IA Service Client E-commerce

Maison

Liste de prompts IA

Réponse Service Client E-com

${:__('collect %s',Réponse Service Client E-com)}$

Générez des réponses clients professionnelles, empathiques et efficaces pour les scénarios post-vente.

Contenu du prompt

Copier

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.

Copier

Agissez en tant qu'expert senior en service client e-commerce. Générez une réponse à une plainte d'un client se plaignant d'un article endommagé reçu pendant le transport, qui est furieux et exige un remboursement intégral ainsi qu'une compensation. Votre réponse doit d'abord s'excuser sincèrement pour la mauvaise expérience, puis indiquer clairement que vous organiserez immédiatement un remplacement gratuit ou un remboursement intégral, et couvrirez proactivement les frais de retour. Maintenez un ton professionnel, doux mais ferme, évitez les phrases robotiques, concentrez-vous sur la résolution rapide du problème pratique et la reconstruction de la confiance, en vous assurant que la réponse est concise et conforme aux normes de service de la marque.

Copier

Partager Cliquez pour copier le lien

commentaires (0)

0/300

Soumettre

Recommandation

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.

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.

Classificateur de Tickets E-commerce

Act as an intelligent customer service assistant for an e-commerce platform. Analyze the text of user-submitted inquiries to identify their core intent, such as return requests, logistics tracking, or product complaints. Classify each ticket into the appropriate department based on predefined business rules, and extract key entities like order numbers, product names, and specific issue descriptions to facilitate rapid follow-up by human agents.

Classificateur de tickets e-commerce

Act as an intelligent customer service assistant for an e-commerce platform. Receive raw user consultation or complaint text, analyze its core intent, and categorize it into specific business categories such as logistics inquiry, product quality issue, return or exchange application, or price dispute. Extract key entities like order numbers, product names, and user sentiment. Finally, output the classification results and brief handling suggestions in a structured format, ensuring accuracy and compliance with customer service standards.