A method for obtaining quotes for clothing styles based on SKU dimensions

Abstract

This invention relates to the field of garment production chain collaboration, specifically disclosing a method for querying and quoting garment styles based on the SKU dimension. The method includes: creating and distributing query forms supporting multi-dimensional selection by style, style color, and style color code SKU; the supplier terminal generating a quotation based on the query form, calling its internal standard component cost library to calculate details for SKU entries, updating the status to "quoted" and generating a unique version record after confirmation; the brand performing operations such as accepting or rejecting the quotation; and after order completion, using actual production cost data to calibrate the supplier's standard cost library. This invention achieves refined cost control from the style level to the SKU level, ensures the rigor and traceability of the collaborative process through a versioned state machine, and realizes self-optimization of the cost model through a data closed loop of quotation-production-calibration, significantly improving the collaborative efficiency and cost control capabilities of the garment supply chain.

Description

Technical Field

[0001] This invention relates to the field of collaborative technology in the garment production chain, specifically to a method for querying and quoting garment styles based on the SKU dimension. Background Technology

[0002] In the apparel design, manufacturing, and brand operation industry chain, the inquiry and quotation process between brands and production suppliers is a core link in supply chain collaboration. Its efficiency and accuracy directly affect product cost control, time-to-market, and overall competitiveness. Currently, the inquiry and quotation model commonly used in the industry still faces many technical bottlenecks and business pain points that urgently need to be addressed.

[0003] Firstly, existing technical solutions generally fall short in terms of data granularity for inquiries and quotations. Most systems or offline processes only support inquiries and quotations on a per-style basis. However, a garment style typically includes multiple colors (SKUs, stock keeping units) and sizes. The actual production costs of different colors and sizes can vary significantly due to subtle differences in fabric usage, accessory configuration, and the application of special processes. The existing per-style quoting model fails to capture and reflect the cost details at the SKU level, resulting in brands receiving a general average or estimate. This vague cost information leaves subsequent supplier selection, cost analysis, and procurement decisions lacking precise data support, potentially leading to decision-making biases or profit losses.

[0004] Secondly, in terms of process collaboration and technological integration, existing solutions exhibit significant fragmentation and disconnect. On one hand, the design and cost assessment stages are separate. Designers often struggle to quickly obtain estimated costs for design solutions during the creative phase, frequently leading to cost overruns and subsequent forced modifications or even abandonment of designs during prototyping or pricing stages, resulting in wasted R&D resources. On the other hand, supplier quoting processes heavily rely on manual experience and discrete data, lacking intelligent integration with the company's internal structured knowledge base (such as standard component cost libraries and production process libraries) and dynamic market data (such as regional capacity coefficients and raw material prices). The accuracy and efficiency of quotations are difficult to guarantee, and they cannot quickly respond to the need for cost structure optimization.

[0005] Secondly, at the level of business process status management and process control, existing systems generally lack rigorous, closed-loop state machine design. The quotation process involves a series of complex state transitions, including "creation, review, quotation, rejection, re-quotation, and acceptance." Existing technologies mostly rely on simple status indicators or offline communication, lacking systematic mandatory constraints and automatic flow mechanisms for key business logic such as locking and protecting "quoted" data, how to re-initiate quotations based on historical versions after a "rejection," and the approval linkage required for the "acceptance" decision. This leads to confusion in the collaboration process, version inconsistencies, high communication costs, and difficulty in tracing historical operations.

[0006] Finally, in terms of data value mining and system self-optimization, existing technical solutions often stop at the completion of a single transaction, failing to form an effective data loop. Massive amounts of historical inquiry data, quotation details, and actual settlement cost data for final orders are mostly stored in a fragmented manner and are not systematically used to feed back into and calibrate cost calculation models. This causes the system's cost prediction capabilities to stagnate, preventing it from continuously learning from real business data to optimize the accuracy of future quotations, and failing to transform data assets into a driving force for continuously improving supply chain competitiveness.

[0007] In summary, existing apparel style inquiry and quotation technologies suffer from a series of problems, including coarse-grained quoting, fragmented process steps, disordered status management, and a lack of data value. Therefore, the industry urgently needs an innovative technological solution that can support granular quotation management down to the SKU level, achieve intelligent linkage between design, pricing, and quotation, build a rigorous and traceable online collaborative process, and ultimately form a self-learning, continuously optimizing, data-intelligent closed-loop system. Summary of the Invention

[0008] The purpose of this invention is to provide a SKU-based method for querying and quoting clothing styles, in order to solve a series of problems in the existing technology, such as coarse granularity of quotations, fragmented process links, disordered status management, and lack of data value.

[0009] To solve the above-mentioned technical problems, the present invention specifically provides the following technical solution:

[0010] A method for obtaining a quote for clothing styles based on SKU dimensions includes the following steps:

[0011] S1. The brand client creates and distributes Request for Quotation (RFQ) forms that support the SKU dimension;

[0012] S2. The supplier terminal generates a quotation based on the inquiry form, calls the standard component cost library to calculate the quotation details for the SKU items, and after confirmation, the status is updated to "quoted" and a quotation version record is generated.

[0013] S3. The brand client performs an operation on the quoted price. If rejected, the status is updated to "Rejected" and a re-quote is allowed based on the quoted price version record. If accepted, the status is updated to "Accepted".

[0014] S4. After the order associated with the quotation is completed, calibrate the standard component cost library based on the actual production cost data.

[0015] As a preferred embodiment of the present invention, the step S1 further includes a design phase cost pre-screening, specifically including:

[0016] During the design phase of clothing styles, the brand client responds to the operations on the design end and matches the corresponding component reference cost from the brand's own reference cost library based on the selected category and component style information, or the category and component style information determined by AI image recognition of the design draft.

[0017] The reference costs of the aforementioned components are combined to generate a reference cost price for the design scheme, which is then provided to the design team for design decisions, preventing subsequent waste of design and development costs.

[0018] The system associates and stores the reference cost price with the master data of the garment style; when the brand client creates an inquiry form for the style in step S1, the system loads the reference cost price into the inquiry form data structure according to the brand's needs, as a reference price to be displayed to the supplier terminal later.

[0019] As a preferred embodiment of the present invention, S1 specifically includes:

[0020] S11. In response to the inquiry request from the brand client, determine the clothing style to be inquired about;

[0021] S12. Receive an instruction to select the inquiry dimension for the clothing style, wherein the inquiry dimension includes by style, by style color, and by style color code SKU;

[0022] S13. If the inquiry dimension is selected as by style color code SKU, then in response to the operation of the brand client, at least one color and one size are selected for the style color code SKU to form at least one SKU inquiry item;

[0023] S14. The created inquiry form includes the inquiry dimensions and corresponding SKU inquiry items. After the inquiry form is reviewed and revised, it is distributed to at least one pre-designated supplier terminal. When the inquiry form is created, the system records the previously selected inquiry dimensions by default.

[0024] As a preferred embodiment of the present invention, step S14, which involves reverse review and revision of the inquiry form, specifically includes:

[0025] The brand client performs a reverse review operation on the approved inquiry form, resetting the status of the inquiry form to an editable revision status;

[0026] In the revision state, it is possible to add or delete style or style code entries in the inquiry form;

[0027] When the system deletes a style or style code entry, it sends a notification to the brand client, warning that the deletion will result in the data of the corresponding entry being cleared in the subsequent quotation generated based on this inquiry.

[0028] After the revision is completed and the document is resubmitted for review, the system will perform the distribution operation based on the revised Request for Quotation content.

[0029] As a preferred embodiment of the present invention, S2 specifically includes:

[0030] S21. Based on the received inquiry, the supplier terminal generates an associated quotation and sets the initial status of the quotation to pending quotation.

[0031] S22. Based on the inquiry requirements of the inquiry form, the supplier calls upon the company's internal standard component cost library and regional production coefficient library to calculate and fill in the quotation details for at least one SKU inquiry item in the inquiry form; wherein the construction of the standard component cost library involves: sorting out the standard components of the industry category and combining them with the company's internal data labeling training to form the company's internal standard pricing library; and breaking down and combining the costs of various components (such as lapel, pocket, etc.) to form an expanded standard component cost library.

