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Analyse d'avis consommateurs pour nouveau café

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Collecter et trier les avis consommateurs du cold brew latte à l'avoine nouveau d'une marque locale de café, résumer les avantages, inconvénients et suggestions d'amélioration.

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Sort through nearly a thousand real consumer reviews of a newly launched cold brew oat latte from a local coffee brand on mainstream Chinese e-commerce platforms, summarize the most frequently mentioned product advantages and common dissatisfying issues, then organize specific product improvement directions for the brand team.

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Triez près d'un millier d'avis consommateurs authentiques sur le cold brew latte à l'avoine nouvellement lancé par une marque locale de café sur les principales plateformes de e-commerce chinoises, résumez les avantages du produit les plus fréquemment mentionnés et les problèmes courants qui mécontentent les consommateurs, puis organisez des directions d'amélioration de produit spécifiques pour l'équipe de la marque.

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Recommandation

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Act as a senior e-commerce operations expert to perform deep semantic analysis on the provided user after-sales review data. You need to identify the sentiment polarity (positive, negative, or neutral) of each review and accurately extract specific issues mentioned by users, such as delayed logistics, damaged goods, or poor customer service attitude. Additionally, summarize high-frequency complaint keywords, assess the overall user satisfaction trend, and propose specific service optimization strategies based on this feedback. The final output should include sentiment distribution statistics, a summary of core issues, and actionable improvement strategies, ensuring the analysis results have practical business guidance value with natural language flow, avoiding mechanical list stacking.
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