized molds, and within 5% for small precision molds. Packaging and transportation fees can be calculated based on actual costs or 3%). Consider other taxes such as value-added tax (such as 17% value-added tax); predict the future price trend of mold parts through data analysis and machine learning algorithms. Modeling prediction establishes a prediction model based on the results of data analysis; the model can be trained and optimized based on historical data, market trends, customer needs and other factors. The model predicts the reasonable quotation range of mold parts; quotation generation automatically generates a detailed quotation based on the prediction results; the quotation includes key information such as detailed information, price, delivery date, etc. of the mold parts; the quotation can be output in electronic or paper form for easy viewing and transmission by users.

[0047] In summary, the automatic quotation system of the embodiment of the present application is a comprehensive process, which combines multiple steps such as data collection, cleaning, feature extraction, data analysis, modeling and prediction, and aims to provide enterprises with fast and accurate mold parts quotation services. At the same time, through system tuning and risk cost calculation, the rationality and accuracy of the quotation can be further ensured.

[0048] Furthermore, the embodiment of the present application not only supports multiple formats of model recognition, such as uppercase and lowercase, separators, etc., to improve the flexibility of matching, but also can perform comprehensive scoring and sorting based on real-time inventory status, tiered prices corresponding to purchase quantities, delivery cycles, supplier reputation scores, and historical product quality records to recommend the best matching options:

[0049] 1. Scoring process

[0050] (1) Determine the scoring indicators

[0051] Material Cost: Assess the cost of a component based on the type and amount of material used. For example, high-quality steel may cost more than regular steel.

[0052] Process complexity: Evaluate the difficulty and complexity of parts processing. Highly complex parts may require more man-hours and equipment, thereby increasing costs.

[0053] Quality requirements: Based on customer needs, evaluate the quality requirements of parts, such as accuracy, surface treatment, etc. High quality requirements may increase manufacturing costs.

[0054] Lead Time: Consider the lead time requirements for parts and components. Urgent delivery may require additional costs.

[0055] Supplier reputation: Assess the supplier's reputation and strength. Suppliers with good reputation may provide higher quality assurance and after-sales service.

[0056] (2) Setting scoring weights

[0057] According to the importance of each scoring indicator, set the corresponding weight. For example, material cost may account for 40%, process complexity accounts for 30%, quality requirements account for 20%, delivery time accounts for 5%, and supplier reputation accounts for 5%.

[0058] (3) Collect data

[0059] Collect relevant data and information from suppliers, market research, historical data and other sources.

[0060] (4) Rating

[0061] Score each component based on the scoring indicators and weights. For example, the material cost score of a component is 80 (out of 100), the process complexity score is 90, the quality requirement score is 85, the delivery time score is 95, and the supplier reputation score is 80. Calculate the total score based on the weights, such as total score = 800.4 + 900.3 + 850.2 + 950.05 + 80*0.05.

[0062] 2. Sorting process

[0063] According to the scoring results, the parts are sorted from high to low. If the total scores of two parts are the same, other factors (such as delivery time, supplier reputation, etc.) can be further considered for secondary sorting.

[0064] 3. Choose the best matching option

[0065] (1) Identify customer needs

[0066] Before choosing the best matching option, it is important to first clarify the customer's needs and expectations, such as quality, cost, delivery time, etc.

[0067] (2) Analyze the scoring and ranking results

[0068] Carefully analyze the scoring and ranking results to understand the strengths and weaknesses of each component. At the same time, consider the matching degree between customer needs and component characteristics.

[0069] (3) Consider other factors

[0070] In addition to the scoring and ranking results, other factors that may affect the selection need to be considered, such as the applicability and substitutability of parts and components, and the supplier's after-sales service.

[0071] (4) Comprehensive judgment

[0072] Consider the scores, ranking results and other factors comprehensively, and select the best matching option that best meets customer needs and expectations. In the decision-making process, the principle of value engineering can be applied to assist in the selection by calculating the value coefficient (function evaluation coefficient / cost coefficient). Parts with a value coefficient close to 1 usually indicate a high degree of matching between function and cost, and are a more ideal choice.

[0073] Example

[0074] Assume there are two mold parts A and B, and their scoring results are as follows:

[0075] Part A: Material cost score 80, process complexity score 90, quality requirement score 85, delivery time score 95, supplier reputation score 80, total score 3.7 (score calculated according to weights).

[0076] Part B: Material cost score 85, process complexity score 80, quality requirement score 90, delivery time score 90, supplier reputation score 85, total score 3.75.