[0032] S23. After completing the editing of the quotation details, in response to the supplier's confirmation of the quotation, update the status of the quotation from pending quotation to quotation received;

[0033] S24. Simultaneously with the status update to "quoted", a quotation version record is generated for this quotation confirmation operation. The quotation version record includes the confirmation date and a unique serial number.

[0034] S25. When the quotation is in the quoted state, the system locks the page content of the quotation, making it uneditable.

[0035] As a preferred embodiment of the present invention, S22 specifically includes:

[0036] S221. Based on the design information of the sample garment, use AI image recognition technology to disassemble the finished sample garment into standard components;

[0037] S222. In response to the instruction to retrieve the standard data package, automatically retrieve the list and attributes of materials of the type fabric, accessories, and other materials, as well as the list of special processes, from the standard data package associated with the style standard component in the standard component cost library;

[0038] S223. The total price is calculated by summing the price details of each list in the standard component cost library. The price details should include at least the cost of fabric, accessories, other materials, special processes and other costs. The standard cost can be calculated by making minor adjustments to the total price based on experience.

[0039] S224. The total price is obtained by multiplying the standard cost by a preset multiplier, and then automatically calculating the optimal production region by combining the manufacturing coefficients corresponding to different production regions in the regional production coefficient library.

[0040] As a preferred embodiment of the present invention, in step S2, the generation of the quotation also provides a quick quotation mode, which is turned off by default;

[0041] When the quick quote mode is enabled, the system clears the quote details and allows suppliers to directly fill in the total quote for different SKU inquiry items in the quote summary table, while locking the quote details table into an uneditable state.

[0042] When the quick quote mode is turned off, the quote summary table data is cleared, and the quotes are automatically generated based on the quote details.

[0043] As a preferred embodiment of the present invention, the quotation includes a negotiation option;

[0044] When the brand client selects to enable negotiation, the final confirmed price field of the corresponding SKU inquiry item in the quotation becomes editable, allowing the brand to negotiate and confirm the final transaction price with the supplier.

[0045] As a preferred embodiment of the present invention, S3 specifically includes:

[0046] S31. The brand client executes the operation instruction of accepting, rejecting or not accepting the quotation with the status of "quoted"; when the brand client executes the operation of accepting, rejecting or not accepting, the system also provides and comprehensively displays the supplier's historical performance data, including historical on-time delivery rate, historical delivery quality and historical cooperation information, for the brand's decision-making reference;

[0047] S32. If a rejection operation is performed, the system updates the status of the quotation to rejected and records the reason for rejection and the operator information in the quotation version record; the rejected status allows the supplier terminal to view the rejection information and re-trigger the quotation process based on the rejected quotation version record to generate and submit a new quotation version;

[0048] S33. If the adoption operation is performed, the system triggers the preset electronic approval process associated with the quotation. If the electronic approval process is successful, the system updates the status of the quotation to "adopted".

[0049] S34. If the "not adopted" operation is executed, the system will update the status of the quotation to "not adopted", and the "not adopted" status is the final status.

[0050] As a preferred embodiment of the present invention, S4 specifically includes:

[0051] S41. After the garment order associated with the quotation is completed and settled, the system obtains the actual production cost data of the garment order from the production execution system or the financial system.

[0052] S42. Compare and analyze the actual production cost data with the cost details data used in the adopted quotation, and calculate the difference between the actual value and the estimated value of each cost factor;

[0053] S43. Based on the analysis results of the differences, and in accordance with the preset calibration rules, the corresponding component cost benchmark values ​​in the enterprise's internal standard component cost library and the manufacturing coefficients in the regional production coefficient library are calibrated and updated.

[0054] S44. The calibrated and updated standard component cost library and regional production coefficient library will be used as the new benchmark for calling and calculating quotation details in subsequent quotation inquiries.

[0055] Compared with the prior art, the present invention has the following advantages:

[0056] 1. It has achieved a fundamental refinement of the granularity of inquiry and quotation from the style level to the SKU color code level, solving the pain point of vague cost accounting in traditional methods, providing brands with accurate cost basis for the smallest sales unit, and prompting suppliers to quote more accurately and rigorously.

[0057] 2. A rigorous quotation state machine and versioned collaboration mechanism were constructed. By defining states such as pending quotation, quotation already submitted, rejected, and accepted, as well as mandatory flow logic, especially the closed loop of rejection-resubmission and version binding, the clear, traceable, and efficient online collaboration process of multiple parties was ensured.

[0058] 3. A data-driven intelligent forecasting-feedback calibration closed loop has been formed, which not only provides cost pre-audit during the design phase to prevent R&D waste, but more importantly, continuously calibrates and optimizes the supplier standard cost library through actual order cost data, enabling the system to have self-evolution capabilities and continuously improve cost management competitiveness. Attached Figure Description

[0059] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are merely exemplary, and those skilled in the art can derive other embodiments based on the provided drawings without creative effort.

[0060] Figure 1 This is a flowchart illustrating the method described in Embodiment 1 of the present invention.

[0061] Figure 2 This is a schematic diagram of the collaboration process between the brand owner and the supplier in the method described in Embodiment 1 of the present invention.

[0062] Figure 3 This is a framework diagram of the system described in Embodiment 2 of the present invention. Detailed Implementation

[0063] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0064] The concepts involved in this application will first be described with reference to the accompanying drawings. It should be noted that the following descriptions of various concepts are only for the purpose of making the content of this application easier to understand and do not constitute a limitation on the scope of protection of this application; furthermore, the embodiments and features in the embodiments of this application can be combined with each other unless otherwise specified. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0065] Example 1

[0066] like Figure 1 - Figure 2 As shown, this invention provides a method for obtaining quotes for clothing styles based on the SKU dimension, including the following steps:

[0067] S0. Cost pre-assessment during the design phase, specifically including:

[0068] S01. During the design phase of clothing styles, the brand client responds to the operation commands issued by the design end through the human-computer interaction interface to obtain the category information and component style information of the style. Among them, the category information and component style information include the category parameters and component style parameters directly selected by the design end from the preset pattern library standard parts list, as well as the category features and component style features automatically identified by the AI ​​image recognition module after the design end uploads the design draft image and performs visual feature analysis on the design draft. Component styles include extended component types such as peak lapels and pocket patterns.

[0069] S02. Based on the determined category information and component style information, the brand client searches the brand's own reference cost library, matches the standard components corresponding to the category and component style, and extracts the component reference cost corresponding to each standard component. The reference cost library is a standard pricing library formed in advance based on the industry category pattern library standard parts data sorting and combined with the company's internal historical production data marking training. It stores the basic cost data of each component after cost decomposition and the extended component combination cost data. The component reference cost reflects the benchmark material and processing cost of a specific component under standard process conditions.

[0070] S03. Based on the combination relationship between the standard components included in the style design scheme, the brand client sums up the reference costs of each extracted component to generate the overall reference cost price of the design scheme. The reference cost price is then presented in real time on the human-computer interaction interface of the design end, allowing designers to evaluate the economic feasibility of the design scheme during the design decision-making process. This enables the early screening of style schemes with costs exceeding the target threshold or unreasonable component configurations, thereby preventing the waste of design and development costs caused by subsequent design rework or component replacement.

[0071] S04. The system associates the reference cost price generated in step S03 with the unique identifier code of the garment style and stores it in the style master data. When the style enters the inquiry stage, when the brand client creates an inquiry form in step S1, the system reads the reference cost price from the style master data according to the brand's needs and settings, and loads it as a reference price field into the data structure of the inquiry form. This reference price will be displayed in the inquiry form interface subsequently distributed to the supplier's terminal, providing data reference for the supplier to understand the brand's cost expectations, and assisting the brand in comparing and analyzing the actual price when reviewing it later.

[0072] S1. The brand client creates and distributes SKU-level inquiry forms; specifically including:

[0073] S11. Determine the style of clothing to be quoted, specifically:

[0074] The brand client responds to the inquiry order creation request triggered by the user on the brand's human-computer interaction interface by retrieving and determining the clothing style to be inquired about from the brand's style database;

[0075] The clothing styles are those that have completed the cost pre-approval in the design stage and have been confirmed by the design department to enter the sample making stage. The system extracts the unique identifier code, style name, category, pattern characteristics and related design draft image information of the style from the style master data as the basic style information for the quotation.

