Toward the AI Agent Era
Traditional chatbots usually rely on preset keyword matching, resulting in stiff user experiences and inability to solve complex problems. By integrating Google's Gemini family of models, we can now build AI agents with logical reasoning capabilities for businesses. This kind of assistant is delivered as part of custom website development, starting from your own product and service materials.
Core Development Path
A successful enterprise AI assistant requires the following technical path:
- Knowledge base vectorization (RAG): Convert product manuals and service terms into vector data, so AI answers from official materials, which reduces the risk of invented answers.
- Multimodal processing: Allow users to upload images (e.g., faulty equipment photos) for preliminary diagnosis by AI.
- Intent recognition & conversion: AI can identify whether users have purchase intent and automatically pop up booking forms or WhatsApp links.
Example: E-commerce Sales Assistant
Illustrative example: in our e-commerce solutions, a visitor might describe "I want to install at my village house entrance, budget under HK$2,000," and an AI assistant can compare specifications, image quality, and prices in the database, recommending suitable products. To discuss an assistant for your site, contact us.