[0077] If the customer has high requirements for quality and delivery, and cost is not a major consideration, then Part B may be a better choice because it scores higher in quality and delivery. However, if the customer has strict control over cost, then Part A may be a more appropriate choice because it scores lower in material cost. The final choice should be determined based on the customer's specific needs and preferences.

[0078] Embodiment 3

[0079] In the third embodiment of the present application, the specific method for the buyer to initiate a quotation request is:

[0080] Step A: Demand input: The buyer fills in the demand form of the required mold parts in detail through the buyer-side unit (such as a web application or mobile application), including but not limited to model, specification, material requirements, special process instructions, estimated purchase quantity and delivery time requirements, etc.

[0081] Step B: Intelligent matching: After the system receives the request, the core database on the server side uses a proprietary fuzzy matching algorithm to quickly find the records of parts that meet the conditions. This process not only takes into account model recognition in different formats, but also combines information such as the user's geographic location and past purchasing behavior to improve the pertinence of the search.

[0082] Step C: Data preprocessing: The data collection module on the platform starts working, first obtaining relevant data from multiple channels (such as public market data, real-time quotes provided by cooperative suppliers, and internal historical transaction records), and then through a series of preprocessing operations such as data cleaning and feature extraction to ensure that the data used for subsequent analysis is clean and complete.

[0083] Step D: Modeling and prediction: Use machine learning models to train the cleaned data and build a price prediction model suitable for mold parts. During the model training process, various factors that may affect the price are fully considered, such as material cost, processing difficulty, market demand fluctuations, etc., to improve the accuracy of the prediction.

[0084] Step E: Score sorting: Based on the preset scoring indicators (such as material cost, process complexity, quality requirements, delivery time, supplier reputation, etc.) and their weights, the system scores all candidate parts and sorts them according to the total score. If the total scores of two parts are the same, they will be further sorted based on factors such as delivery time and supplier reputation. The scoring system also specifically considers the supplier's historical product quality and service level to ensure that the recommendation results are not limited to price advantages.

[0085] Step F: Quotation generation and decision support: After completing the above calculations, the system automatically generates a detailed quotation, including detailed information on parts, prices, tiered prices at different purchase volumes, estimated delivery cycles, and supplier details. The quotation is sent to the buyer in the form of an electronic document for easy viewing and delivery. In addition, the system also provides additional decision-making support information, such as value coefficient analysis, to help buyers better understand the advantages and disadvantages of each option, so that they can make the choice that best suits their needs.

[0086] Embodiment 4

[0087] In the fourth embodiment of the present application, the method for a supplier to maintain product information is:

[0088] Step S1: Information upload: Suppliers log in to the system through the supplier end unit and upload the information of newly launched mold parts or update the parameters of existing products (such as price, inventory quantity, production process improvement, etc.). Suppliers can also submit certification documents, quality inspection reports and other supporting materials to increase trust.

[0089] Step S2: Audit verification: To ensure the accuracy and reliability of the data, the system will conduct a preliminary audit of the uploaded content to check for obvious errors or outliers. Once any problems are found, the supplier will be prompted to correct them. The audit process also includes verifying the authenticity of the supporting materials submitted by the supplier to prevent false advertising.

[0090] Step S3: Synchronous update: After review and confirmation, the new or updated product information will be synchronized to the core database on the server side and take effect immediately. This means that all subsequent quotation requests will be processed based on the latest data, maintaining the timeliness of the quotation system. At the same time, the system will automatically notify relevant potential buyers about new products or price changes to increase sales opportunities.

[0091] Embodiment 5

[0092] In the fifth embodiment of the present application, a system security and privacy protection unit is also provided, and the system security and privacy protection unit includes:

[0093] Data encryption transmission: All data transmitted on the network is encrypted using the SSL / TLS protocol, and sensitive information (such as trade secrets and personal identity information) is protected using stronger encryption algorithms.

[0094] Access control: The system strictly limits the operating permissions of different roles (such as buyers, suppliers, and administrators). Parts involving financial transactions also require two-factor authentication to enhance security.

[0095] Logging and auditing: Every important operation will be recorded to form a complete operation log for future review and accountability. Log data is also subject to strict access control and can only be viewed by specific personnel, ensuring the transparency and traceability of the system.

[0096] Privacy Policy Compliance: The system complies with the requirements of international privacy regulations such as GDPR, clearly informs users how their personal information is collected, used and protected, and provides convenient ways for users to exercise their rights, such as reviewing, modifying or deleting personal data.

[0097] The technical effects that can be achieved by the present invention are:

[0098] Improve quotation accuracy: By integrating market dynamic monitoring functions, key factors such as raw material prices and labor costs are updated in real time, and in-depth analysis is conducted based on historical transaction data to ensure that each quotation reflects the latest market conditions.

