Design and Implementation of SME International Trade Intelligent Summarization Platform Based on Deep Learning and Microservice Architecture

This study implements an intelligent international trade matching platform for SMEs based on distributed computing, deep learning and microservice architecture, integrating NLP and multi-objective optimization algorithms to construct a matching model, and decoupling and synergizing the core modules through SpringCloud microservice framework. The results show that the platform effectively solves the problem of information asymmetry and resource constraints, significantly improves the efficiency and success rate of SMEs' international trade, and provides new ideas and practical examples for digital trade services.