Customer Service & Returns Analysis — AI for Product Listings & Merchandising

# Customer Service & Returns Analysis

Every customer service ticket is a symptom. AI helps you treat the disease, not just the symptoms.

Customer Inquiry Analysis

Analyze the following customer service data and identify patterns:

[Paste last month's support tickets — subject lines, categories,
and resolution types]

Analysis should include:
1. TOP INQUIRY CATEGORIES (by volume)
   - Percentage of total for each category
   - Average resolution time per category
   - First-contact resolution rate per category

2. PRODUCT-SPECIFIC ISSUES
   - Which products generate the most support tickets?
   - What type of issues (sizing, quality, unclear instructions)?
   - Return rate by product and reason

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What you'll learn:

Use AI to analyze customer service patterns and identify systemic improvement opportunities
Create customer service response templates that resolve issues efficiently
Build returns analysis frameworks that reduce return rates through better product information

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