Rotulagem inteligente de tickets de suporte de e-commerce

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Classificação de tickets de suporte

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Aproveite o processamento de linguagem natural para analisar semanticamente os tickets de consultas e reclamações pós-venda enviados por usuários em plataformas de comércio eletrônico. Identifique automaticamente tipos de problemas como atrasos logísticos, danos em produtos ou disputas de reembolso, extraia entidades-chave e forneça dados estruturados para intervenções manuais ou fluxos de trabalho automatizados subsequentes, melhorando assim a eficiência de resposta do serviço ao cliente e a satisfação do usuário.

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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.

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Analise o seguinte texto de ticket de serviço pós-venda de comércio eletrônico para identificar sua categoria de problema, incluindo problemas logísticos, problemas de qualidade do produto, atitude do serviço pós-venda ou disputas de reembolso. Extraia entidades-chave como números de pedido, nomes de produtos, solicitações de usuários e tendências de sentimento. Finalmente, emita um resultado de classificação estruturado e uma prioridade de tratamento sugerida para permitir que a equipe de serviço ao cliente responda rapidamente.

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