KI-gestützte Kennzeichnung von E-Commerce-Support-Tickets

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KI-Prompt-Liste

Klassifizierung von Support-Tickets

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Nutzen Sie Natural Language Processing, um vom Benutzer eingereichte Post-Verkaufs-Anfragen und Beschwerde-Tickets auf E-Commerce-Plattformen semantisch zu analysieren. Identifizieren Sie automatisch Problemtypen wie Logistikverzögerungen, Produktschäden oder Rückerstattungsstreitigkeiten, extrahieren Sie Schlüsselentitäten und stellen Sie strukturierte Daten für nachfolgende manuelle Eingriffe oder automatisierte Arbeitsabläufe bereit, wodurch die Reaktionsgeschwindigkeit des Kundenservice und die Zufriedenheit der Benutzer verbessert werden.

Prompt-Inhalt

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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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Analysieren Sie den folgenden Text eines E-Commerce-Post-Verkaufstickets, um seine Problemkategorie zu identifizieren, einschließlich Logistikproblemen, Produktqualitätsproblemen, Post-Verkaufsservice-Haltung oder Rückerstattungsstreitigkeiten. Extrahieren Sie Schlüsselentitäten wie Bestellnummern, Produktnamen, Benutzeranfragen und Stimmungsneigungen. Geben Sie abschließend ein strukturiertes Klassifizierungsergebnis und eine empfohlene Bearbeitungspriorität aus, damit das Kundenservice-Team schnell reagieren kann.

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