📄 中文摘要
构建一个可扩展的零售AI系统，能够应对重新包装、新产品开发（NPD）和现实世界的复杂性。该系统的设计考虑了从货架图像提取信息到生成SKU代码的整个流程，确保在实际应用中具备高效性和稳定性。通过采用先进的图像识别技术和机器学习算法，系统能够自动化处理大量数据，提升零售运营的智能化水平。此外，针对不同的市场需求和产品特性，系统具备灵活性，能够快速适应变化，确保在动态环境中持续有效运行。
从货架图像到SKU代码：设计一个适合生产的零售AI管道
📄 English Summary
From Shelf Image to SKU Code: Designing a Production-Ready Retail AI Pipeline
The guide outlines the process of building a scalable retail AI system that can handle challenges such as repackaging, new product developments (NPDs), and real-world complexities. It emphasizes the entire workflow from extracting information from shelf images to generating SKU codes, ensuring efficiency and stability in practical applications. By leveraging advanced image recognition technologies and machine learning algorithms, the system automates the processing of large volumes of data, enhancing the intelligence of retail operations. Furthermore, the system is designed to be flexible, allowing it to quickly adapt to varying market demands and product characteristics, ensuring continuous effective operation in dynamic environments.