This Langflow flow processes incoming sales proposal requests by validating product availability and generating appropriate responses based on stock levels.

The flow begins by receiving webhook data containing customer and product information, which gets converted to a structured format. This data is then processed to extract key product details like product ID and quantity using specialized parsing components. A SQL query tool checks the actual inventory levels against the requested quantities to determine stock availability.

Based on the stock validation results, the flow uses conditional routing to direct the process down one of two paths. If sufficient stock is available, it generates a complete commercial proposal with customer details, pricing, and terms. If stock is insufficient, it creates a polite message explaining that the proposal cannot be generated due to inventory constraints. Both paths ultimately output their responses through chat components for delivery to the customer.

The system leverages prompt templates to maintain consistent proposal formatting while incorporating dynamic customer and product data. Language model components generate the actual proposal text, while structured output components ensure the final format meets business requirements.

You can extend this flow using additional Langflow components like API request nodes to pull pricing from external CPQ systems, conditional logic components to apply discount tiers based on customer segments, or file saving components to automatically store proposals in document management systems. The flow can also integrate with e-signature platforms through webhook endpoints or connect to CRM systems to update opportunity records. For companies with complex approval workflows, you can add subflow components that route high-value proposals through management review processes before final delivery.

The entire system can be deployed as an embedded chat widget for sales teams or exposed through APIs for integration with existing sales tools. Advanced implementations might incorporate competitive intelligence by adding web search components or use specialized vector store bundles to retrieve relevant product specifications and compliance documentation. The modular nature of Langflow's component system makes it straightforward to adapt the flow for different industries and proposal requirements while maintaining the core validation and generation logic.