Core Insights - The Black Friday and Cyber Monday period represents a peak sales opportunity for cross-border e-commerce sellers, but it also poses significant challenges related to increased return rates, which can erode profits [1][6] - Amazon's lenient return policies enhance customer experience but create potential profit loss for sellers due to high return processing costs [1][6] Group 1: Return Management Strategies - A centralized and intelligent cross-border e-commerce ERP system is essential for streamlining return management processes and minimizing losses [3][6] - The first step in managing returns is data analysis to identify which products are experiencing high return rates and the reasons behind them, utilizing features like "return analysis" in the ERP system [3][5] - Efficient internal processing workflows are crucial for handling return requests promptly, with standardized online processes established through the ERP's RMA management module [3][5] Group 2: Cost Management and Inventory Recovery - Accurately calculating the true cost of returns is necessary for integrating these figures into final profit reports, with the ERP's RMA analysis capabilities tracking return orders and associated costs [5][6] - Returned goods should be viewed as an opportunity to recover value; the ERP system can quickly update inventory statuses for resalable items, thus reintegrating them into available resources [5][6] - The ERP's inventory query and planning functions provide a comprehensive view to help operators make informed decisions regarding restocking and reallocating inventory, enhancing overall asset turnover efficiency [5][6] Group 3: Strategic Insights for Future Sales - The competition during Black Friday and Cyber Monday extends beyond traffic acquisition to profit protection, necessitating systematic and standardized return processing [6] - By leveraging return data for insights, sellers can drive improvements in product selection, operations, and customer service, ultimately leading to increased profits in future sales seasons [6]