An AI classifier is a type of machine learning model trained to assign labels or categories to new inputs based on patterns learned from existing data. In e-commerce, classifiers process customer messages, return forms, or product images to determine why items were returned. Modern classifiers achieve 85-95% accuracy on common categories and can handle thousands of classifications per second, making them essential for merchants processing high return volumes.
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AI Classifier
A machine learning model that automatically categorizes inputs—like return reasons or customer feedback—into predefined groups.
Related terms
- Machine Learning Model — A mathematical system trained on historical data to make predictions or classifications on new data.
- Return Reason Classification — The process of categorizing why customers return products using AI to analyze descriptions, images, or structured data.
- Inference — The process of using a trained AI model to make predictions on new, unlabeled data.
- Confidence Score — A number between 0 and 1 indicating how certain the AI model is about its classification decision.