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Loja Integrada
Ask Claude, ChatGPT or any MCP client about your Loja Integrada store performance using natural language. Query order volumes across specific date ranges, compare coupon effectiveness between customer segments, or investigate stock levels for product variations without writing SQL or manually exporting spreadsheets. The AI reads your replicated data and returns calculated insights instantly through conversational chat.
Kondado replicates Loja Integrada data through 17 pipelines to Claude, ChatGPT and any MCP client, enabling conversational analysis of e-commerce metrics. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.
E-commerce managers track daily sales trends and identify top-performing brands by asking simple questions in chat. Marketing analysts measure coupon redemption rates and segment high-value customers using natural language queries about purchase histories. Operations teams monitor order status transitions and shipping method performance to optimize fulfillment workflows, all without technical setup or data engineering resources.
The following pipelines expose detailed Loja Integrada metrics for AI-driven exploration. Query the Orders pipeline to analyze revenue trends and status distributions, or examine the Product Stock pipeline to identify items with low available quantities requiring immediate replenishment. The Customers and Customer Groups pipelines enable precise segmentation analysis, while Coupons data reveals which discount codes drive the highest conversion rates across your store. Combining Order Invoices with Payment Methods unlocks cash flow analysis by transaction type, and linking Product Prices with Product Variation Grades helps optimize pricing strategies across different SKUs. These automated updates run on a configurable schedule, ensuring your chat queries reflect the latest store activity with near-real-time accuracy.
MCP is an open standard. Add the Kondado server to the connections of Claude (Web or Desktop), ChatGPT, or any other MCP client you use, and authorize via OAuth at app.kondado.com.br. Setup through the UI, no code.
Each item below is something Claude, ChatGPT or another MCP client already knows how to query — no schema setup, no manual mapping.
In 3 steps: connect on Kondado, pick dashboard or chat, analyze.
Select Loja Integrada as your data source and choose a Via Kondado destination to replicate your store data, making it available for AI analysis and the dashboard templates.
Open the connection settings in Claude Web or Desktop, or in ChatGPT, to add the Kondado MCP server and complete the OAuth authorization at app.kondado.com.br once, with no CLI commands or code required.
Start querying your store data using natural language in the chat interface, and for ongoing visual monitoring, open the ready Power BI or Looker Studio report templates.
Same Kondado data, in chat through Claude, ChatGPT and other MCP clients.
How ready dashboards and chat via Claude / ChatGPT work together with your data via Kondado.
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