As the number of idle fish users continues to grow, more and more people are beginning to sell second-hand goods, virtual goods, digital materials and other content through idle fish. But as the volume of orders and inquiries increased, a problem gradually emerged: a large number of repetitive chat replies, order processing, and product management took up a lot of sellers 'time.
Buyers often ask,"Are there any more goods?" "When will the shipment be delivered?" "How to use it?" "Can I give you a discount?" These questions may seem simple, but repeated replies dozens or even hundreds of times a day will seriously affect operational efficiency.
Recently, a project called xianyu-auto-reply has attracted attention. It hopes to use automation technology to help idle fish sellers reduce labor costs and achieve more efficient store management.
This project is essentially a set of idle fish automated operation system, integrating automatic response, AI customer service, multi-account management, automatic delivery, product management and other functions. Compared with traditional simple keyword reply tools, it is more like a complete idle fish operation backend, allowing sellers to centrally manage accounts, products and orders.
Among them, automatic reply is one of the core functions of the project. The system can conduct intelligent matching based on the content of messages sent by users. For example, when buyers inquire about common questions such as inventory, delivery time, and product usage methods, responses can be automatically generated to reduce manual duplication. At the same time, the project also supports access to AI capabilities, so that replies are no longer limited to fixed templates, but can communicate more flexibly based on chat content and improve the communication experience.
For users who operate multiple idle fish accounts, the multi-account management function is also very practical. Many sellers operate multiple stores at the same time, selling different types of products, but account switching, message processing, and order follow-up will increase management pressure. By unifying the backend, it is more convenient to view account status and handle daily tasks.
If you are selling virtual goods, such as software authorizations, information, redemption codes, etc., the automatic shipping function can further improve efficiency. After the user makes payment, the system can automatically complete the delivery of goods, reduce manual intervention, and achieve near-round-the-clock unattended operation.
From a technical perspective, this is not a simple script, but a complete Web automation system. The project uses FastAPI as the back-end framework, React + TypeScript to build a management interface, and combines technologies such as MySQL, Redis, and Playwright to achieve message processing, data management, and browser automation.
The overall structure can be roughly understood as:
Front-end management backend → Back-end services → Message processing system → Automated tasks → Data storage
Through modular design, developers can further expand more functions, such as intelligent customer service optimization, data analysis, product management enhancements, etc.
For ordinary idle sellers, the greatest value of this type of tool lies in reducing duplication of labor and investing time in product selection, operation and customer maintenance; for developers, it is also a practical case for learning automation, e-commerce system development, and AI customer service applications.
Of course, the use of automation tools also needs to pay attention to platform rules. Any automated system should be used to improve efficiency, not to engage in abusive marketing or harass users. Only by making reasonable use of automation can we truly help businesses improve their operational capabilities.
With the development of AI and automation technology, e-commerce operations in the future will increasingly rely on tools to improve efficiency. like xianyu-auto-reply Such open source projects are also exploring a new possibility: allowing individual sellers to have operational capabilities similar to professional teams.
Project address: GitHub Search zhinianboke/xianyu-auto-reply
This version is closer to the "Technical Information/Open Source Project Recommendation" style of the public account, and the reading rhythm will be more natural than the previous version.