每周质量报告丨上防盗扣、挂大吊牌 谁在透支网购的信任？

Core Viewpoint - The rise of online shopping has led to increased use of large tags and anti-theft devices on clothing, reflecting merchants' concerns over high return rates and potential losses from returned items that cannot be resold [1][8]. Group 1: Merchant Experiences - Merchants like Zhou Yuanxia and Wang Meng have adopted large tags and anti-theft devices to prevent returns of worn or damaged clothing, which is particularly problematic for items like Hanfu and Tang suits that have higher return rates [4][6]. - Wang Meng noted that while the use of large tags increases costs and reduces sales, it effectively mitigates losses from returns [6]. - E-commerce operators like Yan Qinqin have shifted focus from promoting products to managing returns, facing challenges with customers attempting to return items beyond the allowed return period [10][12]. Group 2: Consumer Impact - Consumers have expressed frustration with large tags that obstruct the view of clothing details, impacting their shopping experience and leading to potential returns due to sizing issues [17][19]. - Many consumers believe that only a small number of individuals engage in malicious return practices, suggesting that the majority are honest buyers affected by the stringent return policies [19][20]. Group 3: Industry Challenges - The overall return rate for women's clothing online hovers around 50% to 60%, with some sectors like live-streaming e-commerce exceeding 80%, leading to increased operational costs for merchants [28][30]. - The costs associated with returns, including logistics and product damage, can significantly erode profit margins, making it crucial for merchants to manage return policies effectively [30][32]. - Experts suggest that e-commerce platforms need to enhance their ability to identify and manage return behaviors to protect both consumer rights and merchant interests [32][34]. Group 4: Solutions and Recommendations - Experts recommend that platforms utilize big data to create a credit evaluation system that can help identify trustworthy consumers and flag suspicious return behaviors [34][36]. - There is a call for technological solutions to improve the tracking of consumer behavior and establish a credit rating system for return actions, which could help maintain trust in the market [36].