AI活用ECアフターサポートチケット自動分類

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ECカスタマーサポートチケット分類

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AIを活用してECアフターサポートチケットの意図を自動識別し、物流、品質、返金、相談などのカテゴリに正確にタグ付けし、カスタマーサービスの処理効率とユーザー満足度を向上させます。

プロンプト内容

コピー

Analyze the provided e-commerce support ticket text to identify its core intent and categorize it into standard classes such as logistics delay, product quality issue, refund dispute, or consultation suggestion. Simultaneously extract key entities like order numbers, product names, and user sentiment, then output a structured classification result with handling suggestions to assist human agents in rapid response.

コピー

提供されたECアフターサポートチケットのテキストを分析し、その核心意図を特定して、物流遅延、製品品質の問題、返金紛争、または相談提案などの標準的なカテゴリに分類してください。同時に、注文番号、商品名、ユーザーの感情傾向などの主要なエンティティを抽出し、最終的に構造化された分類結果と処理提案を出力して、人間の担当者による迅速な対応を支援してください。

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