Ask your Shopify store anything — sales, SKUs, customers, fulfillment, refunds.
orders All orders with totals, status, customer, line items. order_line_items Per-order line items: SKU, quantity, unit price, discount. customers Shopify customer records with first/last name, email, total spend. products Product catalog with variants, prices, inventory. refunds Refund events with amount, reason, refunded line items. Every Monday: revenue vs forecast, top movers, anomaly callouts, action items for the team.
Triggered when any SKU's refund rate exceeds 5% — Tablize investigates and suggests likely causes.
Store data hides the real story across orders, line items, and refunds. With Shopify connected, Tablize joins them for you, so “which SKUs actually lost margin after returns” becomes one question instead of an afternoon in spreadsheets.
Once Shopify is authorized, tables like orders and order_line_items sync into a dedicated schema in your workspace’s PostgreSQL — incrementally, so only new and changed rows move after the first backfill. Ask something like “Which SKUs lost the most margin last week after factoring in returns?” and Tablize writes the SQL, runs it, draws the chart, and offers to keep the answer as a report, a scheduled script, or a live dashboard.
A setup teams reach for first — Weekly Shopify brief: Every Monday: revenue vs forecast, top movers, anomaly callouts, action items for the team.
Free to try on your own data. Your first answer in under 60 seconds.
Try free with your data