Système de classification automatique des tickets e-commerce par IA

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Classification des tickets e-commerce

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Exploitez le traitement du langage naturel pour analyser les tickets clients e-commerce, identifier l'intention et la priorité pour un routage automatique, améliorant l'efficacité et la satisfaction.

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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. Classify the ticket into the corresponding customer service queue based on predefined business rules. Simultaneously, assess the urgency of the ticket; if it involves safety complaints or significant public opinion risks, mark it as high priority and recommend immediate manual intervention. For routine inquiries, extract key entities (e.g., order number, product SKU, problem description) and generate a concise summary to help customer service agents quickly understand the context. The final output should include the classification label, priority level, list of key entities, and a summary of no more than 50 words, ensuring accuracy and facilitating subsequent processing.

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Analysez le texte du ticket client e-commerce fourni pour identifier son intention principale, telle qu'une demande de suivi logistique, une demande de retour ou d'échange, une plainte sur la qualité du produit ou une consultation sur les prix. Classez le ticket dans la file d'attente de service client correspondante en fonction des règles commerciales prédéfinies. Évaluez simultanément l'urgence du ticket ; s'il concerne des plaintes pour sécurité ou des risques d'opinion publique importants, marquez-le comme haute priorité et recommandez une intervention manuelle immédiate. Pour les demandes routinières, extrayez les entités clés (par exemple, numéro de commande, SKU du produit, description du problème) et générez un résumé concis pour aider les agents du service client à comprendre rapidement le contexte. La sortie finale doit inclure l'étiquette de classification, le niveau de priorité, la liste des entités clés et un résumé de 50 mots maximum, garantissant l'exactitude et facilitant le traitement ultérieur.

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Recommandation

Service Client E-commerce

Act as a senior e-commerce customer service expert. Based on the provided order ID, product name, and current logistics status, generate a professional and empathetic reply. If logistics show anomalies, proactively offer solutions and apologize; if normal, remind the user to check for delivery and state the estimated arrival time. Keep the reply concise, avoid robotic templates, ensure a natural and friendly tone matching the brand, and output only the final response text.

Réponse Auto Service Client EC

Act as a senior e-commerce customer service expert. Based on the provided product knowledge base and the customer's specific inquiry, generate a professional, friendly, and accurate response. The reply must directly address the customer's questions regarding product specifications, logistics status, or after-sales policies. Avoid mechanical template language, ensure the tone is natural and fluent while matching the brand voice, and strictly adhere to factual information without fabricating details.

Réponse Service Client E-com

Act as a senior e-commerce customer service expert. Generate a response for a customer complaining about a damaged item received during transit, who is upset and demanding a full refund plus compensation. Your reply must first sincerely apologize for the poor experience, then clearly state that you will immediately arrange a free replacement or full refund, and proactively cover the return shipping costs. Maintain a professional, gentle, yet firm tone, avoiding robotic phrases. Focus on resolving the practical issue quickly and rebuilding trust, ensuring the response is concise and aligns with brand service standards.

Classement Billets EC

Analyze the following customer inquiry text from an e-commerce platform and determine its business category based on semantics, including return/exchange requests, logistics queries, product inquiries, or complaints/suggestions. Output only the classification label without explanation or additional notes to ensure accurate categorization for subsequent automated processing.

Classification Billets EC

Please analyze the following raw customer inquiry text submitted via e-commerce channels and classify it into one of four categories: 'Logistics Inquiry', 'Return/Exchange Request', 'Product Quality Complaint', or 'Other'. When making the judgment, focus on keywords such as tracking numbers, damaged goods, size mismatches, or shipping delays mentioned by the customer, ignoring emotional expressions, and directly output the most matching category label along with a brief rationale, ensuring the classification result aligns with common handling processes in actual business scenarios.

Réponse Service Client EC

Act as a senior e-commerce customer service expert. Based on the user's provided order number, product name, and current logistics status, generate a professional and empathetic reply. If logistics are stalled, proactively provide inquiry channels and apologize; if delivered, guide the user to confirm receipt and invite a review. The reply must be concise, avoid robotic clichés, ensure a warm tone that addresses actual pain points, and output only the final reply text.