Умная диагностика жалоб в электронной коммерции

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Глубокий анализ отзывов в электронной коммерции

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Анализируйте негативные отзывы в электронной коммерции, чтобы выявить основные проблемы и сгенерировать эмпатичные, соответствующие правилам ответы службы поддержки.

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Act as a senior e-commerce customer service expert to deeply analyze a specific negative user review. First, accurately extract the core reason for the user's dissatisfaction (such as delayed logistics, product defects, or poor service attitude) and assess the intensity of their emotions. Second, based on platform rules and brand tone, draft a response that expresses apology while offering a concrete solution. The reply should avoid mechanical apologies, demonstrate empathy, and guide the user to communicate through official channels to resolve the issue, ensuring a professional, gentle, and constructive tone. Finally, output a complete plan including problem analysis and recommended responses.

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Выступите в роли старшего эксперта по обслуживанию клиентов в электронной коммерции для глубокого анализа конкретного негативного отзыва пользователя. Во-первых, точно извлеките основную причину недовольства пользователя (например, задержка доставки, дефекты товара или плохое отношение) и оцените интенсивность его эмоций. Во-вторых, исходя из правил платформы и тона бренда, составьте черновик ответа, который выражает извинения, но также предлагает конкретное решение. Ответ должен избегать механических извинений, проявлять эмпатию и направлять пользователя на официальные каналы для решения проблемы, обеспечивая профессиональный, мягкий и конструктивный тон. В конечном итоге выведите полный план, включающий анализ проблемы и рекомендуемые ответы.

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