Return reason classification is the systematic process of categorizing product returns into meaningful groups such as 'defective product,' 'wrong size,' or 'item not as described.' Modern AI classifiers use natural language processing and machine learning to automatically analyze customer feedback, support tickets, or product images to assign return reason categories at scale. This enables merchants to identify systemic issues, reduce return rates, and improve product development decisions.
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Return Reason Classification
The process of categorizing why customers return products using AI to analyze descriptions, images, or structured data.
Related terms
- AI Classifier — A machine learning model that automatically categorizes inputs—like return reasons or customer feedback—into predefined groups.
- Return Rate — The percentage of orders that customers return within a given period, a key metric for product and operational health.
- Multi-class Classification — A classification task where each input can be assigned one of three or more possible categories.