[0076] S12. Receive the instruction to select the inquiry dimension for clothing styles, specifically:

[0077] The brand's client receives user requests for pricing dimensions for clothing styles through a human-computer interaction interface. Pricing dimensions include three modes: by style, by style / color SKC, and by style / color code SKU.

[0078] S121. Price inquiry is based on the entire garment style as the smallest unit, without distinguishing between color and size variations;

[0079] S122. Based on style and color, the smallest inquiry unit is SKC, which combines style and color. Different color variations are distinguished, but sizes are not.

[0080] S123. By style, color, and size SKU, the smallest unit for inquiry is the combination of style, color, and size, distinguishing all color and size variations;

[0081] When performing a creation operation, the system reads and applies the inquiry dimension selected when the brand client last created an inquiry, and uses this historical selection record as the default inquiry dimension for this creation, so as to reduce repetitive operations by users.

[0082] S13. SKU Inquiry Item Association and Configuration, specifically:

[0083] S131. If the inquiry dimension is selected as by style color code SKU, the human-computer interaction interface of the brand client responds to the user operation, dynamically loading and displaying the color selection interaction area and the size selection interaction area;

[0084] The color selection interactive area displays the color library preset in the brand's style database in the form of a drop-down box or multi-select list. The color library contains all the standard colors available for this style and their corresponding color codes.

[0085] The brand client responds to the user's checkbox operation in the color selection interaction area, selects at least one target color from the color library, and the system records the color code corresponding to each selected color.

[0086] S132. At the same time, the size selection interaction area displays the size group associated with the category to which the style belongs in the form of a drop-down selection box. The size group contains the standard size sequence preset by the category and its corresponding size code. The size sequence follows the established size group sorting rules of the category.

[0087] The brand client responds to the user's multi-selection operation in the size selection interaction area, requiring the user to select at least one target size from the size group, and the system records the size code corresponding to each selected size.

[0088] S133. After the brand client triggers the confirmation operation, the system performs a Cartesian product operation on the selected target color set and target size set, and combines each selected color with each selected size in pairs to generate at least one style color code SKU inquiry item.

[0089] Each style and color code SKU inquiry entry includes a style code, color code, size code, a unique SKU inquiry entry identifier generated by the system based on a timestamp and a random sequence, and the corresponding creation timestamp of the entry.

[0090] S134. After the system generates the SKU inquiry items for each color code, it displays the SKU inquiry item list in a table format on the brand client's human-computer interaction interface. The list is presented in a hierarchical structure of style, color, and size, with the size dimension strictly following the size group sorting rules for ascending or descending order.

[0091] After the brand client confirms that the SKU inquiry list is correct, it submits it. The system performs an integrity check on the list to ensure that each style and color code SKU inquiry item contains a non-empty style code, color code, and size code, and that the number of color and size selections meets the minimum configuration requirement of at least one. After the check passes, the style and color code SKU inquiry item is officially written into the inquiry form data structure, which serves as the data basis for the supplier terminal to quote prices by SKU.

[0092] S14. Request for Quotation (RFQ) creation, review and revision, and supplier distribution, specifically:

[0093] S141. Based on the clothing styles determined in step S11, the inquiry dimensions selected in step S12, and the SKU inquiry items configured in step S13, the brand client constructs a complete inquiry form data structure.

[0094] The inquiry form includes the inquiry number, creation timestamp, basic style information, inquiry dimension identifier, SKU inquiry item list, at least one pre-specified target supplier identifier, current status identifier, and version control information;

[0095] The inquiry dimension identifier records the dimension type selected in this creation. The system synchronously writes this dimension type into the user configuration cache of the brand client, which serves as the default inquiry dimension when the user creates an inquiry order next time, thus realizing the field memory function.

[0096] S142. After the inquiry form is constructed, the brand client performs a submission review operation. The system verifies the integrity of the inquiry form data. After the verification is passed, the status of the inquiry form is updated to "reviewed".

[0097] Once the application is approved, the system triggers integration flow 1 – creating a new inquiry form. The inquiry form data is distributed to at least one pre-designated supplier terminal through the integration platform. At the same time, an instruction is sent to the OMS system to drive the OMS to automatically create a sample order associated with the inquiry form, thus establishing a cross-system association between the inquiry form and the sample order.

[0098] S143. When a brand client adjusts an inquiry form that is already in the approved state based on business change requirements, a re-approval operation is performed on the human-computer interaction interface:

[0099] a. In response to the anti-review instruction, the system changes the status of the inquiry form to "cancelled" through integrated flow 2, resets the status of the inquiry form to "editable revision", and simultaneously synchronizes the status update instruction to the OMS system, suspending the subsequent processing of the associated sample form;

[0100] In the revision state, the brand client is authorized to perform add or delete operations on the style and color entries or style and color code entries in the inquiry form; the add operation allows new colors or sizes to be selected from the color library or size group of the style to expand the SKU inquiry entries, and the delete operation allows specific style and color combinations or style and color code combinations to be removed from the existing SKU inquiry entry list.

[0101] When a brand client triggers a deletion operation on a color or style code item while in revision mode, the system immediately invokes the data integrity verification module to check whether the item to be deleted already exists in the quotation data generated by the downstream supplier terminal based on this inquiry. If the associated quotation data is detected, the system immediately pushes a modal dialog box to the brand client's human-computer interaction interface, clearly stating: "Deleting a color or SKU will clear the relevant data in the corresponding quotation. Please operate with caution." This prompt requires the brand client to confirm a second time. Only after the brand client confirms to continue the deletion operation will the system remove the item and simultaneously trigger a cascading deletion mechanism to clear the corresponding data already entered in the quotation of the downstream supplier terminal.

[0102] b. After the brand client completes the addition, deletion or other revision of the items, it performs a resubmission for review; the system re-performs the integrity check on the revised inquiry form to ensure that the SKU inquiry item configuration meets the minimum configuration requirements described in step S13;

[0103] After verification, the status of the inquiry form is updated to "approved" again. The system re-executes the distribution operation based on the revised content of the inquiry form. Through the integration platform, the incrementally updated inquiry form data is synchronously pushed to each supplier terminal that has received the inquiry form, driving the supplier terminal to update the local quotation form data template and simultaneously sending a status update instruction to the OMS system to restore the processing flow of the associated sample order.

[0104] S2. The supplier terminal generates a quotation based on the inquiry form, calls the standard component cost library to calculate the quotation details for the SKU items, and after confirmation, updates the status to "quoted" and generates a quotation version record; specifically including:

[0105] S21. Quotation initialization generation, specifically:

[0106] S211. After receiving the inquiry data distributed by the brand client through the integration platform, the supplier terminal parses the inquiry number, basic style information, inquiry dimension identifier and SKU inquiry item list in the inquiry;

[0107] S212. The system automatically generates a quotation that is uniquely associated with the inquiry based on the parsing results. The quotation includes the quotation number, associated inquiry number, supplier identifier, creation timestamp, SKU quotation item list and current status identifier.

[0108] S213. The system sets the initial state of the quotation to pending quotation and presents the quotation editing page on the human-computer interaction interface of the supplier terminal. The structure of the SKU quotation item list corresponds one-to-one with the SKU inquiry item list of the inquiry form. Each SKU quotation item is initialized to a blank pending state.

[0109] S22. Calculation and Completion of Quotation Details Based on Standard Component Cost Library: Suppliers, according to the quotation requirements in the Request for Quotation (RFQ), perform the quotation detail entry operation on the supplier terminal; the calculation and completion process of the quotation details calls upon the enterprise's internal standard component cost library and regional production coefficient library to generate cost data for at least one SKU quotation item in the RFQ. In specific implementation:

[0110] S221. AI-assisted component disassembly, specifically:

[0111] Based on the design information of the sample garment, the supplier terminal calls the AI ​​image recognition module integrated into the system. The AI ​​image recognition module performs visual feature analysis on the design draft image or physical sample garment image of the sample garment, identifies the category features and component style features in the image, and automatically disassembles the finished sample garment into a list of standard components that constitute the style.

