Why does a chatbot need images and category context?

Customers often ask visual or category-based questions. They may want to see a product, room, property, part, machine, menu, service area or example. A Digital Twin can connect images to meaning so the assistant and the site can explain what those images represent.

That matters for public visibility and internal use. A maintenance worker, hotel staff member or stock controller may need to identify something visually, not just read a paragraph. A Digital Twin is broader than a chatbot because it includes approved business facts, public Q&A, image context and machine-readable outputs, not just a chat box. In other words, the goal is to give the client a controlled first AI layer instead of leaving the whole topic vague and undefined.