product-analytics

To identify dead stock in your Shopify catalog, you calculate sell-through rates and apply category-specific days-on-hand thresholds to flag slow-moving products. The analysis estimates tied-up inventory value and outputs tiered markdown recommendations.

Sell-through rate is a product analytics metric calculated by dividing units sold by units on hand over a specific period. Benchmarking this rate by category helps merchants distinguish top performers from slow movers to inform reorders.

Diagnosing low add-to-cart conversion rates involves measuring PDP funnel metrics from views to purchases with session deduplication. Surfacing pages with low conversion helps identify where to improve imagery, copy, or pricing.

Yes, you can generate weekly catalog health reports for WooCommerce, BigCommerce, or custom catalogs. The reports combine sell-through rates, dead-stock alerts, low-ATC flags, and top performers into a digestible summary for merchandising teams.

The best way to calculate days of supply for slow-moving products is to apply category-specific sell-through thresholds to your current inventory data. This flags dead-stock candidates and generates markdown recommendations in JSON or markdown formats.