[0112] The standard parts list includes the part code, part name, part type identifier and its associated index in the standard parts cost library for each part. The supplier performs manual verification and fine-tuning based on the system's automatic identification results to confirm the final standard parts configuration scheme.

[0113] S222. Standard data packages are automatically retrieved, specifically:

[0114] The supplier terminal responds to the supplier's command to retrieve the standard data package triggered by the human-machine interface, and retrieves the standard data package associated with each standard component from the standard component cost library based on the standard component configuration scheme confirmed in step S221.

[0115] The system automatically retrieves data lists from the standard data package for materials of fabric type, including material name, unit, loss rate, width, weight, composition, and application area; retrieves data lists for materials of accessory type, including material name, unit, loss rate, and application area; retrieves data lists for other materials type, including material name, unit, loss rate, and application area; and retrieves data lists for special processes, including process name, location, loss rate, application area, tax-inclusive amount, and additional charges.

[0116] The pull operation follows the data lock status priority rule, prioritizing the retrieval of records in the locked state, and within the same locked state, retrieving the record with the latest last update time.

[0117] The process for building the standard component cost library is as follows:

[0118] a. Organize the pattern library of standard parts for each category in the apparel industry and establish a standard pattern structure system covering major categories such as tops, trousers, and skirts; for each category, identify and define the basic structural units that make up the garment as standard parts. Standard parts include basic units such as the body, sleeves, collar, placket, and pockets. Among them, the collar standard parts are further subdivided into subtypes such as notch collar, peak collar, and shawl collar, and the pocket standard parts are subdivided into subtypes such as patch pockets, welt pockets, and insert pockets. Assign a unique component code, geometric parameter template, and process feature label to each standard part;

[0119] b. Collect actual cost data from historical production orders within the enterprise. This data includes material consumption, processing time, outsourcing costs, and quality loss costs. The actual cost data is cleaned and categorized by product type, standard parts, fabric grade, and process complexity to create a labeled cost dataset. This labeled cost dataset is then used to train a machine learning model, establishing a mapping relationship between standard parts and cost elements, generating an internal standard pricing library. The standard pricing library stores the benchmark cost range and confidence scores for each standard part under different fabric specifications and process configurations.

[0120] c. Based on the standard pricing library, the cost of each standard component is broken down into fabric cost, accessory cost, processing cost, and management fee coefficient. Then, the standard components are combined and configured by combining peak lapels with specific pocket patterns and placket styles to form extended component combination schemes. The comprehensive cost of each extended component combination scheme is calculated, and the cost inheritance and correction relationship between the extended component and the standard components that constitute the extended component is established, forming a standard component cost library containing basic standard component cost data and extended component combination cost data. The standard component cost library supports cost query, combination simulation, and version management at the component level.

[0121] S223. Standard cost calculation, specifically:

[0122] The supplier terminal calculates the quotation details item by item according to the standard data package retrieved in step S222;

[0123] The quotation details should include at least the cost of fabric, accessories, other materials, special processes, and other expenses, all of which are inclusive of tax; the cost of special processes is obtained by summing its tax-inclusive amount with any additional charges.

[0124] The system sums up the price details of each list to generate a total price. The supplier makes minor adjustments to the total price based on actual production experience, correcting cost deviations caused by process complexity, material substitution, or special processing requirements, and calculates the standard cost.

[0125] S224. Total Price Calculation and Optimal Production Area Determination, specifically:

[0126] a. Based on the standard cost generated in step S223, the supplier terminal calls the current supplier's preset quotation multiplier. Examples of preset quotation multipliers include: 1.5 for mass production orders of basic styles; 1.8 for medium-volume orders of regular fashion styles; and 2.2 for orders of exquisite styles with complex designs and high craftsmanship requirements. The multiplier ranges from 1.3 to 3.0, with the specific value determined by the supplier based on the material cost ratio calculated from the standard component cost library, the labor cost level of the production area determined from the regional production coefficient library, and the order urgency coefficient indicated by the brand client in the inquiry form.

[0127] The standard cost is multiplied by the quotation multiplier to generate the total quotation, which is the tax-inclusive sales price quoted by the supplier to the brand owner.

[0128] b. At the same time, the system calls the regional production coefficient library to extract the regional codes, geographical coordinates and manufacturing coefficients of major production regions across the country stored in the regional production coefficient library; the manufacturing coefficient is a dimensionless value that comprehensively reflects the cost difference ratio of a specific production region relative to the benchmark production region in terms of labor, energy, logistics and management costs.

[0129] The supplier terminal uses the standard cost generated in step S223 as the benchmark input, and performs a weighted multiplication operation with the manufacturing coefficient of each production region in the regional production coefficient library to calculate the theoretical regional cost of the SKU inquiry item in each production region; the formula for calculating the theoretical regional cost is: theoretical regional cost = standard cost × regional manufacturing coefficient;

[0130] The system sorts and compares the theoretical regional costs of each production area in ascending order, and identifies several candidate areas with the lowest theoretical regional costs. Then, the system conducts a multi-dimensional evaluation based on the capacity saturation, delivery cycle requirements and historical cooperation ratings of each candidate area, and selects the target production area with the best overall production cost and that meets the delivery requirements from the candidate areas as the optimal production area.

[0131] c. The supplier terminal associates the total quotation value with the region code of the optimal production area and writes it into the data structure of the corresponding SKU quotation entry. The SKU quotation entry now includes the SKU inquiry entry identifier, standard cost, quotation multiplier, total quotation, optimal production area code, and theoretical region cost distribution information.

[0132] In the quotation summary table on the supplier terminal human-computer interaction interface, the system displays the total quotation corresponding to each SKU inquiry item, and displays the optimal production area recommendation results and cost comparison analysis of each region for the SKU in the details view, so that the supplier can make a final check before confirming the quotation.

[0133] The process for constructing the regional production coefficient database is as follows:

[0134] a. Collect production and operation data from major production areas across the country. The production and operation data includes the hourly wage standard for labor, industrial electricity price, factory rental cost, logistics and transportation rate, tax policy parameters, and industrial support maturity indicators for each region. Normalize the production and operation data, remove outliers and seasonal fluctuations, and establish a regional production basic database.

[0135] b. Construct a manufacturing coefficient calculation model that comprehensively considers labor cost coefficient, energy cost coefficient, logistics cost coefficient, and policy dividend coefficient. The labor cost coefficient is calculated based on the proportion of skilled workers and average wage level in each region, the energy cost coefficient is calculated based on fluctuations in electricity and fuel prices, the logistics cost coefficient is calculated based on transportation distance and mode of transportation from the main sales market, and the policy dividend coefficient is calculated based on local tax incentives and industry subsidies.

[0136] c. Input the normalized production and operation data of each region into the manufacturing coefficient calculation model to calculate the manufacturing coefficient of each region relative to the benchmark production region. The manufacturing coefficient is expressed as a dimensionless value, reflecting the cost ratio of producing the same garment in a specific region relative to the benchmark region. The regional code, geographical coordinates, manufacturing coefficient and applicable product category of each region are associated and stored to form a regional production coefficient library.

[0137] d. Establish a dynamic update mechanism for the regional production coefficient database, regularly collect the latest production and operation data of each region, recalculate the manufacturing coefficients and update the data in the database; at the same time, combine the actual production cost feedback data of garment orders to calibrate the accuracy of the coefficients in the regional production coefficient database, correct the coefficient deviations caused by changes in the regional economic environment, and ensure that the regional production coefficient database can truly reflect the current production cost differences in each region.

[0138] S23. Confirm the quote and status update, specifically:

[0139] After the supplier completes the editing of the quotation details for at least one SKU inquiry item, the supplier performs a quotation confirmation operation on the supplier terminal human-machine interface; the system responds to the quotation confirmation instruction, verifies the integrity of the quotation data, and ensures that all required fields for each SKU quotation item have been filled in; after the verification is passed, the system updates the status of the quotation from pending quotation to quotation completed, and synchronizes the status change to the integration platform through integration flow 3 - update quotation, driving the integration platform to push a quotation completion notification to the brand client through integration flow 4 - status change.

