AI-Driven Intelligent Big Data Query Assistant for Supply Chain

This workflow allows users to export all content from a WordPress website into a CSV format file with just one click, automating data retrieval, format conversion, and file saving, thereby simplifying the cumbersome export process. Users only need to manually trigger the process, and the system will complete the entire operation. It is particularly suitable for administrators and operations teams that need to regularly back up, migrate, or analyze data. This tool significantly enhances the efficiency of data export, facilitating subsequent data management and utilization.

This workflow is specifically designed for Discord server administrators, allowing them to batch retrieve member information for specific roles and sync it to Google Sheets. It fetches the member list in pages to avoid performance issues caused by pulling all data at once and supports incremental updates to ensure data accuracy and continuity. Users only need to configure the relevant parameters, enabling a quick start that significantly enhances the efficiency and convenience of member management, making it suitable for community operation teams that require regular analysis and maintenance of member data.

This workflow automates the collection of basic user information from randomly generated users via an API, and it real-time appends the name and country fields to a Google Sheets spreadsheet. It also supports exporting to CSV files. With a fully automated process that requires no manual intervention, it ensures secure data transmission and greatly enhances the efficiency of data collection and management. This workflow is suitable for various scenarios, including market research, software testing, and educational training.

This workflow automatically extracts business information based on specific keywords from Google Maps using Dumpling AI, including name, address, phone number, website, and more. The structured data is then saved to Google Sheets. Users can manually or schedule triggers for this process, eliminating the hassle of manual searches, quickly obtaining potential customer leads, and improving data collection efficiency. It is suitable for various scenarios such as marketing, data analysis, and business development, helping users conduct in-depth market research and customer expansion.

This workflow automatically retrieves checkout session data from the Stripe API for the past 20 days, supporting pagination to obtain complete information. It splits the returned data, focusing on the extraction and filtering of custom fields, allowing users to filter valid session data based on criteria such as nickname and job title. This process significantly enhances the efficiency of data acquisition and analysis, making it suitable for operational and analytical needs in industries such as e-commerce and SaaS, aiding in precise marketing and customer segmentation.

This workflow automates the scraping of company information from Glassdoor and utilizes advanced language models to generate intelligent summaries, providing concise company profile reports. It integrates functions such as data scraping, status polling, and text processing, enabling efficient and accurate extraction and summarization of web information. This addresses the cumbersome issues of traditional manual collection and analysis processes, making it suitable for fields such as human resources, recruitment, and market research. It enhances information processing efficiency and helps users make more informed decisions.

This workflow aims to automate the acquisition of visitor data from the Matomo web analytics tool, focusing on user behavior for those who have visited more than three times. Through advanced AI models, in-depth analysis is conducted to generate SEO optimization recommendations, and the results are systematically stored in a Baserow database. This process not only enhances the efficiency of data analysis but also provides professional insights and optimization strategies for website operations teams, SEO experts, and small businesses, helping to accurately identify areas for website improvement and enhance traffic quality and conversion effectiveness.

This workflow automatically retrieves all order data by calling Squarespace's Commerce API and accurately synchronizes it to Google Sheets. Users can set filtering criteria such as query time range and order status to achieve personalized data synchronization, supporting both manual triggers and scheduled tasks for real-time order information updates. This process simplifies the order data export procedure, prevents data omissions, and enhances the data management efficiency of the e-commerce operations team, facilitating subsequent analysis and decision-making.