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ECレビュー分析
レビュー・評価
3
3
ECプラットフォームのユーザーアフターセールスフィードバックを自然言語処理で分析し、主要な痛みポイントと感情傾向を抽出し、顧客満足度と製品イテレーション効率を向上させるための構造化された改善提案レポートを生成します。
プロンプト内容
コピー
コピー
Act as a senior e-commerce operations expert to deeply analyze the provided user after-sales review data, identifying product quality defects, logistics issues, or service attitude flaws reflected within them. Summarize the high-frequency complaint points and sentiment polarity distribution, and finally output an optimization suggestion report containing specific improvement measures and priority rankings to support business decisions.
コピー
シニアEC運用专家として、提供されたユーザーアフターセールスレビューデータを深く分析し、そこに反映されている製品品質の欠陥、物流の問題、またはサービス態度の瑕疵を特定してください。高頻度の苦情ポイントと感情極性の分布をまとめ、最終的に具体的な改善措置と優先順位付けを含む最適化提案レポートを出力し、ビジネス意思決定をサポートしてください。
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