[0140] S24. Quotation version record generation, specifically:

[0141] As soon as the quotation status is updated to "Quoted", the system triggers the version control module to generate a quotation version record for this quotation confirmation operation. The quotation version record includes the confirmation date, which is an eight-digit number in the format of year, month and day, and a unique serial number, which is a two-digit sequential number. The confirmation date and serial number are combined to form the version number, which is in the format of confirmation date + 2-digit serial number. This version number is kept unique within a single quotation. The system writes the version number, version status identifier, creation timestamp, and quotation data snapshot associated with the version to the quotation record storage area, and displays the version number and the corresponding status identifier on the left side of the quotation interface.

[0142] S25. Quoted status is locked, specifically:

[0143] a. When a quotation is in the "quoted" state, the system activates a data locking mechanism, setting all input fields, editing controls, and data modification interfaces on the quotation page to an uneditable state; the supplier's terminal's human-computer interaction interface hides the quotation details editing entry, retaining only the functions of viewing quotation information, viewing quotation records, and displaying the operation results of the brand client; the locking mechanism ensures that the confirmed quotation data remains unchangeable until the brand client completes its review, in order to maintain the seriousness of the quotation and data consistency.

[0144] b. The system includes a negotiation option in the quotation, with the default setting being "no". When the brand client selects to enable negotiation during the review process, the system sends a negotiation enable command to the supplier terminal. The final confirmed price field for the corresponding SKU inquiry item in the quotation changes from read-only to editable. The supplier terminal responds to this command by displaying a negotiation editing entry on the human-computer interaction interface, allowing the brand and supplier to conduct multiple rounds of negotiation on the price of each SKU inquiry item. The negotiated final confirmed price is written into the quotation version record after confirmation by both parties, serving as the benchmark price for subsequent order settlement. The adopted price field displayed in the list interface extracts the final confirmed price of the style dimension when inquiring by style color or style color code.

[0145] S2A. In addition to the quotation generation process described in S21-S25 above, the supplier terminal's quotation editing interface also provides a quick quotation mode switch, which is off by default. Specifically:

[0146] a. When a supplier triggers the quick quote mode, the system displays a modal dialog box prompting: "After opening, detailed costs will be cleared; you can directly edit the quote table for quick editing." After the supplier confirms, the system performs the following operations: clears the currently entered quote details, including fabric costs, accessory costs, other material costs, special process costs, and other costs; hides the editing area of ​​the quote details table, locking this area to a non-editable state; hides the tax field; and displays a quote summary table at the bottom of the interface based on style or color. The quote summary table allows suppliers to directly enter the total quote value for different SKU inquiry items; the total quote is determined by the value directly entered by the supplier and is no longer calculated by summing the detailed costs.

[0147] b. When a supplier triggers the shutdown of the quick quotation mode, the system will display a modal dialog box prompting: "After shutdown, the relevant data in the quotation table will be cleared. The detailed costs below will be automatically calculated." After the supplier confirms, the system will perform the following operations: clear the data already entered in the quotation summary table; restore the editing area of ​​the quotation detail table to editable status; redisplay the tax field; the supplier needs to re-enter all costs in the quotation detail table, and the system will automatically sum and calculate the total quotation based on the entered fabric and accessories, other materials, special processes and other costs, and multiply the total quotation by a multiplier to generate the final quotation.

[0148] S3. The brand client performs actions on the submitted quotations. If rejected, the status is updated to "Rejected" and resubmission based on the quotation version record is allowed. If accepted, the status is updated to "Accepted." Specifically, this includes:

[0149] S31. Quotation review decision-making and comprehensive evaluation of historical performance, specifically:

[0150] S311. The brand client can retrieve and view quotations with a status of "quoted" through the human-computer interaction interface. The system obtains the quotation data and version information submitted by the supplier terminal from the integration platform through integration flow 4 - status change. On the quotation review interface of the brand client, the system displays the detailed content of the quotation in a multi-dimensional view, including the total quotation of each SKU inquiry item, the optimal production area, the standard cost composition, and the quotation version record.

[0151] S312. When the brand client is ready to execute an adoption, rejection, or non-adoption action, the system automatically calls the supplier's historical performance database, extracts and comprehensively displays the supplier's historical performance data. The historical performance data includes the historical on-time delivery rate, which is the proportion of on-time delivered orders in the supplier's past orders to the total number of orders; historical delivery quality, which is the quality score calculated based on the incoming material inspection pass rate, finished product sampling pass rate, and return rate; and historical cooperation information, which is the cooperation rating based on the sampling response time, communication feedback efficiency, and willingness to accept urgent orders. The brand client combines the matching of historical performance data with the current quotation level to trigger the operation instruction of adoption, rejection, or non-adoption.

[0152] S32. Rejection procedures and version iteration processing, specifically:

[0153] S321. If the brand client executes a rejection operation, the system responds to the rejection instruction by updating the status of the quotation from "quoted" to "rejected." At the same time, the system presents a rejection reason entry interface to the brand client. The interface provides preset rejection reason options and a custom text input box. After the brand client enters the rejection reason, the system records the rejection reason, the operator's identity information, the operation timestamp, and the rejected version number in the quotation version record. The status of that version in the quotation version record is updated to "rejected."

[0154] S322. The system integrates flow 4 – status change, to synchronize status updates to the supplier terminal and OMS system in real time. After receiving the status change of rejection, the supplier terminal highlights the rejection mark on the human-machine interface, allowing the supplier to view the reason for rejection and the operator information. In the rejected state, the system unlocks the editing permission of the quotation, allowing the supplier terminal to re-trigger the quotation process based on the rejected quotation version record, that is, to re-execute steps S21 to S24, generate a new quotation version with a new confirmation date and a new serial number, and resubmit it to the brand client for review.

[0155] S33. Adopt operational and electronic approval processes, specifically:

[0156] S331. If the brand client executes the adoption operation, the system first verifies whether the current quotation meets the preconditions for adoption, including that the quotation status must be quoted and there are no unprocessed negotiation records; after verification, the system triggers the preset electronic approval process associated with the quotation; the electronic approval process is configured according to the brand client's internal organizational structure and flows sequentially to the purchasing manager, cost accounting department and financial approval node, and each approval node completes the approval through electronic signature or system confirmation operation.

[0157] S332. During the execution of the electronic approval process, the quotation status remains "under approval," and the system locks the quotation, prohibiting any modification operations. If any node in the electronic approval process fails to pass approval, the system returns to the brand client and restores the quotation status. If all nodes in the electronic approval process pass approval, the system updates the status of the quotation to "accepted," and through Integration Flow 4 - Status Change, synchronizes the status update to the integration platform, driving the OMS system to update the status of the associated sample order to "quote accepted," and simultaneously triggers the subsequent garment order generation process. The "accepted" status indicates that the brand and the supplier have reached a preliminary cooperation intention on the quotation and have entered the fulfillment preparation stage.

[0158] S333. When the adoption operation needs to be cancelled while the adoption status is already adopted, the brand client executes the cancellation of adoption quotation operation. The system updates the quotation status to pending review through integration flow 5 - cancellation of adoption status change, and synchronously updates the status of the associated documents on the OMS side.

[0159] S34. Operations and states that are not adopted are terminated, specifically:

[0160] If the brand client executes the "not adopted" action, the system responds by updating the status of the quotation from "quoted" to "not adopted." The "not adopted" status is the final status, and the system locks the quotation, prohibiting any editing, requoting, or status change operations. The system marks this version as "not adopted" in the quotation version record and records the operator and operation time, but does not allow the supplier terminal to regenerate a new version based on this version. The brand client can filter quotations with the "not adopted" status in the list view for archive management, and these quotations will no longer participate in subsequent inquiry and quotation business processes.

[0161] S4. After the order associated with the quotation is completed, calibrate the standard component cost library based on the actual production cost data, specifically including:

[0162] S41. Collection of actual production cost data, specifically:

[0163] After the quotation is updated to "accepted" in step S33, the system drives OMS to automatically generate the associated garment order and send it to the production execution system. When the production tasks corresponding to the garment order are confirmed to be completed by the production execution system, and the supplier and the brand have completed the payment settlement and cost accounting in the financial system, the system triggers the cost data collection process.