[0099] Enhance decision-making support capabilities: Introduce the principle of value engineering and assist buyers in choosing the best solution by calculating the value coefficient (function evaluation coefficient / cost coefficient). At the same time, provide a detailed scoring report to help users fully understand the advantages and disadvantages of each option.

[0100] Optimize supply chain management: Support suppliers to upload the latest product information in real time, including inventory status, pricing strategy, etc., to ensure the timeliness of the quotation system. The system also rates the reputation of suppliers based on their historical performance to promote healthy and stable supply chain relationships.

[0101] Strengthen information security: Use multi-layer encryption technology to protect data transmission security, implement strict access control, and record all important operation logs to ensure the transparency and traceability of system operations.

[0102] Intelligent matching recommendation: Based on fuzzy logic algorithm, efficient product matching is achieved, model recognition in different formats is considered, and search accuracy is improved. Combined with factors such as tiered pricing and delivery cycle, personalized recommendation services are provided to users.

[0103] Innovative quotation algorithm: Different from the traditional quotation method based on rules or fixed templates, this invention adopts a machine learning model for price prediction, which can adaptively adjust according to changes in complex market environment and provide more accurate quotations.

[0104] Comprehensive scoring mechanism: A multi-dimensional scoring index system is introduced. In addition to basic cost factors, it also pays special attention to the supplier's service quality and historical performance, so that the recommendation results are not limited to the price level, but comprehensively consider more key factors that affect procurement decisions.

[0105] Personalized recommendation service: Based on the buyer’s geographic location, past purchasing behavior and other information, more intelligent product matching is achieved, which improves the user experience and also promotes sales conversion rate.

[0106] Strong security performance: Through multi-level security protection measures, including but not limited to data encryption, access control, logging and auditing, the stable operation of the entire system and the security of user information are ensured, which is particularly important in the current era of high attention to data privacy.

[0107] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0108] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0109] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0110] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

Claims

1. An automatic quotation system for mold parts, characterized by: It includes buyer-side units, supplier-side units, platform-side units and server-side units; The server-side unit is used to construct a database to store detailed information of parts; The buyer-side unit feeds back a matching quotation scheme after requesting a quotation based on the part model input by the user; the buyer-side unit is provided with a user interaction interface; The supplier end unit is used to provide the supplier with the information of uploaded parts and the maintenance of parts; The platform-side unit is used to process the user's request for quotation, and then optimize the quotation information and transmit it to the buyer-side unit for feedback of the matching quotation plan.

2. The automatic quotation system for mold parts according to claim 1 is characterized in that: The database stores detailed information of parts including model, specification, material and production process.

3. The automatic quotation system for mold parts according to claim 1 is characterized in that: The quotation plan includes price, inventory status, tiered prices for different purchase quantities, delivery cycle and supplier details.

4. The automatic quotation system for mold parts according to claim 1, characterized in that: The user interaction interface is provided with a quotation record query module, and the quotation record query module is used to query and compare different quotation schemes.

5. The automatic quotation system for mold parts according to claim 1 is characterized in that: The buyer end unit includes a smartphone, tablet or computer.

6. The automatic quotation system for mold parts according to claim 1, characterized in that: The provider end unit comprises a smartphone, tablet or computer.

7. The automatic quotation system for mold parts according to claim 1 is characterized in that: The quotation proposal is output in electronic document or paper form.

8. The automatic quotation system for mold parts according to claim 1 is characterized in that: The platform end unit is provided with a data collection module, a data cleaning module, a data completion module, a feature extraction module, a data analysis module and a quotation generation module; The data collection module is used to collect detailed information of mold parts and collect market data; The data cleaning module is used to clean the collected data and remove duplicate, erroneous and incomplete data; The data completion module is used to correct erroneous data; The feature extraction module is used to extract important feature information that has a great impact on price from the cleaned data; The data analysis module is used to predict the future price trend of mold parts after analyzing and processing the extracted features, and then predict the reasonable quotation range of mold parts; The quotation generation module is used to automatically generate a detailed quotation plan.

9. The automatic quotation system for mold parts according to claim 1, characterized in that: The platform end unit is also provided with a scoring module; the scoring method of the scoring module is: S1. Determine the scoring indicators; S2. Set scoring weights; S3, collect scoring data; S4. Score each component based on the scoring indicators and weights.

10. The automatic quotation system for mold parts according to claim 1, characterized in that: The platform end unit is also provided with a sorting module; the sorting module sorts the components from high to low according to the scoring results.

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