KI-gestützte automatische Klassifizierung von E-Commerce-Support-Tickets

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E-Commerce-Support-Ticket-Klassifizierung

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Nutzen Sie KI, um E-Commerce-Kundensupport-Tickets automatisch zu klassifizieren, um die Reaktionsgeschwindigkeit und Servicequalität zu verbessern.

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Analyze the provided customer inquiry text and categorize it into one of four predefined classes: pre-sales consultation, after-sales service, logistics inquiry, or complaint/suggestion based on business semantics. If an order number is mentioned, extract it; if emotional expression is present, label the sentiment as positive, neutral, or negative. The output must include the classification result, key entity extraction, and sentiment label, ensuring the logic aligns with standard e-commerce customer service protocols without additional explanatory reasoning.

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Analysieren Sie den bereitgestellten Kundenanfragetext und ordnen Sie ihn basierend auf der Geschäftssemantik einer der vier vordefinierten Kategorien zu: Vorverkaufsberatung, After-Sales-Service, Logistikabfrage oder Beschwerde/Vorschlag. Wenn eine Bestellnummer erwähnt wird, extrahieren Sie diese; wenn ein emotionaler Ausdruck vorhanden ist, kennzeichnen Sie die Stimmung als positiv, neutral oder negativ. Die Ausgabe muss das Klassifizierungsergebnis, die Extraktion wichtiger Entitäten und das Stimmungsetikett enthalten und sicherstellen, dass die Logik den Standardprotokollen des E-Commerce-Kundendienstes entspricht, ohne zusätzliche erklärende Begründung.

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