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AI Analytics & Business Intelligence

Can AI analyze products?

Summary

Yes. ShopIQ can analyze product performance using available catalog, sales, order, return, and customer data. Merchants can ask which products are selling well, which are underperforming, which products have high returns, and which products may need better content, pricing, or promotion.

Who this is for: Merchants who want to understand product performance and improve catalog, pricing, merchandising, and marketing decisions.

Can AI analyze products?

Yes. ShopIQ can help analyze products using AI Analytics. Merchants can ask product-related business questions such as:

  • "Which products sold the most?"
  • "Which products are not selling?"
  • "Which products have high returns?"
  • "Which products generated the most revenue?"
  • "Which products should I promote?"
  • "Which products need better descriptions?"
  • "Which category is underperforming?"

What product data can AI use?

  • Product titles, descriptions, categories, collections, tags
  • Prices and variants
  • Stock information
  • Orders, sales, returns, and refunds
  • Customer behavior
  • Campaign data where available

Can AI identify best-selling products?

Yes. AI can help identify best-selling products based on order quantity, revenue, or other available performance metrics. Merchants can ask "Which products sold the most this week?", "Which products generated the most revenue this month?", or "What are my top 10 products?"

Can AI identify slow-moving products?

Yes. AI can help identify products with low or no sales. Merchants can use this insight to improve product images, rewrite descriptions, adjust pricing, create offers, move products into collections, or reduce inventory.

Can AI identify products with high returns?

Yes, where return data is available. AI can help merchants identify products with frequent returns or refund requests. This may indicate issues such as wrong expectations, size problems, poor product images, incorrect descriptions, quality issues, delivery damage, or customer misunderstanding. Merchants should investigate before making changes.

Can AI suggest product improvements?

AI can help suggest possible improvements based on available data — for example, better product titles, improved descriptions, more images, lifestyle visuals, better category placement, pricing review, offer ideas, or SEO metadata updates. AI suggestions should be reviewed by the merchant before implementation.

Can AI analyze product variants?

AI can analyze variant-level performance where variant data is available — for example, which size sells most, which color performs better, which variant has high returns, or which variant is out of stock frequently.

Does product analysis consume AI credits?

Yes. AI-powered product analysis consumes AI credits. Manual product review through the dashboard does not consume AI credits.

AI product analysis helps merchants identify patterns, but it should not replace business judgment. Merchants should verify important insights using actual orders, stock, customer feedback, product quality, and market context.

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