AI Tezgahtar
What is AI Tezgahtar?
AI Tezgahtar is physical and digital greeting software developed by BuNet Bilişim on the BuNet AI platform. On a kiosk, a screen, or the web it gives a short reply from the organization’s own text. Closing a sale and resolving a complaint stay with the relevant team. This layer is an AI-powered service architecture designed to manage real-time user interaction in hotel, restaurant, education, and healthcare institutions.
Try it liveWhat is the product?
AI Tezgahtar is the BuNet AI product that greets people on a physical screen and a digital page. The image technology is described on the AI Avatar page. Product scope is on this page.
This layer is an AI-powered service architecture designed to manage real-time user interaction in hotel, restaurant, education, and healthcare institutions. A demo uses the organization’s own short knowledge set and one selected scenario.
Which problem does it address?
Staff at the entrance spend the whole first contact on the same direction and product questions. The product aims to take that first information contact. Closing a sale and resolving a complaint stay with the team.
Who can use it?
A retail entrance, an organization lobby, a fair stand, and a campus desk. The separate hotel-lobby scope is on the AI Hotel Assistant page. The restaurant table is the AI Garson product.
How does it work?
The visitor speaks or types at the screen. AI-Core answers from the organization’s knowledge. The avatar makes the reply visible. If an appointment, a firm stock figure, or a price approval is required, the note goes to the relevant team.
User experience
The contact is short. The visitor understands why they are going to the next person. The product does not say the face on the screen closes every question.
AI and voice structure
Voice on a screen depends on ambient noise. Text always remains. The phone line is defined separately as AI Santral.
How RAG is used
Greeting text the organization has approved, frequently asked questions, and direction notes are the context. The RAG/Knowledge layer is applied here as the counter scenario.
Operational process
The information reply ends on the screen. A note the visitor leaves is written to the list the shift lead sees. If there is a lead, the fields are counted in the pilot plan. There is no invented conversion rate.
Integration
A CRM or catalog connection is not assumed ready on day one. The pilot starts with approved text. The connection is discussed after the fields to be written are chosen.
Demo and pilot
This layer is an AI-powered service architecture designed to manage real-time user interaction in hotel, restaurant, education, and healthcare institutions. A demo uses the organization’s own short knowledge set and one selected scenario. Scope is written on this product page.
Frequently asked questions
AI Tezgahtar is the BuNet AI product designed to greet people on a physical screen and a digital page. It gives a short reply from the organization’s own text. This layer is an AI-powered service architecture designed to manage real-time user interaction in hotel, restaurant, education, and healthcare institutions.
No. AI Avatar is the shared description of the technology. AI Tezgahtar is the greeting product that uses that technology. This page is the product page.
No. AI Tezgahtar aims to cover the first information contact. Closing a sale, approving a price, and resolving a complaint stay with the relevant team.
No. The reply is limited to approved text. If a firm stock figure or a price is not in the source, the topic is written to the team.
Typical places are a retail entrance, an organization lobby, a fair stand, a campus desk, and the web. Hotels and restaurants have separate product pages.
This layer is an AI-powered service architecture designed to manage real-time user interaction in hotel, restaurant, education, and healthcare institutions. A demo uses the organization’s short greeting text and a single contact scenario.