AI活用ECアフターサポートチケット自動振り分け

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ECカスタマーサポートチケット分類

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自然言語処理技術を活用し、ECプラットフォームのユーザーからのアフターサポート相談や苦情チケットを意味解析し、物流、品質、返金などの具体的な業務モジュールに自動分類することで、カスタマーサービスの応答効率と処理精度を向上させます。

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コピー

Analyze the following e-commerce support ticket text to identify the user's core request and emotional tone, then automatically categorize it into specific business modules such as logistics delay, product quality issue, return/refund application, or general inquiry, while extracting key entities like order ID, product name, and problem description for subsequent manual agent intervention.

コピー

以下のECアフターサポートチケットテキストを分析し、ユーザーの核心的な要求と感情の傾向を特定し、物流の遅延、商品の品質問題、返品・交換の申請、または一般的な相談などの具体的な業務カテゴリに自動分類してください。さらに、注文番号、商品名、問題の説明などの主要なエンティティ情報を抽出し、後続の人工カスタマーエージェントによる迅速な介入処理を可能にしてください。

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