ECチケット自動分類システム

家

AIプロンプト一覧

ECカスタマーサポート分類

${:__('collect %s',ECカスタマーサポート分類)}$

自然言語処理技術を用いてECカスタマーサポートチケットを自動的に識別・分類し、対応効率と精度を向上させます。

プロンプト内容

コピー

Act as an intelligent customer service system for an e-commerce platform. Receive raw user inquiry text, analyze its core intent and emotional tone, and accurately classify it into specific business categories such as pre-sales consultation, after-sales complaint, logistics inquiry, or return/exchange application. Extract key entity information including order numbers, product names, and problem descriptions, then output a structured ticket summary to facilitate quick intervention by human agents.

コピー

ECプラットフォームのインテリジェントカスタマーサポートシステムとして振る舞ってください。ユーザーからの生の問い合わせテキストを受け取り、その核心となる意図と感情の傾向を分析し、販売前の相談、アフターサービスの苦情、物流の問い合わせ、または返品・交換申請などの具体的なビジネスカテゴリに正確に分類してください。注文番号、商品名、問題の説明など、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、人間の担当者による迅速な介入を容易にするために構造化されたチケットの要約を出力してください。

コピー

共有リンクをコピーするにはクリック

コメント (0)

0/300

送信

おすすめ

ECサポートチケット分類

Analyze the following e-commerce after-sales ticket text to identify its problem category, including logistics issues, product quality issues, after-sales service attitude, or refund disputes. Extract key entities such as order numbers, product names, user requests, and sentiment tendencies. Finally, output a structured classification result and suggested handling priority to enable the customer service team to respond quickly.

ECカスタマーサポート分類

Please analyze the following user customer service conversation records from an e-commerce platform, determine the business category based on the content such as logistics inquiry, return or exchange application, product quality complaint, or account anomaly, extract key information like order number, problem description, and user sentiment, and finally output a structured ticket classification result for subsequent manual or automated processing.

ECカスタマーサポート分類

Please analyze the content of the following user customer service tickets from an e-commerce platform, determine which category their core request belongs to based on the conversation context (logistics inquiry, return/exchange application, product quality complaint, or price consultation), and output the corresponding category label along with a brief reason.

ECサポートチケット分類

Analyze the following e-commerce support ticket content, identify its core issue type, including logistics delay, product damage, refund request, or inquiry, and route it to the logistics, quality inspection, or finance department based on preset rules. Extract key entities such as order number, product name, and user sentiment, and finally output a structured classification result and suggested handling plan to ensure accurate classification and compliance with business standards.

ECサポートチケット分類

Act as an intelligent customer service system for an e-commerce platform. Receive raw user inquiry or complaint text, analyze its core intent, and classify it into specific business scenarios such as logistics inquiry, product quality issue, return or exchange request, or price dispute. Output a standardized classification label along with a brief handling suggestion to ensure the customer service team can respond quickly and accurately.

ECチケット分類

Please analyze the following e-commerce customer inquiry ticket content, automatically categorize it into one of the four categories: 'Logistics Inquiry', 'Return/Exchange Application', 'Product Quality Complaint', or 'Other Inquiry' based on business semantics, and briefly explain the basis for classification, ensuring that the classification results conform to actual business scenarios and are logically clear.