AI for e-commerce.
The rare combination that makes commerce AI actually work: a team that ships AI products and has built 1,000+ stores and marketplaces. Visual search, semantic search, recommendations, GenAI shopping assistants and catalog automation — integrated into CS-Cart, Magento and Shopify, not bolted on.
See it working
Upload a photo at search.trooply.in and watch CLIP embeddings find matching products in under 100ms — the engine we deploy into client stores.
AI that moves conversion rate.
Visual product search
Customers upload a photo and find the product — CLIP embeddings and vector retrieval across millions of SKUs, sub-100ms. Live in our own stack today.
Semantic search
“warm jacket for Delhi winters under ₹3,000” returns the right products, not keyword noise — search that understands intent, synonyms and attributes.
Recommendations & personalization
Similar products, complete-the-look, personalized rails and smart cross-sells — driven by behavior and embeddings, measured by AOV lift.
GenAI shopping assistants
Guided selling, product Q&A and order support connected to your live catalog — see our AI chatbot development practice.
Catalog automation
Product descriptions, attribute extraction, tagging, categorization and translation at catalog scale — thousands of vendor SKUs enriched consistently.
Pricing & demand intelligence
Competitor monitoring, demand-aware pricing suggestions and stock forecasting — decision support with your rules in charge.
Built into your platform, not beside it.
Most commerce AI fails at the integration, not the model: the widget that does not know stock levels, the assistant that cannot see order status, the search that indexes a stale feed. We build AI as a native part of your store because platform engineering is our core business — CS-Cart (Authorized Reseller), Magento and Shopify, plus the ERPs behind them.
That means real-time catalog sync, per-customer-group pricing respected in recommendations, marketplace-aware logic (vendor boundaries, commissions), and admin controls your team can actually operate. AI features ship as upgrade-safe add-ons and services — the same discipline as the rest of our platform work.
Commerce AI questions.
What AI actually increases e-commerce sales?
In practice, ranked by evidence: better search (semantic + visual) lifts conversion because customers find what they came for; recommendations lift AOV; shopping assistants recover pre-sales questions that would have bounced; catalog automation improves everything downstream by fixing data quality. Start where your funnel leaks most.
Does this work on CS-Cart / Magento / Shopify?
Yes — these are our home platforms. AI features integrate through native add-ons and APIs with real-time catalog and order sync, including Multi-Vendor marketplace setups with vendor-aware logic.
How much does e-commerce AI cost?
Semantic search or a recommendation engine typically runs $5,000–$20,000 integrated; visual search similar depending on catalog scale; shopping assistants from $5,000. Self-hosted inference keeps running costs flat as traffic grows.
How do we measure whether it worked?
Baseline first, then A/B where volume allows: search conversion, zero-result rate, AOV, assisted-revenue and ticket deflection. We agree the metrics in scoping — AI that cannot show its lift does not deserve its server bill.
Where does your funnel leak?
Tell us your platform and your worst metric — we will propose the AI feature with the clearest payback, with the measurement plan included.