AI Contextual search is a discovery engine that understands shopping language and intent. Instead of matching just keywords, it interprets the why behind a query — the occasion, style, fit, and mood — and instantly delivers curated results.
It can also suggest refinements, auto-activate the right webshop filters, or generate interactive sliders (like “shorter sleeves” or “more expressive”) so shoppers can fine-tune their search with ease.
Increased engagement, triple click-through-rate and AOV lift by up 15%
AI Contextual search
Redefining how customers search for products and navigate collections.
Make every search feel personal, purposeful, and shoppable.
Context matters
Traditional search stops at keywords. Shoppers type “black dress” or “running shoes” and face hundreds of generic results. What’s missing is the context — the intent, the occasion, the style preferences, even the subtle cues that influence a buying decision.
Contextual search goes beyond the search bar. It understands language, lifestyle, and nuance — translating vague queries into tailored results that match what customers actually want.
Search that adapts
Unlike keyword based search or tag based filtering, AI Contextual search doesn’t stop at showing results — it gives shoppers the tools to refine their choices effortlessly.
Shoppers gain a sense of control and inspiration at the same time, as results feel both personalised and flexible. By reducing filter fatigue, they no longer need to endlessly click through menus to narrow down choices.
Instead, AI Contextual search creates a fluid, conversational shopping experience—without relying on a chatbot interface.
Smart filter presets
Queries like “vegan leather boots” or “blue round-frame sunglasses” automatically activate the right category filters.
Dynamic sliders & controls
Adjust style intensity “more minimal → more expressive”, modify fit & form “shorter sleeves,” “looser cut”, and explore visual nuances “softer colours,” “bolder details”
Natural language understanding
Shoppers can search like they think: “Lightweight sneakers for summer travel” or “glasses that suit a round face and office wear.”
User-centric experiences
Aligned with real shopping language and customer journeys
AI-driven context modeling
Our engine decodes intent: purpose (workout vs. casual), occasion (party vs. everyday), and aesthetics (minimalist, bold, heritage).
Domain-specific
Deeply trained algorithms style and lifestyle commerce domains
Cross domain style intelligence
Manages catalog across categories to surface the most relevant choices dynamically.
Scalable
Adapts to evolving trends, catalog updates and shopping platforms