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

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E-Commerce-Ticket-Kategorisierung

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Nutzung von Natural Language Processing zur Analyse von Support-Tickets, automatische Identifizierung von Problemtypen und Weiterleitung an die entsprechende Abteilung zur Verbesserung der Effizienz und Zufriedenheit.

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Analyze the following e-commerce support ticket text to identify its core issue type (e.g., delayed shipping, damaged goods, refund dispute, pre-sales inquiry) and categorize it into the corresponding handling department (Logistics, Quality Control, Finance, or Pre-sales) based on predefined rules. If the ticket contains multiple issues, prioritize the most urgent or impactful one, and output the classification result along with a brief rationale.

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Analysieren Sie den folgenden Text des E-Commerce-Support-Tickets, um den Kernproblemtyp (z. B. verzogener Versand, beschädigte Ware, Rückerstattungsstreitigkeit, Vorverkaufsanfrage) zu identifizieren und ihn basierend auf vordefinierten Regeln in die entsprechende Bearbeitungsabteilung (Logistik, Qualitätskontrolle, Finanzen oder Vorverkauf) einzuteilen. Wenn das Ticket mehrere Probleme enthält, priorisieren Sie das dringendste oder einflussreichste Problem und geben Sie das Klassifizierungsergebnis sowie eine kurze Begründung aus.

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