This workflow can automatically synchronize new customer data from Shopify to the Odoo Contacts module, ensuring that customer information remains consistently up-to-date between the two systems. By using intelligent judgment, it avoids the duplicate creation of contacts, thereby enhancing data management efficiency and reducing the complexity and errors associated with manual imports, ensuring the completeness and timeliness of customer information. It is suitable for e-commerce businesses that need to manage customer information uniformly, improving the quality of customer data.

This workflow can automatically read emails from the inbox, utilizing advanced A.I. models to generate intelligent summaries that extract important information and deadlines, which are then pushed in real-time to Messenger (such as Line). By distinguishing important emails and marking urgent matters, users can quickly grasp the key points of their emails, significantly reducing reading time, enhancing work efficiency, and avoiding the omission of critical tasks. This is especially suitable for busy professionals and project managers.

This workflow achieves fully automated text-to-speech processing by calling a local Python script to generate audio files, supporting custom text and voice types. Users only need to manually trigger the workflow to easily complete text input, speech synthesis, and audio playback, significantly improving work efficiency and reducing manual operations and errors. It is suitable for various scenarios such as voice broadcasting, education and training, and intelligent customer service, helping developers and content creators quickly generate voice materials.

This workflow is designed to automate the collection and management of potential customer information. After collecting business email addresses through a custom form, the system will verify the validity of the emails and use Clearbit to enrich customer and company information. Ultimately, the complete data will be automatically entered into HubSpot CRM, effectively addressing the issues of invalid emails and incomplete information in traditional collection processes, thereby improving the quality of sales leads and team efficiency, and supporting precise marketing and customer relationship management.

This workflow combines visual AI intelligent agents, web scraping services, and multimodal large language models to achieve efficient structured data extraction from web content. By using webpage screenshots and HTML scraping, it automatically extracts information such as product titles and prices, formatting the data into JSON for easier subsequent processing and storage. It integrates with Google Sheets, supporting automatic reading and writing of data, making it suitable for e-commerce product information collection, market research, and complex web data extraction, providing users with accurate and comprehensive data acquisition solutions.

This workflow receives external requests in real-time through a Webhook interface and reads data from specified tables in Google Sheets to quickly return query results. It simplifies the traditional data query process, ensuring instant access to data and automated responses, thereby enhancing efficiency and convenience. It is suitable for scenarios that require quick data retrieval, such as customer service systems, internal data integration, and the development of custom API interfaces.

This workflow automates the connection between Tiny Tiny RSS and Wallabag, allowing for the scheduled retrieval of user-starred articles and pushing them to Wallabag for convenient offline reading. It ensures secure access through OAuth2 authentication and intelligently determines new articles to avoid duplicate pushes. This process significantly saves users' operational time and enhances information management efficiency, making it suitable for users who wish to efficiently organize and store important reading content.

This workflow is designed to automatically add events from a specified time period to Google Calendar through manual triggering, thereby simplifying schedule management. Users can quickly create calendar events with a single button click, enhancing work efficiency. It effectively addresses the cumbersome issue of repeatedly adding events, making it suitable for individuals and teams that need to quickly input meetings, tasks, or activities, especially in scenarios with frequently changing schedules. This helps users manage their time efficiently, reduce errors, and improve accuracy and convenience.

This workflow implements automated backups for all workflows, ensuring data security. It can be triggered either on a daily schedule or manually. The backup files are named with timestamps and stored in JSON format for easy management. The most recent 7 days of backups are retained, and expired files are automatically deleted to effectively save storage space. Additionally, users are notified in real-time via Telegram about the status of the backup completion, enhancing operational transparency. This is suitable for teams and individuals with high data security needs and those looking to simplify the backup process.

This workflow is an intelligent travel planning assistant that combines large language models and vector search technology to quickly provide personalized travel recommendations to users. Users can interact with the AI agent through chat to obtain precise travel suggestions based on points of interest data. The workflow supports batch data insertion and efficient retrieval, addressing the issues of information fragmentation and low query efficiency commonly found in traditional travel planning. It is suitable for travel service platforms, travel agencies, and related application scenarios.

This workflow automatically joins online meetings through an intelligent assistant, enabling real-time voice transcription to accurately capture and organize meeting dialogues. By leveraging AI technology, it can perform intelligent analysis and generate notes based on keywords, while storing structured data for easy retrieval later. This solution significantly enhances the efficiency and accuracy of meeting records, making it suitable for remote teams, project management, and automatic generation of meeting minutes across various industries, thereby facilitating team collaboration and information transparency.

This workflow automates the processing of information for newly created organizations in Pipedrive. When a new organization is created, it fetches content from the organization's official website and utilizes the advanced GPT-4o model for analysis and summarization, generating detailed company information that is recorded in Pipedrive. Meanwhile, relevant information is pushed to a designated Slack channel, ensuring the team receives the latest updates in real-time. Through this process, businesses can enhance the accuracy and richness of customer data, improving the efficiency of sales and marketing teams.

