Connect Magento to Lovable

Once your Magento data is in Lovable, you can:

• Track revenue in real time: Pull grand totals, subtotals, discounts, and taxes per order into a live dashboard that updates without manual exports.
• Rank product performance: Sort SKUs by units sold, original price, and quantity to identify bestsellers and dead stock in seconds.
• Monitor order statuses: Filter orders by pending, processing, complete, or canceled, and spot fulfillment bottlenecks at a glance.\
• Segment customers instantly: Separate guest checkouts from registered customers, track repeat buyers, and surface high-value accounts by billing region.
• Analyze refunds by SKU: Track total refunded amounts, item-level refund quantities, and tax refunded to pinpoint which products drive the most returns.
• Compare multi-store performance: Ask Lovable to compare revenue, order volume, and AOV across stores using order_store_id and account_name fields.
• Connect revenue to marketing: Blend Magento order data with Facebook Ads, Google Ads, or TikTok spend to see which campaigns actually drove purchases, not just clicks.

Yes. Prompt Lovable to generate a custom revenue app using your live order_grand_total, orders_count, order_subtotal, and date fields. Unlike a template dashboard, Lovable builds a deployable app with your actual store data wired in: UI, logic, and layout in one go. No BI tool, no developer, no static export.

Yes. Windsor supports 350+ data sources, so you can blend Magento with Facebook Ads, Google Ads, or GA4 inside Lovable. Ask questions like ‘Which ad campaign drove the most completed Magento orders last week?’ and get instant answers without switching tools.

Yes. Windsor pulls order_item_sku, order_item_name, order_item_qty_ordered, order_item_price, and order_item_row_total at the line-item level. Ask Lovable to rank your top 10 SKUs by revenue, identify which products have the highest cancellation rates, or compare average item price over time.

Beyond basic performance summaries, you can use more advanced, specific prompts to uncover deeper insights. For example:

• Compare gross revenue vs. net revenue (after discounts and refunds) by week for the last 90 days. Calculate the discount impact rate and refund rate separately for each week, and flag weeks where either metric deteriorated by more than 2 percentage points.

• Rank your top 20 SKUs by total revenue for the last 60 days. For each, show units ordered, average item price, and row total. Flag any SKU where average price dropped more than 10% compared to the previous 60-day period.

• Segment all orders from the last 30 days into guest checkout vs. registered customers. For each segment, show total orders, average grand total, average discount applied, and refund rate. Identify which segment has a higher order value and which has a higher return rate.

• Analyze shipping cost as a percentage of order subtotal across all shipping methods used in the last 90 days. Identify which shipping methods have the worst margin profile (highest shipping cost relative to subtotal) and calculate the revenue exposure if those methods were repriced.

• Break down orders by status (complete, processing, canceled) for each week over the last 90 days. Calculate the cancellation rate per week and identify whether spikes in canceled orders correlate with specific stores, shipping methods, or discount codes.

Windsor.ai offers a Free forever plan that includes 1 source, 1 account, and 1 user. If you need more data sources alongside Magento, paid plans start at $19/month.

Yes, we have helpful resources to help you get started. You can explore our official documentation and tutorials for seamless Magento to Lovable integration with Windsor.ai:

• Magento Field Reference
• Lovable Integration Video Tutorial
• Lovable Integration Documentation