Sistema de clasificación automática de tickets de comercio electrónico con IA

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Clasificación de tickets de comercio electrónico

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Utilizar el procesamiento del lenguaje natural para analizar los tickets de clientes de comercio electrónico, identificar la intención y automatizar la categorización y priorización para mejorar la eficiencia de respuesta y la calidad del servicio.

Contenido del prompt

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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. Categorize the ticket into the corresponding service department based on predefined business rules. Simultaneously, assess the urgency of the ticket; if it involves safety complaints or potential negative public opinion risks, mark it as high priority and recommend immediate human intervention. For routine inquiries, generate standardized response suggestions for customer service agents. The final output should include the classification label, urgency rating, and key information summary to ensure the customer service team can quickly understand customer needs and respond accurately.

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Analice el texto del ticket de cliente de comercio electrónico proporcionado para identificar su intención principal, como una consulta logística, una solicitud de devolución o cambio, una queja sobre la calidad del producto o una consulta de precios. Clasifique el ticket en el departamento de servicio correspondiente según las reglas comerciales predefinidas. Evalúe simultáneamente la urgencia del ticket; si se trata de quejas por seguridad o riesgos potenciales de opinión pública negativa, márquelo como alta prioridad y recomiende una intervención humana inmediata. Para consultas rutinarias, genere sugerencias de respuesta estandarizadas para los agentes del servicio al cliente. La salida final debe incluir la etiqueta de clasificación, el nivel de urgencia y un resumen de la información clave para garantizar que el equipo de servicio al cliente pueda comprender rápidamente las necesidades de los clientes y responder con precisión.

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