Shoppers find
what they mean.
Vector search, personalised recommendations, and visual discovery — built for D2C catalogues that keywords can't handle.
Built for every catalogue
From fashion to electronics — the AI understands your products like your best salesperson.
Powered by cutting-edge AI
Vector embeddings, ranking models, and personalisation — all tuned for your store.
Vector Semantic Search
Understands intent, not just keywords. Shoppers find what they mean, even when they don't know the exact product name.
Personalised Recommendations
AI recommendations trained on your catalogue, browsing behaviour, and purchase history. Every shopper gets a tailored storefront.
Visual + Image Search
Shoppers upload a photo and instantly find matching products. Powerful for fashion, beauty, home, and footwear.
Conversational Discovery
Shoppers describe what they want in plain English — "gift for a runner under ₹5,000" — and get precise results.
Where discovery wins
Real numbers from real D2C brands using our AI discovery engine.
From catalogue to intelligent
We handle everything — indexing, tuning, integration, and optimisation.
Catalogue Indexing
We index your full product catalogue with embeddings — titles, descriptions, images, tags, and attributes.
IndexModel Tuning
We tune ranking and recommendation models on your specific store — bestsellers, margins, and inventory levels.
TuneStorefront Integration
We wire the search + recommendation API into your headless storefront — search bar, category pages, PDP cross-sells.
ConnectMonitor & Optimise
We track search CTR, conversion, and AOV. Continuously retrain the model on real shopper behaviour.
ImproveWhat founders ask about AI discovery
We've deployed AI discovery for 40+ brands. Here's what founders want to know.
Keyword search matches exact text. Semantic search understands meaning — so "warm winter coat for women" finds the right products even if the word "warm" isn't in the title. Result: 3–5× higher find rate.
No. We can integrate with standard Shopify (Liquid) or headless (Next.js/Hydrogen). Headless gives you more control over the UI, but the AI engine works with both.
Typical deployment is 3–4 weeks from kickoff to live. Larger catalogues (5,000+ SKUs) may take 5 weeks for full indexing and tuning.
Clients typically see 30–45% search CTR improvement, +20–40% AOV from recommendations, and 1.5–2× overall CVR lift.
We use best-in-class vector databases (Pinecone, Weaviate, or self-hosted Qdrant), OpenAI or Claude for embeddings, and custom ranking layers built for your store.
Yes — we replace it entirely. Or we can run in parallel for A/B testing before full rollout.