[0164] S411. The system establishes secure data connections with the production execution system and the financial system respectively through the preset ESB enterprise data bus or standardized API application interface; it extracts the actual material requisition records, standard process actual working hours records, process outsourcing actual completion records and quality loss records of the garment order at each production station from the production reporting module of the production execution system; and it extracts the actual raw material purchase invoices, processing fee settlement vouchers, manufacturing cost allocation calculation sheets and finished product cost calculation sheets of the garment order from the cost accounting module of the financial system.

[0165] S412. The system cleans, deduplicates, and standardizes the extracted multi-source heterogeneous raw data, and aggregates and maps it according to the cost item structure consistent with step S222 to generate structured actual production cost data. The actual production cost data is strictly subdivided and aggregated according to the SKU dimension to ensure that it corresponds one-to-one with the SKU inquiry items in the quotation, specifically including:

[0166] Actual fabric consumption cost includes the product of the weighted average unit price of the actual fabric and lining consumed by each SKU and the actual net consumption quantity, as well as the utilization rate correction cost caused by the difference between the actual width and the theoretical width.

[0167] Actual cost of auxiliary materials, including the actual purchase and warehousing cost of auxiliary materials such as buttons, zippers, sewing thread, and lining, as well as the cost of production loss amortization;

[0168] Actual costs of other materials include the actual consumption of auxiliary packaging materials such as packaging bags / boxes, labels, hang tags, and anti-theft tags;

[0169] Actual special process costs include the actual settlement amount for outsourced processing of special process steps such as water washing, sand washing, enzyme washing, printing, embroidery, and wrinkling, as well as the actual amount of additional costs incurred as described in step S222.

[0170] Actual processing and manufacturing costs include the actual labor costs and equipment depreciation costs for standard processes such as cutting, sewing, buttonhole sewing, ironing and pressing, and finished product inspection.

[0171] Actual energy management costs include the weighted average of the actual energy consumption costs (water, electricity, steam, gas, etc.) incurred during the production process, allocated to each SKU based on actual working hours.

[0172] S413. The system establishes a unique mapping relationship between the actual production cost data and the SKU quotation items in the quotation sheet. It performs precise matching through the SKU quotation item identifier to ensure that the actual cost data and the cost details data generated in step S222 maintain consistency in data structure in terms of SKU dimension, cost item dimension and unit of measurement. The collected actual production cost data is written into the cost calibration database to establish a standardized data foundation for the difference comparison analysis in step S42.

[0173] S42. Cost variance comparison analysis, specifically:

[0174] S421. The system will accurately match and align the actual production cost data of the garment order obtained in step S41 with the cost details data used in the adopted quotation in step S33 at the SKU dimension. The cost details data include the quotation details pulled and calculated from the standard component cost library in step S222, which specifically covers fabric costs, accessory costs, other material costs, special process costs and other costs, as well as the total quotation calculated in step S223 and the standard cost, the total quotation calculated in step S224 and its associated optimal production area code.

[0175] S422. The system performs item-by-item comparative analysis, calculating the absolute difference and relative deviation rate between the actual value and the estimated price of each cost factor for each SKU inquiry item. The absolute difference is the difference between the actual production cost and the corresponding price quote, and the relative deviation rate is the ratio of the absolute difference to the corresponding price quote multiplied by 100%. Specifically, the system calculates the fabric cost deviation for fabric costs, the auxiliary material cost deviation for auxiliary material costs, the outsourcing cost deviation for special process costs, and the comprehensive cost deviation for other material costs and management expenses.

[0176] S423. The system identifies abnormal cost items whose deviations exceed the normal fluctuation range based on preset deviation threshold rules. The preset deviation threshold rules include the relative deviation rate threshold and the absolute difference threshold for individual cost factors. When the relative deviation rate of any cost factor exceeds 15 percent or the absolute difference exceeds the preset amount threshold, the system automatically marks the item as an abnormal cost item.

[0177] S424. The system performs root cause analysis on the identified abnormal cost items. Combining the standard data package records retrieved in step S222 with the actual production process parameters collected in step S41, the system distinguishes the types of deviations as material cost deviations caused by raw material price fluctuations, processing cost deviations caused by process changes, consumption deviations caused by loss rate estimation errors, or systematic deviations caused by regional production coefficient drift.

[0178] S425. The system generates a difference analysis report, which includes a detailed cost comparison table for each SKU inquiry item, statistical charts of the difference distribution of each cost factor, a list of abnormal cost items and their root cause classification labels, and a comprehensive confidence assessment index reflecting the overall accuracy of this quotation. The difference analysis report is stored in the cost calibration database as the data basis for performing calibration updates in step S43.

[0179] S43. Dual-Library Calibration and Parameter Update: The system analyzes the difference analysis report generated in step S42, extracting the relative deviation rate, absolute difference, and root cause classification labels between the actual values ​​and estimated prices of cost factors at each SKU level; the system triggers calibration processes for the standard component cost library and the regional production coefficient library based on the difference data; specifically:

[0180] S431. For the standard component cost library, the system traces back to the style information corresponding to the garment order through the SKU inquiry item identifier, and then associates it with the standard component list confirmed by AI image recognition in step S221 and the cost benchmark value of each component called in step S222; the system performs differential calibration according to the deviation root cause type identified in step S42:

[0181] If the root cause is classified as raw material price fluctuation or loss rate estimation error, the fabric cost benchmark value and accessory cost benchmark value of the corresponding component code in the standard component cost library will be corrected. The weighted moving average algorithm will be used to integrate the historical benchmark value and the actual cost data of this time to calculate and generate a new material cost benchmark.

[0182] If the root cause is classified as process change or processing efficiency deviation, the processing cost benchmark value for the corresponding component code is corrected. The posterior cost benchmark is derived by combining the prior cost distribution with the current observation data using the Bayesian update algorithm.

[0183] For extended components formed by combining multiple basic components, the system synchronously updates their combined cost data to ensure logical consistency between the cost of the extended component and the sum of the costs of the basic components that constitute the extended component.

[0184] S432. For the regional production coefficient database, the system extracts the actual production region code of the garment order recorded in step S42, and compares the systematic deviation between the theoretical regional cost and the actual regional cost of the same style in different production regions. If multiple garment orders show a significant deviation in the same direction in a specific region, and the root cause analysis in step S42 determines it to be regional production coefficient drift, then the system performs regression calibration on the manufacturing coefficient under the regional code. The manufacturing coefficient includes labor cost coefficient, energy cost coefficient, logistics cost coefficient, and policy dividend coefficient. The system uses a multiple linear regression or exponential weighted moving average algorithm to adjust the weight of each component coefficient according to the degree of deviation between the actual cost and the theoretical cost, and generates an updated manufacturing coefficient that reflects the current real production economic conditions of the region.

[0185] S433. When performing calibration updates, the system calls the preset calibration rule engine for compliance verification. The preset calibration rules include a single deviation rate threshold rule, which means that the baseline update is only triggered when the relative deviation rate exceeds 5% and the number of sample orders reaches the statistical significance requirement, and a rate of change limit rule, which means that the magnitude of a single calibration adjustment must not exceed the preset percentage limit to prevent data oscillation. The system supports automatic batch update mode and manual review intervention mode: In automatic batch update mode, data that meets the calibration rules will be automatically written into the standard component cost library and regional production coefficient library and replace the historical baseline value; In manual review intervention mode, the system pushes the calibration recommendation value, deviation root cause analysis and confidence assessment to the person in charge of cost management, and executes the write operation after manual confirmation.

[0186] After calibration is completed, the system generates a calibration log record, which includes the updated part code, area code, comparison of the baseline values ​​before and after calibration, the calibration algorithm identifier used, the associated garment order number and timestamp, and stores the calibration log and version update information synchronously to ensure that the subsequent step S44 can call the latest baseline data calibrated this time.

[0187] S44. Calibration result feedback and benchmark update, specifically:

[0188] The system deploys the standard component cost library and regional production coefficient library, which have been calibrated and updated in step S43, to the production environment as a new calculation benchmark in the subsequent quotation process. When the supplier terminal calls the standard component cost library and regional production coefficient library in the subsequent step S22, the system automatically references the calibrated component cost benchmark value and manufacturing coefficient to calculate the quotation details. At the same time, the system records the calibration update version number, update timestamp, and change summary to the cost library version log, forming a complete data closed loop from quotation estimation to actual cost feedback and then to cost library optimization, continuously improving the accuracy of subsequent quotation and cost prediction.

