cs-lazy-tools/chatgpt-on-cs

拼多多、千牛、抖店 AI 客服机器人:自动回复客户咨询、商品答疑、售后申诉处理,支持微信、小红书、京东、抖音、B站、微博等多平台统一接待;可接入 DeepSeek / 通义千问 等大模型,支持自有知识库定制。

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Summary Information

Updated 60 minutes ago
Added to GitGenius on September 15th, 2026
Created on March 7th, 2024
Open Issues & Pull Requests: 3 (+0)
GitHub issues: Disabled - open counts may still include pull requests.
Number of forks: 572
Total Stargazers: 4,408 (+0)
Total Subscribers: 30 (+0)

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Detailed Description

ChatGPT on CS is an AI customer service bot that automates responses to customer inquiries across multiple Chinese e-commerce and social platforms.

The tool addresses the operational burden of managing customer support across fragmented channels by providing a unified interface for handling inquiries, product questions, and after-sales complaints. It works by connecting to multiple platforms including Pinduoduo, Qianniu, Douyin Shop, WeChat, Xiaohongshu, JD.com, Douyin, Bilibili, Weibo, and Zhihu, allowing merchants to receive and respond to customer messages from a single dashboard. The system can be configured with different large language models such as DeepSeek or Tongyi Qianwen, and supports custom knowledge bases so merchants can train the bot on their specific product information and policies.

This tool suits e-commerce merchants operating across multiple Chinese platforms who need to reduce manual support workload without hiring additional staff. It is particularly valuable for sellers on Pinduoduo and other platforms where customer inquiry volume is high. The ability to integrate custom knowledge bases means merchants can maintain brand voice and accuracy by feeding the bot their own documentation, FAQs, and product specifications rather than relying solely on general-purpose model responses.

The project shows active development with regular commits addressing bug fixes and feature additions. The codebase demonstrates ongoing refinement of platform integrations and model connectivity. The tool maintains a public homepage with documentation, indicating sustained commitment to user support and transparency about capabilities.