KI-gestütztes automatisches Klassifizierungssystem für E-Commerce-Tickets

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E-Commerce-Ticket-Klassifizierung

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Nutzen Sie die natürliche Sprachverarbeitung, um E-Commerce-Kundensupport-Tickets zu analysieren, Absichten zu identifizieren und sie automatisch in die Module After-Sales, Logistik oder Produktberatung zu kategorisieren, um die Effizienz zu steigern.

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Analyze the provided e-commerce customer consultation text to identify the core request and determine its business category. If the user mentions damaged, missing, or malfunctioning items, categorize it as an after-sales issue. If it involves delayed shipping, logistics updates, or lost packages, categorize it as a logistics issue. If it asks about product specifications, usage tutorials, or compatibility, categorize it as a product inquiry. Ignore emotional expressions and extract key facts for precise classification, outputting the corresponding standard business label.

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Analysieren Sie den bereitgestellten E-Commerce-Kundenberatungstext, um die Hauptanfrage zu identifizieren und ihre Geschäftskategorie zu bestimmen. Wenn der Benutzer beschädigte, fehlende oder defekte Artikel erwähnt, klassifizieren Sie dies als After-Sales-Problem. Wenn es sich um Versandverzögerungen, Logistikupdates oder verlorene Pakete handelt, klassifizieren Sie dies als Logistikproblem. Wenn es um Produktspezifikationen, Gebrauchsanweisungen oder Kompatibilität geht, klassifizieren Sie dies als Produktberatung. Ignorieren Sie emotionale Ausdrücke und extrahieren Sie die wichtigsten Fakten für eine präzise Klassifizierung, wobei Sie das entsprechende Standard-Geschäftsetikett ausgeben.

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