Étiquetage intelligent des tickets de support e-commerce

Maison

Liste de prompts IA

Classification des tickets de support

${:__('collect %s',Classification des tickets de support)}$

Exploitez le traitement du langage naturel pour analyser sémantiquement les tickets de demande d'après-vente et de plainte soumis par les utilisateurs sur les plateformes de commerce électronique. Identifiez automatiquement les types de problèmes tels que les retards de livraison, les dommages aux produits ou les litiges de remboursement, extrayez les entités clés et fournissez des données structurées pour les interventions manuelles ou les flux de travail automatisés, améliorant ainsi l'efficacité de réponse du service client et la satisfaction des utilisateurs.

Contenu du prompt

Copier

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.

Copier

Analysez le texte du ticket de service après-vente e-commerce suivant pour identifier sa catégorie de problème, y compris les problèmes logistiques, les problèmes de qualité du produit, l'attitude du service après-vente ou les litiges de remboursement. Extrayez les entités clés telles que les numéros de commande, les noms de produits, les demandes des utilisateurs et les tendances sentimentales. Enfin, produisez un résultat de classification structuré et une priorité de traitement suggérée pour permettre à l'équipe de service client de répondre rapidement.

Copier

Partager Cliquez pour copier le lien

commentaires (0)

0/300

Soumettre

Recommandation

Classification Tickets E-commerce

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.

Classification Tickets E-com

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.

Classification Tickets EC

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.

Classification Billets Support

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.

Classificateur de tickets e-commerce

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.

Classification Billets EC

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.