This workflow automatically extracts and processes sales call records through integration with Salesforce and Gong, filtering for the latest call data and converting it into a standardized JSON format. It regularly retrieves call information from the past four hours, filtering for valid calls to ensure efficient data utilization. Ultimately, the organized data will be passed to the AI processing module for intelligent analysis of sales data, helping the sales team improve performance and customer satisfaction.

This workflow automatically generates, queries, and downloads security score reports for target domains by calling the SecurityScorecard API. Users only need to manually trigger the execution, and the system can quickly integrate and obtain the latest security score data, greatly simplifying the traditional security score query process and enhancing work efficiency and accuracy. It is suitable for corporate security teams, risk management departments, and IT personnel, aiding in the rapid monitoring and assessment of security status.

This workflow receives uploaded invoice images via Webhook, utilizing intelligent OCR technology to automatically recognize and extract key information from the invoices, such as category, date, amount, etc. The data is then stored in an Airtable database for centralized management. Additionally, a formatted expense summary message is generated to enhance the efficiency and accuracy of financial reimbursements and expense management, making it suitable for the automation needs of corporate finance and personal expense records.

This workflow automatically detects daily celebration events, such as birthdays and anniversaries, and extracts corresponding greetings from Google Sheets. It can personalize and generate greeting messages, which are then automatically sent to designated mobile phone numbers via the Twilio service. This process addresses the challenge businesses face in sending greetings on important days, preventing human forgetfulness, enhancing customer and employee satisfaction, while also saving human resources and enriching the care experience within the company.

This workflow automatically scrapes the latest job information from LinkedIn through the Bright Data platform and synchronizes the cleaned data to Google Sheets. Users only need to submit job search parameters, and the system can retrieve and organize job data in real-time, addressing the cumbersome nature of manual information collection and the complexity of data formats. It is suitable for job seekers, sales and marketing personnel, and HR teams, helping them quickly obtain accurate recruitment updates and improve work efficiency and decision-making quality.

This workflow provides the design team with an efficient visual content creation platform that integrates image generation, intelligent review, and file management functions. After users submit a creative brief, high-quality images are generated using AI technology and undergo an intelligent review to ensure that the work meets the needs of the target audience. The generated images and related data are automatically stored in Google Drive and Google Sheets, achieving structured file management. Through automated processes, it significantly enhances design efficiency and work quality, enabling the team to respond more quickly to market demands.

This workflow automatically retrieves order data from the Shopify store every week, quickly calculates the total number of orders and total sales, and records the results in Google Sheets. At the same time, it sends sales report notifications via Slack to help the team stay updated on business dynamics in real-time. This process eliminates the cumbersome traditional manual statistics, ensuring data accuracy and timeliness, making it suitable for e-commerce operations teams, sales analysts, and finance personnel, thereby enhancing work efficiency and team collaboration.

This workflow combines intelligent chat models, vector retrieval technology, and e-commerce platforms to provide users with personalized shopping assistant services. It can automatically identify users' shopping needs, accurately extract product search information, and query inventory in real-time to recommend suitable products. Additionally, for inquiries about store information, the system can also provide intelligent responses, supporting context management for multi-turn conversations, thereby enhancing the user shopping experience and satisfaction.

This workflow automates the reception, verification, and management of user registration information. It can intelligently determine whether a user already exists and create or update user data in the Notion database. At the same time, it automatically associates the user's current semester information, ensuring that user profiles are synchronized with semester status in real-time. This enhances the efficiency of registration and data maintenance, making it suitable for universities and online education platforms, and helps educational institutions achieve fully automated management.

This workflow receives user text prompts in real-time through a Webhook interface and utilizes OpenAI's image generation API to create corresponding images. Users simply need to paste the URL with the prompt into their browser to quickly obtain the AI-generated image. The entire process is automated and responsive. It simplifies the complex traditional image generation process, allowing users to easily create without writing code, making it suitable for various scenarios such as designers, content creators, and developers.

This workflow automatically captures users' running, swimming, and cycling activities by real-time monitoring of Strava's sports data, and conducts in-depth analysis using advanced AI models. It provides users with personalized training feedback and improvement suggestions, helping athletes accurately identify their strengths and weaknesses and develop scientific training plans. Ultimately, the analysis results are sent in a structured HTML format via email or WhatsApp, ensuring that users receive efficient exercise guidance in a timely manner, enhancing their training effectiveness and motivation.

This workflow automates the overlay of image watermarks. Users can download background images and watermarks from specified URLs, automatically extract metadata, and calculate the overlay position, with the watermark centered by default. It addresses the cumbersome manual operations of traditional watermarking, supports efficient batch processing, and is suitable for the automatic generation of brand images, e-commerce product images, and social media content, enhancing work efficiency and the convenience of brand image management.