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E-commerce

AI that sells
and supports.

Product search that understands intent, support that resolves tickets automatically, and lead qualification that responds in minutes.

Caso de estudio

RAG-powered product assistant: 60% fewer support tickets.

We deployed a RAG pipeline for an e-commerce SaaS platform with 50K SKUs. The system indexes the full catalog, processes natural-language queries, and generates accurate responses with source citations. Integrated with the existing helpdesk via API.

94%
tasa de precisión
<2s
tiempo de respuesta
60%
menos tickets
Use Cases

What we build for e-commerce teams.

Product catalog RAG. Customers ask questions in natural language and get accurate product recommendations with links. Works across 50K+ SKUs with real-time inventory awareness.

Support ticket automation. AI agents classify tickets, extract order information, and resolve common queries automatically. Complex cases escalate to humans with full context.

Lead qualification. Every inbound lead is analyzed, scored, and routed to the right salesperson with an executive summary. Hot leads contacted in minutes, not days.

Intelligent product search. Semantic search that understands intent, not just keywords. Customers who search for "something for my dog's birthday" find the right products.

Integration

Works with your existing stack.

We integrate with Shopify, WooCommerce, Magento, custom platforms, and headless commerce APIs. The AI layer plugs into your existing helpdesk (Zendesk, Intercom, Freshdesk), CRM, and analytics tools. No platform migration required.

Ready to automate your support?

Book a discovery call. We will map your product catalog and support workflow.

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