[0189] Example 2

[0190] like Figure 3 As shown, a system for implementing a SKU-based method for querying and quoting clothing styles includes:

[0191] The brand client module is used to create multi-dimensional inquiry forms, manage quotation status, and execute approvals; specifically:

[0192] This module is deployed on the brand's internal network, providing a human-computer interaction interface and business processing entry point for the brand's purchasing, finance, and management personnel. In the inquiry creation stage, the module responds to the purchasing personnel's operations, supporting the selection and configuration of three inquiry dimensions: by style, by style color, and by style color code SKU. When selecting the style color code SKU dimension, it mandates that at least one color and one size be selected to form an SKU inquiry item, while automatically remembering the user's last selected inquiry dimension as the default option. In the inquiry management stage, the module supports reversing the approval of approved inquiry items to enter the revision state. In the revision state, it allows adding or deleting style color or style color code items, and issues a warning to the user when performing a deletion operation to prevent downstream quotation data from being mistakenly deleted. In the quotation review stage... The module receives quotations submitted by supplier terminals and comprehensively displays the supplier's historical performance data, including historical on-time delivery rate, historical delivery quality, and historical cooperation information. It supports accepting, rejecting, or not accepting quotations. When an acceptance operation is performed, a preset electronic approval process is triggered, and the quotation status is updated to "accepted" after approval. When a rejection operation is performed, the reason for rejection and the operator's information are recorded, and the supplier is allowed to regenerate a new quotation version based on the rejected version. When a non-acceptance operation is performed, the quotation process is terminated. In addition, the module also integrates a cost pre-approval function in the design stage. Responding to the operation on the design end, based on the selected category and component style information or the category and component style information determined by AI image recognition of the design draft, it matches the component reference cost from the brand's own reference cost library and generates a reference cost price for the design scheme.

[0193] The supplier terminal module is used to receive quotations, execute quotation operations (including invoking the intelligent pricing function), and process status feedback; specifically:

[0194] This module is deployed on the supplier side, receiving inquiry data distributed by brand clients through an integration platform, and automatically generating quotations initially in a state of pending quotation. During the quotation execution phase, the module calls upon the company's internal standard component cost library and regional production coefficient library to calculate detailed quotations for the SKUs in the inquiry. Specifically, this includes using AI image recognition technology to disassemble finished sample garments into standard components, automatically retrieving lists and attributes of fabrics, accessories, other materials, and special processes in response to a standard data package request, summing the quotations based on the detailed quotations for each list to calculate the total quotation, manually fine-tuning to obtain the standard cost, calculating the total quotation based on a preset multiplier, and automatically calculating the optimal production region using manufacturing coefficients from the regional production coefficient library. The module also provides a quick quotation mode switching function. In the default off state, it allows itemized entry of detailed costs and automatically calculates the total price. In the on state, it clears detailed costs and allows direct editing of the total price list while locking the detailed cost list to an uneditable state. After completing the editing of the price details, in response to the price confirmation operation, the price list status is updated to "quoted", a price version record containing the confirmation date and serial number is generated, and the price list page content is locked to make it uneditable. The module also supports negotiation function configuration. When the brand client enables negotiation, the final confirmed price field of the corresponding SKU inquiry item becomes editable to support negotiation to determine the transaction price. In the status feedback stage, the module receives rejection or acceptance status changes from the brand client. In the rejection state, it allows re-triggering the price quotation process based on the rejected version to generate a new price version.

[0195] The core service module handles the generation, storage, status transition logic, and version management of inquiry and quotation forms, as well as data interaction with the enterprise's internal standard component cost library and regional production coefficient library; specifically:

[0196] This module is deployed on the server side, serving as the central hub for the entire system's business logic processing. Regarding document processing, this module is responsible for defining the data structure, generating unique identifiers, managing the lifecycle, and persistently storing data for inquiry and quotation forms. It implements full-process state machine management for inquiry forms, from creation, review, distribution, unreviewed revisions to status termination, and controls the status transition of quotations from initialization, pending quotation, quotation already quoted, under review, accepted, rejected, and unaccepted. In terms of version management, this module generates an immutable quotation version record for each confirmed quotation operation. The version number uses a combination of the confirmation date and a two-digit serial number, maintaining uniqueness within a single quotation form, and records the creation timestamp and status of each version. The module includes identification and operator information. Regarding cost database interaction, it maintains an internal standard component cost database and a regional production coefficient database. The standard component cost database is based on industry category pattern libraries and standard components, combined with internal data labeling and training. It supports cost breakdown and combination for extended components such as lapel collars and pockets. The regional production coefficient database stores manufacturing coefficients from major production regions across the country to calculate the optimal production region. Furthermore, the module also handles actual cost feedback calibration logic. After a garment order is completed, it obtains actual production cost data and compares it with the estimated price to analyze the difference. It then dynamically updates the component cost benchmark values ​​in the standard component cost database and the manufacturing coefficients in the regional production coefficient database according to preset calibration rules.

[0197] The data integration module is used for data synchronization with external platforms such as OMS and design systems; specifically:

[0198] This module acts as a hub for data exchange between systems, enabling cross-system data interaction through a pre-defined ESB enterprise data bus or standardized API application interface. Regarding integration with the OMS system, the module uses integration flow 1 to drive the OMS to automatically create a sample order after the Request for Quotation (RFQ) is approved; integration flow 2 to synchronize status updates when the RFQ is rejected or cancelled; integration flow 3 to receive and forward quotation data when the supplier updates the quotation; integration flow 4 to synchronize quotation status changes when the brand client performs acceptance, rejection, or non-acceptance operations; and integration flow 5 to perform status rollback when the acceptance operation is cancelled. Regarding integration with the design system, the module supports obtaining category information, component style information, and design draft image data of clothing styles from the design system to support the brand client module in cost pre-review during the design phase. Furthermore, the module connects the production execution system and the financial system to obtain actual production cost data for garment orders for subsequent cost database calibration and optimization, achieving end-to-end data connectivity from design, RFQ, quotation to production fulfillment.

[0199] As can be seen from the above description, the embodiments of the present invention achieve the following technical effects:

[0200] This invention achieves a significant leap in apparel price inquiries, moving from the style level to the SKU level, thus addressing industry pain points such as vague cost accounting and insufficient decision-making basis. Traditional price inquiries only focus on the style dimension, masking cost differences between different colors and sizes of the same style. This invention refines the core granularity of price inquiries and quotations to the style, color, code, and SKU level, enabling brands to obtain accurate quotations based on the smallest sales unit. This not only provides unprecedentedly detailed data support for brands' cost analysis, supplier selection, and final procurement decisions, avoiding cost distortion or profit misjudgment caused by averaged quotations, but also promotes more rigorous and evidence-based supplier quotation calculations, improving cost transparency and management accuracy throughout the entire supply chain from the source.

[0201] A rigorous and traceable quotation state machine and versioned collaborative process were constructed, overcoming the challenges of chaotic states and uncontrollable processes in multi-party online collaboration. This invention defines a complete state machine including states such as "pending quotation," "quoted," "rejected," "accepted," and "not accepted," and stipulates strict flow logic. In particular, the data locking in the "quoted" state, the binding of the "rejection-requote" process with version records, and the mandatory closed loop of business logic form. This mechanism ensures that every quotation interaction is traceable, and any state change requires predetermined operations, eliminating disputes and inefficiencies caused by information asynchrony or arbitrary modifications in traditional methods. This establishes an efficient, transparent, and clearly defined digital collaborative paradigm between brands and suppliers, significantly improving the efficiency and reliability of business negotiations and order confirmation.

