ECチケットのAI自動分類

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ECチケット分類

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AIを使用してEC顧客問い合わせチケットを自動的に識別・分類し、対応効率とサービス品質を向上させます。

プロンプト内容

コピー

Analyze the following raw customer inquiry text from an e-commerce platform and categorize it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry'. If the text involves multiple intents, prioritize the most urgent or core issue and briefly explain the reasoning. For instance, if a user mentions 'the shirt size is wrong and I want to exchange it', categorize it as 'Return/Exchange Request'. Output only the category and a short rationale without any conversational filler or explanatory prefixes.

コピー

以下のEC顧客からの生の問い合わせテキストを分析し、「物流問い合わせ」、「返品・交換申請」、「製品品質苦情」、「その他問い合わせ」の4つのカテゴリのいずれかに分類してください。テキストに複数の意図が含まれている場合は、最も緊急または中核的な問題を優先し、その理由を簡潔に説明してください。例えば、ユーザーが「シャツのサイズが合わないから交換したい」と言った場合、「返品・交換申請」に分類します。会話の挨拶や説明の前書きなしで、カテゴリと短い根拠のみを出力してください。

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