1. Product Introduction

3Chat.ai: An Active AI Growth Engine Designed for Chinese Sellers

3Chat.ai is an active AI customer service agent specifically designed for Chinese sellers. It breaks through the traditional passive response logic of customer service, transforming every customer interaction into a driver for business growth with the help of the **"Marketing + Customer Service" dual engine.

In the pre-sales phase, 3Chat.ai acts as an "AI Growth Officer" with sales strategy thinking. It is not just a Q&A tool but can actively execute the "intelligent marketing SOP"—precisely understanding user intent, identifying upselling opportunities, and directly enhancing conversion during dialogue through an industry-specific sales script library and multi-turn rhythmic conversations.

In the after-sales phase, it transforms into a "business expert." Based on your established business goals (such as increasing repurchase rates), it can autonomously execute corresponding business operations, accurately identifying repurchase opportunities and enhancing customer loyalty and lifetime value.

2. Solution Value

3Chat.ai is an active AI customer service agent designed for Chinese sellers. As a pre-sales "AI Growth Officer," it actively executes marketing SOP to guide customer conversion; transforming into an after-sales "business expert" that enhances repurchase and customer lifetime value. The activity of 3Chat.ai runs through the entire process of customer reach, conversion, and repurchase, creating an automated growth loop driven by proactive business expansion.

• 🧠 Active AI Agent: Capable of autonomous decision-making, goal-oriented and dynamically adaptive, capable of independently handling complex tasks, and turning every customer service interaction into a business growth opportunity.

• 🔗 Built on MCP: Quickly integrates your marketing, logistics, ordering, and other business systems at low cost through the MCP protocol, allowing the AI to access real-time data to answer customer inquiries accurately.

• 🕸️ Multi-Channel Aggregation and Integration: Supports various channels such as official websites, independent sites, WhatsApp, email, WeChat Official Accounts, etc., to unify customer consultations and ensure that every interaction data is effectively consolidated.

• 🔍 AI Data Insights: Continuously learns and analyzes customer communication records, self-optimizing customer service strategies, and continually improving key metrics such as customer satisfaction (CSAT).

• 🤝🏻 Seamless Collaboration: When human intervention is needed, the AI will share the complete communication history with staff to ensure seamless service continuity and guarantee a high-quality customer experience.

• ☝🏻 Multilingual and 7*24 Customer Response: Provides around-the-clock, multilingual automated services and personalized agents, helping Chinese sellers easily cope with global customer service scenarios.

3. Core Scenarios

3.1 Pre-sales: Active AI "Marketing SOP" Executor

1. Strategic Sales Scripts: Pre-set SOPs for industries such as electronics, beauty, and cross-border trade, dynamically adjusting the rhythm of scripts (e.g., first exploring pain points → then guiding solutions → finally drive promotions).

2. Proactive Lead Collection and Conversion: Forms customer tags based on conversation content, identifies high-intent customers, and automatically pushes trial applications, live broadcast appointments, and corporate WeChat messages, with a conversion rate increase of 30%+

3. Proactive Marketing: Integrates order data from Shopify and Amazon, automatically recommends accessories after customer orders (e.g., "The phone case you purchased can be paired with an anti-fall film for only $5.99").

Private domain conversion + community marketing revitalizing potential customers to promote conversion

3.2 After-sales: The Expert Customer Service that "Understands Business"

1. Industry-Level Problem Diagnosis: Learns professional knowledge such as medical device fault codes/cross-border logistics rules, with an accuracy rate > 92%

2. Multi-Modal Troubleshooting: Supports "image + text" problem descriptions (e.g., uploading a photo of a faulty refrigerator), AI locates fault codes and outputs repair plans.

3. Autonomous Decision-Making and Action: In actual business scenarios, invokes third-party systems based on customer needs, expanding the ability boundary.

Intelligent Secondary Marketing Follow-up

Experience 3Chat.ai Intelligent Customer Service Now 👈 Providing expert-level service for your customers 24/7!

📞 Contact us for customized solutions

📩 Email: contact@3chatai.com

🌐 Official Website: www.3chatai.cn

4. Product Features

4.1 Multi-Channel Aggregation and Integration, Unified Management of Customer Inquiries

👇 Set up the intelligent customer service expert for the official website and brand portal! Provide precise answers to customer inquiries based on the knowledge base, easily handling various inquiries on the official website, and becoming the intelligent customer service expert that the portal relies on!