[0202] This invention establishes a data-driven closed loop from intelligent forecasting to feedback calibration, solving two niche technical problems: uncontrolled design costs and static, rigid cost libraries. Cost management is integrated throughout the entire product lifecycle. In the design phase, rapid cost pre-assessment is conducted by accessing the brand's own reference library, enabling designers to avoid high-cost design directions in advance, shifting from post-cost pricing to pre-cost design. During the supplier quotation phase, AI-powered breakdown of styles is used to access their standard library, combined with regional coefficients for intelligent pricing, improving the scientific rigor of quotations. Most importantly, after order completion, the system automatically collects actual production cost data and compares it with the original quotation data to calibrate and optimize the supplier's own standard component cost library. This quotation-production-feedback-optimization closed loop endows the entire system's cost accounting capabilities with self-learning and continuous evolution, fundamentally enhancing the long-term cost competitiveness and rapid market response capabilities of the supply chain.

[0203] The embodiments and / or implementation methods described above are merely preferred embodiments and / or implementation methods for implementing the technology of the present invention, and are not intended to limit the implementation methods of the technology of the present invention in any way. Any person skilled in the art can make some modifications or alterations to other equivalent embodiments without departing from the scope of the technical means disclosed in the present invention, but these should still be regarded as the technology or embodiments that are substantially the same as the present invention.

[0204] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. The above descriptions are only preferred embodiments of this application. It should be noted that due to the limitations of written expression, while there are objectively infinite specific structures, those skilled in the art can make several improvements, modifications, or changes without departing from the principles of this application, and can also combine the above technical features in an appropriate manner. These improvements, modifications, changes, or combinations, or the direct application of the inventive concept and technical solution to other situations without modification, should all be considered within the scope of protection of this application.

Claims

1. A method for requesting and quoting prices for clothing styles based on SKU dimension, characterized in that, include: The brand client creates and distributes quotations that support the SKU dimension; The supplier terminal generates a quotation based on the inquiry form, calls the standard component cost library to calculate the quotation details for the SKU items, and after confirmation, the status is updated to "quoted" and a quotation version record is generated. The brand client performs an operation on the quoted price. If rejected, the status is updated to "Rejected" and a re-quote is allowed based on the quoted price version record. If accepted, the status is updated to "Accepted". After the order associated with the quotation is completed, the standard component cost library is calibrated based on the actual production cost data.

2. The method for querying and quoting clothing styles based on SKU dimension according to claim 1, characterized in that, It also includes cost pre-audit during the design phase, specifically including: During the design phase of clothing styles, the brand client responds to the operations on the design end and matches the corresponding component reference cost from the brand's own reference cost library based on the selected category and component style information, or the category and component style information determined by AI image recognition of the design draft. The reference costs of the aforementioned components are combined to generate a reference cost price for the design scheme, which is then provided to the design team for design decision-making. The reference cost price is associated with and stored with the clothing style. When creating a request for quote for a style later, the reference cost price is loaded into the request for quote as needed by the brand, serving as a reference quote to be shown to the supplier.

3. The method for querying and quoting clothing styles based on SKU dimension as described in claim 1, characterized in that, The brand client creates and distributes SKU-level inquiry forms, specifically including: In response to the inquiry request from the brand's client, determine the clothing style to be inquired about; Receive a query dimension selection instruction for the clothing style, wherein the query dimension includes by style, by style color, and by style color code SKU; If the inquiry dimension is selected as by style color code SKU, then in response to the operation of the brand client, at least one color and one size are selected for the style color code SKU to form at least one SKU inquiry item; The created inquiry form includes the aforementioned inquiry dimensions and corresponding SKU inquiry items. After the inquiry form is reviewed and revised, it is distributed to at least one pre-designated supplier terminal.

4. The method for querying and quoting clothing styles based on SKU dimension according to claim 3, characterized in that, The process of reverse reviewing and revising the inquiry form specifically includes: The brand client performs a reverse review operation on the approved inquiry form, resetting the status of the inquiry form to an editable revision status; In the revision state, it is possible to add or delete style or style code entries in the inquiry form; When the system deletes a style or style code entry, it sends a notification to the brand client, warning that the deletion will result in the data of the corresponding entry being cleared in the subsequent quotation generated based on this inquiry. After the revision is completed and the document is resubmitted for review, the system will perform the distribution operation based on the revised Request for Quotation content.

5. The method for querying and quoting clothing styles based on SKU dimension according to claim 4, characterized in that, The supplier terminal generates a quotation based on the inquiry form, calls the standard component cost library to calculate the quotation details for the SKU items, and after confirmation, updates the status to "quoted" and generates a quotation version record, specifically including: Based on the received inquiry, the supplier terminal generates an associated quotation and sets the initial status of the quotation to pending quotation. Based on the quotation requirements of the quotation form, the supplier calls upon the company's internal standard component cost library and regional production coefficient library to calculate and fill in the quotation details for at least one SKU quotation item in the quotation form; After the quotation details are edited, in response to the supplier's confirmation of the quotation, the status of the quotation is updated from pending quotation to quotation received; When the status is updated to "quoted", a quotation version record is generated for this quotation confirmation operation. The quotation version record includes the confirmation date and a unique serial number. When the quotation is in the "quoted" state, the system locks the page content of the quotation, making it uneditable.

6. The method for querying and quoting clothing styles based on SKU dimension according to claim 5, characterized in that, The process of accessing the company's internal standard component cost library and regional production coefficient library to calculate and fill in the quotation details for at least one SKU in the quotation request form specifically includes: Based on the design information of the sample garment, AI image recognition technology is used to disassemble the finished sample garment into standard components; In response to the instruction to retrieve the standard data package, the system automatically retrieves the list and attributes of materials of the type fabric, accessories, and other materials, as well as the list of special processes, from the standard data package associated with the style standard component in the standard component cost library. The total price is calculated by summing the price details of each item in the standard component cost library. The price details should include at least the cost of fabric, accessories, other materials, special processes, and other costs. The standard cost can be calculated by making minor adjustments to the total price based on experience. The total price is obtained by multiplying the standard cost by a preset multiplier, and then automatically calculating the optimal production region by combining the manufacturing coefficients corresponding to different production regions in the regional production coefficient library.

7. The method for querying and quoting clothing styles based on SKU dimension according to claim 6, characterized in that, The generated quotation also provides a quick quotation mode, which is disabled by default. When the quick quote mode is enabled, the system clears the quote details and allows suppliers to directly fill in the total quote for different SKU inquiry items in the quote summary table, while locking the quote details table into an uneditable state. When the quick quote mode is turned off, the quote summary table data is cleared, and the quotes are automatically generated based on the quote details.

8. The method for querying and quoting clothing styles based on SKU dimension according to claim 1, characterized in that, The price quote includes a negotiation option. When the brand client selects to enable negotiation, the final confirmed price field of the corresponding SKU inquiry item in the quotation becomes editable, allowing the brand to negotiate and confirm the final transaction price with the supplier.

9. The method for querying and quoting clothing styles based on SKU dimension according to claim 1, characterized in that, The brand client performs operations on the quoted price list that has already been quoted, specifically including: The brand client executes instructions to accept, reject, or not accept the quotation that is in the status of "quoted"; If a rejection operation is performed, the system will update the status of the quotation to rejected and record the reason for rejection and the operator's information in the quotation version record. The rejected status allows the supplier terminal to view the rejection information and re-trigger the quotation process based on the rejected quotation version record to generate and submit a new quotation version. If the adoption operation is performed, the system triggers the preset electronic approval process associated with the quotation. If the electronic approval process is successful, the system updates the status of the quotation to "adopted". If the "not adopted" operation is executed, the system will update the status of the quotation to "not adopted," which is the final status.

10. A method for querying and quoting clothing styles based on SKU dimension according to claim 5, characterized in that, After the order associated with the quotation is completed, the standard component cost library is calibrated based on actual production cost data, specifically including: After the garment order associated with the quotation is completed and settled, the system obtains the actual production cost data of the garment order from the production execution system or the financial system. The actual production cost data is compared and analyzed with the cost details used in the adopted quotation, and the difference between the actual value and the estimated value of each cost factor is calculated. Based on the analysis results of the differences, the corresponding component cost benchmark values ​​in the enterprise's internal standard component cost library and the manufacturing coefficients in the regional production coefficient library are calibrated and updated according to the preset calibration rules. The calibrated and updated standard component cost library and regional production coefficient library will be used as the new benchmark for subsequent quotation inquiries and calculations of quotation details.

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