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Our study aims to introduce the Web-Based Intelligent Packaging Evaluation (WIPE) platform, which uses machine learning and association rule mining to assess packaging performance in e-commerce. By analyzing customer reviews, WIPE identifies packaging defects, their causes, and effects, offering a dynamic, real-world alternative to traditional laboratory methods. By using a pre-trained BERT, it ensures precise predictions even with varying data quality. Additionally, the system captures the full context of customer feedback by generating dynamic word clouds, which visually represent common issues and sentiments, offering deeper insights into customer concerns.