How is Chatref trained to answer hotel-specific questions?

The first step is uploading everything your front desk team already knows. You can add PDFs, plain text, website pages, or full sitemaps that cover room descriptions, check-in procedures, dining options, local attractions, and house rules. Guest FAQs are especially powerful - a well-organised FAQ document teaches Chatref exactly how to answer the most common questions in your preferred tone. All responses stay grounded in this custom knowledge base, so guests never receive generic or invented information.

After the knowledge base is in place, the AI agent immediately becomes capable of handling real guest queries. You can test it right away in the Chatref playground by typing questions like “What time is check-in?” or “Is there a pool?”. Because the agent uses retrieval-augmented generation solely on your content, it doesn’t guess or fabricate details. You refine its accuracy by adding more documents or clarifying niche policies - no coding or model tuning required. The result is a hotel AI training process that is both fast and continuously improvable.

Chatref can do more than just answer questions. With custom actions, you configure the chatbot to collect specific details (booking reference, dates, room preferences) and trigger your hotel’s tools or forward requests to staff. A guest can ask for a late checkout or extra towels, and Chatref will gather the necessary information and push it to your team’s inbox. This turns the chatbot into an active participant in guest service, reducing repetitive manual tasks.

Your team gets a clean, no-code interface designed for non-technical hotel staff. The onboarding process is entirely self-serve - create your first agent, upload content, and embed the widget. Staff can then monitor conversations in the shared inbox, stepping in only when a human touch is genuinely needed. Chatref also surfaces what guests are asking most, helping you proactively update the knowledge base with new seasonal offers or changed policies. It’s a loop that keeps answers fresh and your team in control.

What information is needed to train Chatref? Upload any documents that contain answers your guests regularly need. Common examples include room details, rates and packages, amenity descriptions, dining menus, check-in/check-out policies, pet rules, parking information, nearby attractions, and a dedicated guest FAQ. You can use PDFs, text files, website pages, or entire sitemaps. The more targeted the content, the more precise the AI’s responses become.

How does Chatref learn from guest interactions? Chatref does not automatically alter its knowledge base based on conversations - that would risk introducing inaccuracies. Instead, your team reviews conversation analytics and guest feedback to identify gaps or outdated information. You then manually update the knowledge base (for example, adding a new seasonal spa menu) to improve future answers. This approach keeps every response grounded in verified, human-approved content.

Can Chatref be updated with new hotel information? Absolutely. You can upload new documents, edit existing text, or point to updated URLs at any time. Changes take effect immediately, with no downtime. If you launch a summer promotion or adjust your cancellation policy, Chatref will reflect it the moment the updated knowledge base is saved.

What is the training process for staff to use Chatref? Staff onboarding requires no technical skills. After signing up, a team member creates the first agent, uploads the hotel’s content, and customises the widget appearance. The intuitive conversation inbox lets anyone review, tag, or take over chats with full context. Chatref’s own onboarding flow guides you through these steps, and the live playground serves as a sandbox for testing and refining answers before going live.