Système de Classification Automatique de Tickets EC par IA

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Classification Tickets Support EC

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Utiliser les technologies de traitement du langage naturel pour identifier et classer automatiquement les demandes et plaintes des utilisateurs reçues par le service client de commerce électronique, améliorant ainsi l'efficacité de la réponse et la qualité du service.

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Analyze the following customer message received by e-commerce support, determine its business category based on semantics such as return/exchange inquiry, logistics query, product quality complaint, or account issue, and output the corresponding category label along with a brief handling suggestion, ensuring accurate classification that aligns with customer service standards.

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Veuillez analyser le message utilisateur suivant reçu par le service client de commerce électronique, déterminer sa catégorie commerciale en fonction de la sémantique, telle que la demande de retour ou d'échange, la requête logistique, la plainte sur la qualité du produit ou le problème de compte, et générer l'étiquette de catégorie correspondante ainsi qu'une suggestion de traitement brève, en assurant une classification précise et conforme aux normes de service client.

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Classificateur de Tickets E-commerce

Analyze the following customer service message from an e-commerce platform and determine its business category. The possible categories are: Logistics Inquiry, Return/Exchange Request, Product Quality Complaint, Price Dispute, Account Issue, and Other. Output only the category name without any explanation. The customer message is: 'The package I received three days ago shows as delivered, but I have not received any physical item. The logistics information is stuck at the transit center. Please verify this and expedite a reshipment or refund.'

Classificateur de Tickets E-com

Classement Billets EC

Act as a data analysis assistant for an e-commerce customer service system. Read the current list of pending customer inquiry tickets, automatically categorize them into four major categories based on the nature of the issue: logistics inquiry, product quality, return/exchange application, or complaint/suggestion. Extract key entities such as order numbers, product SKUs, and user sentiment tendencies, and finally output structured classification results for subsequent manual review or automatic routing.

Classificateur de tickets EC

Act as an intelligent customer service assistant for an e-commerce platform. Receive the raw text of a user's inquiry, analyze its core intent and urgency, and categorize it into one of four types: pre-sales consultation, after-sales rights protection, logistics inquiry, or complaint/suggestion. Extract key entities such as order numbers, product names, and problem descriptions. Finally, output a structured classification result and handling suggestions, ensuring the response is accurate and complies with corporate customer service standards.

Classificateur de Tickets E-commerce

Please analyze the following e-commerce customer service ticket content and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry' based on predefined business rules. If the ticket involves multiple issues, prioritize the most urgent or core issue category. Ensure the classification result is accurate and aligns with actual business scenarios to enable the customer service team to respond quickly.

Classification des tickets e-commerce

Please analyze the following e-commerce customer inquiry ticket content, automatically classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other Inquiry' based on business semantics, and briefly explain the classification basis to enable the customer service team to respond and handle it quickly.