What business questions can Claude or ChatGPT answer about my Tray store in chat?
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You can ask about revenue trends from the Orders pipeline, conversion rates by product category using Sold Products data, or customer lifetime value from the Customers pipeline. The AI calculates metrics like average order value, identifies top performing discount coupons, and compares marketplace performance between Tray native orders and Order Details: Mercado Livre entries. It answers follow-up questions about specific date ranges or product segments without requiring manual filter configuration.
How do I configure Claude or ChatGPT to access my Tray data through Kondado?
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In Claude Web or Desktop, or directly in ChatGPT, navigate to the connection settings and add the Kondado MCP server. You will be redirected to app.kondado.com.br to authorize access via OAuth, granting the AI read permissions to your replicated Tray pipelines. The same GUI-based setup works for both clients, with no command line tools or JSON configuration required.
Can the AI execute actions on my Tray store like updating inventory or placing orders?
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No, the connection is read-only analytical chat. Claude, ChatGPT, and other MCP clients can query your replicated Tray data to generate insights and calculations, but they cannot write data back to Tray, place orders, or carry out operational commands. This ensures your store data remains unchanged while you explore metrics and ask exploratory questions safely.
How frequently does Tray data update for analysis in the AI chat?
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Tray data replicates on a configurable schedule that you set in Kondado, typically ranging from hourly to daily intervals depending on your operational needs. This means you can ask about yesterday's sales or recent order status with confidence that the AI references fresh data. The update frequency applies consistently across all 14 pipelines, including Orders, Payments, and Sold Products.
What ready dashboard templates are available for Tray data besides the AI chat?
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Kondado provides ready reports in Power BI and Looker Studio that visualize the same Tray data available to the AI, offering recurring monitoring through charts and scorecards. These templates cover e-commerce KPIs like revenue trends, inventory status, and customer acquisition metrics. While the AI excels at exploratory questions and ad-hoc analysis, the dashboards provide standardized visual monitoring for daily operations.
What is the difference between asking the AI about Tray data and opening a ready dashboard?
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The AI chat allows flexible, conversational exploration where you ask spontaneous questions like "Which discount coupons performed best last Tuesday" or "Compare Mercado Livre vs direct sales this month". Ready dashboards in Power BI or Looker Studio display fixed visualizations updated automatically for regular monitoring of established metrics. Use the AI for deep-dive investigations and the dashboards for at-a-glance operational oversight.
Which specific Tray pipelines can I query when chatting with Claude or ChatGPT?
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You can ask about all 14 available pipelines including Customers, Orders, Sold Products, Payments, Order Invoices, Discount Coupons, Products, and Order Details: Mercado Livre. The AI understands relationships between these pipelines, allowing questions that cross-reference product variants with sales transactions or connect newsletter subscribers with purchase history. Each query leverages the 328 fields available across the complete Tray schema.
Do I need programming skills to connect Tray data to Claude or ChatGPT?
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No coding is required: the setup uses graphical interfaces in both Claude and ChatGPT where you simply add the Kondado MCP server and authenticate via OAuth at app.kondado.com.br. There are no CLI commands, JSON files, or API keys to manage. Business users, marketing analysts, and e-commerce managers complete the configuration in minutes without technical assistance.
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