👇IM Collaboration Platform Seamlessly integrated with Feishu and other enterprise IM collaboration platforms

👇 Quick Email Setup, Parsing, and Handling Supports multi-platform email configuration, centralized management in the background, automatically categorizes customer emails (e.g., inquiries, complaints, collaborations), and generates priority tags. AI drafts reply suggestions, such as attaching product manual links or appointment forms, for manual review and one-click sending.

👇 Instant Messaging and Social Media Tools Supports major global instant messaging and social media tools such as WeChat Official Account, WhatsApp, automatically synchronizing conversation records and supporting real-time translation of inquiries in 26 languages, breaking language barriers and ensuring seamless cross-border services!

4.2 Customer Service Agents Built on MCP, Flexibly Integrating Business Systems

👆MES System Integration Fully understands every entity, API, and attribute field in MES and other business systems. When a user inquires about order number, it can intelligently invoke the MES "query production progress" API to obtain a full list of production orders, production progress, and related information!

👆ERP System Integration Seamlessly integrates with ERP, able to look up the quantity of BOM in the MES system based on user context and requirements, and place new orders in the ERP. Deeply calls different business systems to achieve true AI-native integration!

👆 Business Integration Built on MCP Built on the MCP protocol for integrated interlinking, enhancing the LLM's contextual awareness capabilities and expanding its task collaboration capability by providing real-time data, domain knowledge, or dynamic information; allows marketing, customer service, logistics, production, and other third-party systems to seamlessly integrate at a very low cost.

4.3 Personalized Pre-set Intelligent Agents, More Professional Customer Service

👇 Set up your customer service agent with multi-dimensional and multi-modes Role, response style, response length, condition adherence restrictions, keywords, and many other configuration options to truly build the customer service profile you desire!

👇 AI Sandbox, Pre-set what you see is what you get Pre-set intelligent agents in multiple dimensions and modes can be quickly tested through the AI sandbox to see the true state of the agent.

👇 Rich Custom Visual Settings Configuration options like brand logo, color, Slogan, etc., allow the intelligent agent to be filled with brand elements from the inside out.

4.4 One-Click Data Import, Multi-Dimensional Feature Auto-Construction

👇 AI-native Intelligent Customer Service Assists in all aspects of customer service

👇 Covering 26 global languages, Fully adapted to various mobile devices

👇 Mining Data Insights, Continuous Optimization Analysis Forms customer profiles based on inquiries to continuously analyze and optimize customer service strategies, enhancing customer satisfaction.

Experience 3Chat.ai Intelligent Customer Service Now 👈 Providing expert-level service for your customers 24/7!

5. Customer Cases

5.1 Client Overview

• Company Name: KingSmith

• Established: 2015

• Brand Philosophy: Make more people love a healthy and active lifestyle.

• Industry: Smart Fitness Hardware / Cross-Border E-commerce

https://www.kingsmith.com.cn/goods_all

5.2 Project Background

KingSmith is a company focused on the R&D, production, and sales of smart fitness equipment, known for its innovative folding smart fitness devices, primarily including folding smart walking machines, such as the WalkingPad series, a new category of fitness equipment created by KingSmith; folding smart treadmills, X21 treadmills, etc. KingSmith adopts an international strategy of "difficult tasks first" by prioritizing entry into mature, competitive developed markets. Currently, its products have been exported to over 90 countries and regions including the United States, Japan, South Korea, Spain, France, Canada, Germany, with global sales reaching 1.7 million units.

