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Olist Tiny
Ask Claude, ChatGPT, or any other MCP client about your Olist Tiny data using natural language chat. Query total sales from Orders and Order Details to track daily revenue, check outstanding balances in Accounts Receivable for cash flow visibility, or compare current Product Stock levels against recent invoices to identify replenishment needs. The AI reads your replicated ERP data and returns precise answers instantly, eliminating the need to navigate complex menus or build manual spreadsheets.
Kondado replicates data from Olist Tiny into 15 pipelines accessible via the open MCP standard, enabling direct analytical chat in Claude, ChatGPT, and other compatible clients. The same data also powers ready reports in Power BI and Looker Studio for teams who prefer visual dashboard monitoring.
E-commerce managers track order status and fulfillment metrics by asking about the Orders and Order Details pipelines to monitor delivery performance. Finance teams query Accounts Payable and Accounts Receivable to manage working capital and payment schedules through simple conversational questions. Marketing and support analysts combine CRM Issues with Contacts data to understand ticket resolution trends and customer satisfaction patterns. All business users gain immediate operational insights without technical setup, using the chat interface they already use daily.
The fifteen pipelines below contain every field needed to run your Olist Tiny operations through conversational analysis. Query the Orders and Order Details pipelines to calculate average order values and identify peak sales periods, or examine Accounts Receivable alongside Invoices to understand payment collection cycles and outstanding customer balances. The CRM Issues and CRM Issues Details pipelines reveal support ticket volumes and resolution timelines, while Product Stock combined with Products data shows inventory turnover and category performance.
Combining multiple pipelines unlocks deeper cross-functional insights, such as correlating sales velocity from Order Details with available Product Stock to forecast replenishment needs. Accounts Payable Details paired with Accounts Receivable Details give finance teams a complete view of cash flow timing across vendors and customers. Since Kondado updates your data on a configurable schedule, every question in Claude or ChatGPT reflects the latest transactions and inventory changes from your ERP.
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.
Log in at app.kondado.com.br, add Olist Tiny as a data source, and select a Via Kondado destination. Your ERP data lands ready for AI access and for the Power BI and Looker Studio dashboard templates.
In Claude Web or Desktop, or in ChatGPT, open the connection settings to add the Kondado MCP server and authorize once via OAuth. The setup is identical in both clients and requires no command line tools or JSON configuration.
Start asking natural language questions about your Orders, Accounts Receivable, or Product Stock data. For visual recurring monitoring of KPIs, open a ready Power BI or Looker Studio dashboard template using the same replicated data.
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.
Try out all the features for free for 14 days