AI in Hospitality: 8 Practical Uses for Hotels, from Guest Messaging to Occupancy Forecasting
Where does AI in hospitality help? Explore eight hotel use cases, from guest messaging and occupancy forecasting to reviews and energy, plus a pilot plan.
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A custom chatbot is an AI virtual assistant that answers product, order and support questions around the clock on your website, mobile app or WhatsApp. It grounds its answers in your own catalogue, FAQs and order system rather than general internet content, and hands anything it cannot resolve to a live agent, along with the conversation so far.
Let a bot handle the repeat questions. A large share of what reaches customer service is the same handful of questions: "Where's my order?", "How do I return this?", "Is this the right product for me?". Messages sent after hours wait until morning, customers queue at peak times, and your agents spend much of the day typing the same replies.
We build a custom virtual assistant that answers those questions using your own product, order and support information. It draws on the language skills of large language models (GPT, Claude, Gemini, or open-source models running in-house), but grounds every answer in your catalogue, FAQs and order system. Anything it can't resolve is passed to a live agent together with the conversation so far.
Answers around the clock on your website, mobile app or WhatsApp Business: product details, order status, return steps and FAQs. Complaints are routed to the right team and anything unresolved goes to a live agent.
Works over company policies, process guides and technical documents, so questions like "How do I book leave?" or "How do I enter an order in the ERP?" are answered before they reach HR or IT.
Clarifies what the customer needs with a few questions, then suggests suitable products from your catalogue with a side-by-side comparison. Undecided visitors are put in touch with your sales team.
Walks users through step-by-step troubleshooting for faults or installation queries. If they upload a photo, image analysis narrows down the issue; unresolved cases become support tickets with the details already captured.
If the assistant is purely internal and works over procedures and documents, see our enterprise LLM assistant. If customer requests mostly arrive by email, SmartMail from the Smart360 family summarises incoming mail and sorts it by topic.
Generic chatbots don't know your company and guess when they're unsure. We make your product catalogue, manuals, FAQs and past support records the assistant's source of truth, so it answers questions about your business correctly and leaves what it doesn't know to a person.
A custom chatbot is an AI virtual assistant that answers product, order and support questions around the clock on your website, mobile app or WhatsApp. It bases its answers on your own catalogue, FAQs and order system rather than general internet content, and hands anything it cannot resolve to a live agent along with the conversation so far.
The chatbot can run in a chat window on your website or mobile app and on WhatsApp through the WhatsApp Business API. It can connect to CRM, order and support ticket systems, so it can read information such as order status directly from the source. Conversations are supported in Turkish and English.
It does not guess. It passes the conversation to a live agent with the full history, so the customer does not have to repeat themselves. Unanswered questions appear in the conversation reports and are used to extend the knowledge base.
It can use large language models such as GPT, Claude or Gemini, or open-source models running in-house. Answers are grounded in your own documents using RAG, with the documents held in a vector database such as pgvector, Chroma or Pinecone. The model is chosen to match your data privacy requirements.
No. Alongside a customer service bot, it can work as an internal assistant over company policies and process guides, a sales assistant that recommends products from your catalogue, or a technical support bot that walks users through troubleshooting. If it will only work over internal documents, an enterprise LLM assistant may suit you better.
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