AI-based Vietnam Manufacturer Matching ＆ Production Management Platform

Abstract

This invention relates to a Vietnam manufacturer matching platform: TheFactory – an AI-based Vietnam Manufacturer Matching & Production Management Platform. It constructs a big data database by crawling information on local Vietnamese manufacturers, and then recommends the optimal factory by analyzing the ordering company's product specifications, delivery times, and budgets using machine learning. Furthermore, it enables one-stop management of the entire process, from prototype production QC to logistics, through automated translation chat and a project dashboard. Through this, domestic companies can overcome language barriers and information scarcity issues to maximize the efficiency of manufacturing outsourcing, while Vietnamese manufacturers can expand new business opportunities, thereby promoting mutual benefits.

Description

Technology Field

[0001] The present invention belongs to the field of overseas manufacturing outsourcing and, in particular, relates to an online platform that supports matching and production process management between manufacturers (factories) located in Vietnam and domestic ordering companies by utilizing AI (artificial intelligence) technology and big data. Furthermore, the present invention relates to AI-based manufacturing outsourcing technology that helps domestic manufacturing companies efficiently carry out production activities in Vietnam by integrating data crawling, automatic translation, and project management. Background Technology

[0002] (1) Conventional technology and problems

[0003] Lack of information on Vietnamese manufacturers: Vietnamese small and medium-sized factories often lack websites or conduct business primarily through social media, making it difficult for domestic companies to obtain reliable data.

[0004] Language and cultural barriers: High communication costs due to poor communication between Korea and Vietnam, and risks such as delivery delays and poor quality arising during the contract and production stages.

[0005] Production Management Inefficiency: Systematic management is difficult due to the fragmentation of multiple stages, from ordering and prototype approval to QC (Quality Control) and delivery, and there is the inconvenience of having to use different channels for each stage.

[0006] (2) Review of prior art

[0007] Simple brokerage platforms: Some trade brokerage sites or e-commerce platforms like Alibaba focus primarily on list matching and lack features to support the entire production process.

[0008] Government support programs (KOTRA, Korea Small Business & Venture Corporation, etc.): While support for export vouchers and overseas exhibitions and business meetings is available, SaaS (Software as a Service) equipped with real-time matching and project management systems is relatively rare. The problem to be solved

[0009] In order to solve the problems of the prior art described above, the present invention

[0010] The main objective is to extensively secure and classify a database of local Vietnamese manufacturers, automatically recommend manufacturing partners optimized for the requirements of ordering companies (product type, budget, delivery time, MOQ, etc.) using AI matching algorithms, provide an online platform capable of one-stop management of the entire process from prototyping and mass production to QC and logistics, and eliminate language barriers through automatic translation and chatbot functions. means of solving the problem

[0011] To this end, the present invention (1) data crawling and big data construction

[0012] This concerns generating a database of Vietnamese manufacturers by crawling information from Facebook, local chambers of commerce, and trade fairs, classifying them by industry, size, and region, and accumulating metadata such as past delivery history and reliability.

[0013] (2) AI matching algorithm

[0014] This concerns the calculation of a matching score using machine learning based on product specifications, delivery times, and budgets entered by the ordering company, and the selection of a priority recommended factory by considering factors such as past transaction history, quality indicators, and MOQ (Minimum Order Quantity).

[0015] (3) Project Management Dashboard

[0016] Real-time monitoring of the entire process, including prototypes, mass production, QC, and logistics, based on Gantt charts. Direct communication with factory personnel is possible through an automatic translation chat function. This relates to checking and processing quality inspection (QC) and modification requests at a glance on the platform. Effects of the invention

[0017] According to the present invention

[0018] (1) Information asymmetry is resolved, increasing opportunities for small and medium-sized factories in Vietnam to access the domestic market, and domestic companies can easily find the best suppliers.

[0019] (2) By reducing language barriers and efficiently communicating the entire process of contract production and delivery, costs and time are reduced.

[0020] (3) With project management functions, the prototype, main production, QC, and logistics stages can be systematically tracked, allowing for the prevention of quality issues and delivery delays.

[0021] (4) In the future, when expanding into neighboring Southeast Asian countries such as Thailand and Indonesia, it is possible to build a global manufacturing network by extending the same architecture. Brief explanation of the drawing

[0022] Fig. 1: Flowchart of the overall platform structure (data crawling, AI matching, project management) of the present invention Fig. 2: Example of a screen displaying AI matching recommendation results when an ordering company inputs requirements (product specifications, delivery time, etc.). Fig. 3: Example of a dashboard UI for real-time monitoring and management of prototype production and QC stages Fig. 4: Example of communication between an ordering company (Korean) and a manufacturer (Vietnamese) through an automatic translation chat function Fig. 5: Example of a screen showing the procedure for applying for and managing value-added services (dispatch of QC experts, logistics and customs clearance agency, etc.). Specific details for implementing the invention

[0023] (1) DB construction phase

[0024] Crawling social media and websites using Vietnamese keywords to collect basic factory information (industry, materials, production capacity, minimum order quantity) and reliability indicators (transaction reviews, reviews, etc.).

[0025] Through big data preprocessing, industry- and region-specific classification systems and search optimization logic were applied.

[0026] (2) AI matching algorithm

[0027] Example: Using models such as Random Forest or MLP (Multi-Layer Perceptron) to match requirements with company information in the database.

[0028] If the matching score is above a certain threshold, the top 3 to 5 companies are displayed in the recommendation list.

[0029] (3) Automatic translation chat and project management

[0030] Provides a chat function between users and manufacturers by applying a real-time Korean ↔ Vietnamese translation engine (e.g., NMT-based). View progress by prototype, mass production, and QC schedules, as well as photos and videos uploaded by the factory, on the project dashboard.

[0031] (4) QC and logistics integration

[0032] If necessary, local QC experts visit the factory and upload the inspection results to the platform.

[0033] Automate delivery scheduling and documentation by integrating with logistics and customs agencies.

Claims

Claim 1 An invention relates to an online platform ("Vietnam Manufacturer Matching & Production Management Platform: TheFactory - AI-based Vietnam Manufacturer Matching & Production Management Platform") configured to build a database of Vietnamese manufacturers using an AI algorithm, recommend an optimal manufacturing partner based on product specifications, delivery dates, budgets, etc. entered by an ordering company, and manage the entire production process in real-time on a project dashboard, characterized by comprising the steps of: crawling Vietnamese-language web and social media information to accumulate and classify manufacturer information into a big data DB; calculating a matching score using a machine learning matching algorithm (random forest, neural network, etc.); enabling real-time communication between the ordering company and the manufacturer through automatic translation chat; and enabling monitoring and management of the entire project process, including prototypes, mass production, QC, and logistics, on a dashboard. Claim 2 The invention of claim 1 is characterized in that the dashboard module visualizes the progress rate of each production process using a Gantt chart and links additional services such as dispatching QC experts, interpretation support, and logistics in the form of plugins, thereby allowing only the services desired by the ordering company to be selectively added. Claim 3 The invention according to claim 1 or 2 is characterized in that the AI ​​matching algorithm is designed to continuously improve matching accuracy by manufacturing item and region by learning past matching success / failure records and user feedback.

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