Deploy a conversational AI agent that understands your customers' style DNA, body shape, and color season as deeply as a professional human stylist.
Static filters are dead. Modern shoppers want to ask: "What should I wear for a rainy wedding in Tuscany?" and get an immediate, personalized answer.
Our AI Stylist Chat uses a dynamic system prompt architecture that injects the user's **Scientific Style Profile** directly into the LLM context, ensuring every response is tailored.
Generic AI chatbots don't know the difference between 'Warm Spring' and 'Cool Winter' palettes. They give generic advice that ignores the individual's physical traits.
Unlike standard chatbots, we use a 'Sliding Window Profile' system. As users complete quizzes, their data is automatically bridged into the chat session via the StyleSync Profile API.
We leverage **Claude 3.5 via OpenRouter** to provide high-fidelity, nuanced fashion advice that avoids the "robotic" feel of earlier AI generations.
The AI can recognize when a user is hesitating and proactively suggest items from your catalog that match their specific **Style DNA Archetype**.
Yes. The AI is fed a context-aware product dossier that allows it to recommend specific SKUs from your catalog that match the user's needs.
Fully. We do not store personally identifiable information in the chat model's training data. All data is handled according to enterprise security standards.
We use Claude via OpenRouter, providing high-fidelity, nuanced fashion advice that avoids the robotic feel of earlier AI generations. The model is updated as better versions become available.
Yes. The AI naturally suggests complementary items based on the user's style profile and conversation context, creating organic upsell opportunities without feeling pushy.
The chat uses dynamic system prompt injection to feed the user's Style DNA, Color Season, and Body Shape data directly into the AI context, ensuring every response is personalized.