Train a dedicated support chatbot on your company docs and put it on your site
Feed product manuals, return/exchange policies, and FAQs to AI to train a chatbot that answers your own questions, embed it on your site and LINE, and greet visitors automatically 24/7.
1. Inventory and organize knowledge sources
Organize your site FAQ, product specs, return/exchange and shipping policies, and common complaint responses into clean documents; use AI to unify the format, fill gaps, and remove outdated info so the data you feed the bot is accurate and consistent.
2. Import data to train the bot
Upload the organized documents, URLs, or PDFs to a knowledge-base platform so it auto-crawls and builds a vector index; set the answer tone and Traditional Chinese, and set it to hand off to a human when it can't answer.
3. Test answer accuracy
Test with 20 to 30 questions real customers would ask; for wrong or made-up answers, add documents and adjust prompts, and set no-answer ranges to avoid rashly promising discounts or warranties.
4. Embed on your site and messaging apps
Copy the platform's web widget code into your site, then connect your LINE official account and support chat window, so one knowledge base serves multiple channels at once.
FAQ
Can I build a support chatbot myself without an engineer?
Yes. Platforms like Chatbase, SiteGPT, and DocsBot train by uploading documents or pasting URLs, and embedding on your site is just copying and pasting a snippet of code — no coding throughout.
What if the bot answers wrong or promises offers it shouldn't?
Set the platform to "answer only based on uploaded data" with forbidden ranges, and stress-test with tricky questions during testing, handing off to a human agent when it can't answer, to avoid made-up content.
When data is updated, does the bot update too?
Not automatically — you need to re-upload documents or have the platform re-crawl the URLs. It's best to sync the knowledge base whenever policies or prices change, and check periodically.