No credit card required | 14 days | 10 million records | 30 pipelines
or sign up with your email
By signing up, you agree to Kondado’s Terms of service and Privacy policy
Ploomes
Ask Claude, ChatGPT or any MCP client about your Ploomes data using natural language chat. Query deal stages to identify where opportunities stall in your sales funnel, analyze proposal approval rates by product group, or compare client acquisition costs across different segments without writing SQL or manually exporting spreadsheets.
Kondado replicates Ploomes data through 36 pipelines accessible via MCP, enabling analysis in Claude, ChatGPT, and other MCP clients. The same data also powers ready reports in Power BI and Looker Studio for visual monitoring.
Sales managers track funnel velocity by asking about deal progression across stages and loss reasons. Marketing analysts segment client sources to optimize acquisition spend and identify high-value segments. Operations teams monitor task completion rates, user activity, and document workflows to balance workloads and ensure compliance. Each role gets immediate answers directly in chat, turning complex CRM data into actionable business intelligence without technical setup.
The pipelines below expose every aspect of your Ploomes CRM for conversational analysis. Query the Deals and Deal Stages pipelines to track conversion rates between proposal and closure, or combine the Clients and Client Segments pipelines to analyze which customer categories drive the most revenue. The Products and Product Families pipelines reveal inventory performance and category trends, while the Interaction Records and Tasks pipelines help measure team productivity and client engagement frequency. Cross-analyzing the Sales, Sales Stages, and Deal Loss Reasons pipelines uncovers patterns in won versus lost opportunities, revealing which funnel steps need attention. Data updates on a configurable schedule, ensuring your AI chat reflects the latest client interactions, deal movements, and task completions.
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.
Go to app.kondado.com.br to add Ploomes as a data source and select a Via Kondado destination. Your data replicates on a configurable schedule and becomes ready for AI access and dashboard templates.
In Claude (Web or Desktop) or ChatGPT, open the MCP server settings and add Kondado. Authorize once via OAuth at app.kondado.com.br. Both clients use the same simple GUI setup with no command line needed.
Ask natural language questions about Ploomes deals, clients, or tasks in your AI chat. For visual recurring monitoring, open a ready Power BI or Looker Studio report template.
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