Zammad Open Tickets

This workflow enables automatic synchronization between Zendesk tickets and GitHub Issues. It automatically checks whether a GitHub Issue is associated when a new ticket is created. If it is not associated, a new Issue is created; if it is already associated, a comment is added to the corresponding Issue. The ticket will update the GitHub Issue number to ensure consistency and traceability of information, effectively improving collaboration efficiency between the customer service and development teams, while reducing information omissions and duplicate work.

This workflow leverages AI technology for deep integration with e-commerce platforms to create an intelligent after-sales customer service chatbot. It can handle customer inquiries regarding order status, logistics tracking, and after-sales policy consultations in real time, ensuring the security of customer information and automatically escalating complex issues to human customer service representatives. This significantly enhances customer response speed and satisfaction. Additionally, this system alleviates the pressure on human customer service agents, allowing them to focus more on handling complex issues.

This workflow automates customer service processing by integrating online forms, WhatsApp Business Cloud, and Asana. When a customer submits an inquiry, the system automatically sends a confirmation message and generates a support ticket in Asana, helping the team follow up efficiently. This approach significantly enhances response speed and service quality, streamlining customer communication processes, and is suitable for the customer support needs of various types of businesses.

This workflow automates the management of customer inquiries and appointments through an AI smart assistant. Customers can initiate inquiries in the website chat window, and the system intelligently identifies their needs and checks the calendar for available times, automatically scheduling a 30-minute video conference. Additionally, the workflow can automatically send an email to the responsible party for follow-up when the customer is not ready to make an appointment, ensuring a seamless transition in service. This efficient process significantly enhances customer response speed and optimizes the company's customer relationship management.

This workflow automatically receives customer conversation content, utilizes AI technology for intelligent summarization, intelligently determines the relevant department for feedback, and sends notification emails. At the same time, it synchronizes meeting minutes to the customer management system. It integrates multi-channel data input and automated processing, significantly enhancing the efficiency and accuracy of customer feedback handling, ensuring timely information delivery, and helping businesses better respond to customer needs, thereby improving service quality and customer satisfaction.

This workflow enables bidirectional automatic synchronization of ticket and contact information between Zendesk and HubSpot, ensuring real-time data consistency. By performing scheduled checks and conditional evaluations, it automatically updates customer support requests, reducing duplicate entries and enhancing the efficiency and accuracy of data management. It is suitable for customer support and sales teams that require cross-system collaboration, facilitating digital transformation and improving the quality of customer service responses and sales management.

This workflow automatically retrieves user activity data from the Strava platform at regular intervals to monitor daily activity duration. If the activity time is insufficient, it sends reminder emails to the responsible partners. The aim is to motivate users to maintain their exercise habits, enhance self-discipline in health management, and help overcome the issue of lack of motivation to exercise. It is suitable for individuals, teams, and fitness coaches, promoting the development of a healthy lifestyle.

This workflow enables seamless switching between the intelligent customer service robot and human agents. It efficiently collects user information through human-computer interaction mechanisms and smoothly transitions to human service when needed. By utilizing multi-state management and Redis storage, it ensures a smooth and precise conversation flow. The robot automates the handling of common inquiries, while complex issues are addressed by human intervention, enhancing customer experience and service flexibility. This is applicable in scenarios such as customer service centers, sales consultations, and after-sales support.