AI活用ECチケット自動分類システム

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ECチケット分類

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自然言語処理技術を用いてEC顧客チケットを分析し、意図を識別して分類と優先順位付けを自動化し、応答効率とサービス品質を向上させます。

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コピー

Analyze the provided e-commerce customer ticket text to identify its core intent, such as logistics inquiry, return or exchange request, product quality complaint, or price consultation. Categorize the ticket into the corresponding service department based on predefined business rules. Simultaneously, assess the urgency of the ticket; if it involves safety complaints or potential negative public opinion risks, mark it as high priority and recommend immediate human intervention. For routine inquiries, generate standardized response suggestions for customer service agents. The final output should include the classification label, urgency rating, and key information summary to ensure the customer service team can quickly understand customer needs and respond accurately.

コピー

提供されたEC顧客チケットのテキストを分析し、物流問い合わせ、返品・交換リクエスト、製品品質の苦情、価格相談などの核心意図を特定してください。事前に定義されたビジネスルールに基づき、対応するサービス部門にチケットを分類してください。同時に、チケットの緊急性を評価し、安全に関する苦情や潜在的なネガティブな世論リスクが含まれる場合は、高優先度としてマークし、直ちなる人間の介入を推奨してください。通常の問い合わせについては、カスタマーサービス担当者向けの標準的な返信提案を生成してください。最終出力には、分類ラベル、緊急性のランク付け、および主要情報の概要を含め、カスタマーサービスチームが顧客のニーズを迅速に理解し、正確に対応できるようにしてください。

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