All templates By NappAI team Reporte de estado de productos de Woocomerce
Este flujo hace un reporte del estado de los productos de una tienda virtual implementada en woocomerce
graph TD
%%{init: {'theme': 'mc','layout': 'elk'}}%%
woocommerce-i6vb7[optener productos de WooCommerce]
style woocommerce-i6vb7 stroke:#a170ff
GoogleGenerativeAIModel-48rjm[Gemini]
style GoogleGenerativeAIModel-48rjm stroke:#a170ff
ParseData-1wdiw[<div><img src="/_astro/braces.Djq0PW4_.svg" style="height: 20px !important;width: 20px !important"/></div>Extraer datos requeridos para el análisis.]
style ParseData-1wdiw stroke:#a170ff
ChatOutput-i4e44[<div><img src="/_astro/messages-square.BaSDmT6g.svg" style="height: 20px !important;width: 20px !important"/></div>Chat Output]
style ChatOutput-i4e44 stroke:#a170ff
Prompt-tx8sr[<div><img src="/_astro/square-terminal.BMOXc-nZ.svg" style="height: 20px !important;width: 20px !important"/></div>Formateo de datos a JSON]
style Prompt-tx8sr stroke:#a170ff
AdvancedAgent-u831e[Agent]
style AdvancedAgent-u831e stroke:#a170ff
woocommerce-i6vb7 -.- ParseData-1wdiw
linkStyle 0 stroke:#a170ff
ParseData-1wdiw -.- Prompt-tx8sr
linkStyle 1 stroke:#a170ff
Prompt-tx8sr -.- AdvancedAgent-u831e
linkStyle 2 stroke:#a170ff
GoogleGenerativeAIModel-48rjm -.- AdvancedAgent-u831e
linkStyle 3 stroke:#a170ff
AdvancedAgent-u831e -.- ChatOutput-i4e44
linkStyle 4 stroke:#a170ff
Reporte de estado de productos de Woocomerce
🧩 Overview
This workflow automates the generation of an executive report on the status of products within a WooCommerce store. It extracts product data, transforms it into a structured format, and uses an intelligent AI agent to analyze the information. The agent synthesizes a comprehensive report focused on inventory status, pricing strategy, and catalog organization, providing actionable insights to improve product presentation and catalog management.
⚙️ Main Features
- Automatically fetches product data from a WooCommerce store via its REST API.
- Transforms raw product data into a clean, structured JSON format suitable for analysis.
- Utilizes a configurable AI agent to perform a detailed, multi-faceted analysis of the product catalog.
- Delivers a final, formatted executive report directly to a chat interface for easy review.
🔄 Workflow Steps
| Component Name | Role in the Workflow | Key Inputs | Key Outputs |
|---|---|---|---|
| WooCommerce | Data Extraction: Connects to the WooCommerce store and retrieves a list of product data. | Store API credentials, product query parameters (e.g., limit). | Raw product data. |
| Parse Data | Data Transformation: Extracts specific fields from the raw product data and formats them into a readable text template. | Raw product data from WooCommerce, a custom text template. | Formatted text containing key product details. |
| Prompt | JSON Formatting: Packages the formatted product text into a structured JSON object to prepare it for the AI agent. | Formatted product text. | A JSON-formatted message containing the product dataset. |
| Google Generative AI Model | AI Model Provider: Supplies the language model that powers the analytical capabilities of the agent. | API key, model configuration (e.g., temperature, token limit). | A configured language model instance. |
| Advanced Agent | Analysis & Reporting: An intelligent agent that receives the product data JSON and, guided by a detailed system prompt, analyzes it to generate an executive report. | JSON-formatted product data, the language model, a system prompt defining the analysis criteria. | A comprehensive analytical report. |
| Chat Output | Result Delivery: Presents the final executive report generated by the agent in a readable chat format. | The analytical report from the agent. | A displayed chat message containing the report. |
🧠 Notes
- The workflow requires valid WooCommerce API credentials (Consumer Key and Secret) to connect to the target store.
- The analysis is guided by a detailed system prompt within the Advanced Agent, which defines the six critical aspects of the report: inventory status, pricing strategy, information completeness, catalog organization, update frequency, and technical configuration.
- The Google Generative AI Model component must be configured with a valid API key and a supported model name.
- The output is designed as an executive summary, focusing on quantitative metrics, identified issues, and actionable recommendations rather than raw data.