5.2.1 Pain Points:

• High frequency repetitive inquiries in pre-sales and after-sales: Customers often raise a large number of highly similar yet very specific questions, such as product dimensions, compatibility, usage methods, etc. These questions are not complex, but they are numerous and require accurate and timely answers;

• Time zone differences lead to service response delays: The team has significant time differences with the primary target market (e.g., Chinese teams servicing European and American customers), making it unable to respond promptly during customers' active hours. Cross-border sellers often face situations where customers submit inquiries during the day and must wait hours or even overnight for a response. If post-sale issues (e.g., logistics delays, returns, taxation policies) are not addressed promptly, it can easily lead to customer dissatisfaction and negative reviews;

• The abundance of products makes solving sales inquiry issues difficult: With a wide variety of products and complex parameters, customer service personnel find it difficult to comprehensively grasp all information, resulting in inaccurate replies or slow responses. Moreover, high turnover in the customer service industry requires time and money for training new staff, and when facing customer inquiries related to product parameters or usage scenarios, repeated verification is required, impacting communication efficiency;

• Global language diversity leads to ineffective customer service response: Relying on machine translation, semantic inaccuracies, and stiff tone affect customer experience;

• Huge pressure from logistics and timeliness management: Many customers are very concerned about cross-border logistics issues, requiring human customer service to repeatedly check rates and timeliness based on the order number provided by customers, resulting in a highly repetitive work process.

5.2.2 Needs:

1. Build an intelligent customer service system that can efficiently and accurately handle standard Q&A.

2. Achieve intelligent product comparison and personalized product recommendation functionality based on user needs.

3. Establish an efficient after-sales question diversion mechanism to quickly solve common issues and seamlessly transfer complex issues to human agents.

4. Create an integrated intelligent customer service solution that covers the entire pre-sales and after-sales process and serves multiple official website channels.

5.3 Solutions

5.3.1 Business Logic:

1. Knowledge Base Construction: The system imports product manuals, FAQs, parameter comparison tables, and other structured knowledge as the foundation for intelligent Q&A.

2. Intent Recognition and Diversion: Uses NLP technology to recognize user consultation intentions (pre-sales product inquiries, product comparisons, etc.), entering different processing workflows.

3. Pre-sales Intelligent Guide:

• Product Q&A: Directly extracts precise parameter information from the knowledge base to answer users.

• Product Comparison: Generates structured comparison information based on pre-set multiple dimensions (such as basic performance, intelligent functions, price, etc.).

• Personalized Recommendations: Matches product tags based on multi-turn dialogues that collect user tags (such as usage intensity, space, budget, weight, etc.), prioritizing hot-selling products for precise recommendations.

4. After-sales Intelligent Support:

• FAQ Answers: Automatically matches and replies to common questions already existing in the knowledge base.

• Complex Issues Transfer to Human Agents: Automatically provides a transfer link and entry for human agents when recognizing images, videos, or return intentions, enhancing processing efficiency.

5.3.2 Implementation Process:

1. Key Node 1 (Needs Analysis and Knowledge Sorting): Deep communication with clients to clarify core scenarios in pre-sales and after-sales; organizing and structuring all product documents, FAQs, and comparison dimension tables.

2. Key Node 2 (Dialogue Logic and Process Design): Designing a multi-turn dialogue logic tree and tagging system for pre-sales product recommendations; planning after-sales intelligent diversion and transfer to human mechanisms.

3. Key Node 3 (System Integration): Integrating the enterprise ERP system to query real-time information such as prices and logistics; configuring redirect logic for different official websites.

4. Key Node 4 (Testing and Deployment): Conducting full-process functional testing using testing accounts, optimizing Q&A accuracy and dialogue fluency, and finally deploying to the production environment.

5.4 Solution Effectiveness

1. Quantitative Results:

   • Customer service response efficiency is expected to increase by over 70%, with most standard Q&As achieving instantaneous responses.

   • Expected to liberate more than 50% of original customer service manpower, allowing them to focus on handling high-value complex inquiries and sales conversion.

2. Non-Quantitative Benefits:

   • Experience Improvement: Provides users with 7x24 hour immediate, accurate, and consistent standardized services, greatly optimizing the shopping consultation experience.

   • Sales Promotion: The intelligent recommendation system effectively guides user demand, promotes hot-selling strategies, and boosts sales conversion and increase.

   • Management Optimization: Achieves standardization and digital management of customer service processes, laying the groundwork for subsequent data analysis and optimization.

Experience 3Chat.ai Intelligent Customer Service Now 👈 Providing expert-level service for your customers 24/7!

📞 Contact us for customized solutions

📩 Email: contact@3chatai.com

🌐 Official Website: www.3chatai.cn