With the arrival of the AI era, the barriers to entry for cross-border e-commerce sellers are continuously lowering. Various AI tools have been well-applied in copywriting, language translation, video editing, image processing, and more, reducing sellers' reliance on professional store operators.

Cross-border e-commerce platforms, relying on big data analysis and large AI models, are providing sellers with support in making decisions on product selection strategies, marketing promotion, intellectual property, supply chain management, inventory management, financial management, and stocking plans. This shift allows sellers to move away from relying heavily on operator experience and instead make precise, data-driven decisions using algorithms and models.

Logistics models such as full and partial fulfillment by major e-commerce platforms are rapidly evolving and iterating. For example, Amazon recently launched its Intelligent Supply Chain Fulfillment service, aimed at freeing sellers from the complexities of logistics and supply chain management. This lets the platform handle complex calculations, while sellers can focus on product development and brand building.

In the end, cross-border e-commerce will come down to product strength, emotional value, brand identity, and cultural belongingness. Cross-border e-commerce is evolving into a scene and channel for trade and retail, no longer an exclusive high-end sector. More companies with product and supply chain advantages are joining the field.

The entire industry is returning to the core of trade and retail, with multi-channel sales from overseas warehouses and the integration of online and offline becoming a growing trend.

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WeChat Public Account: Cross-border E-commerce Logistics Baixiaosheng