AI support agents and semantic search for e-commerce.
Support queues that hold up during peak season, and product search that surfaces what shoppers actually mean — built on your real order, returns, and catalog data.
What we build for e-commerce
Support Agents
LLM agents with function calling over your order and returns APIs, with confidence-based escalation to humans.
Semantic Catalog Search
Vector search with re-ranking across your product catalog, so shoppers find what they mean, not just what they typed.
Backend Engineering
APIs, data pipelines, and infrastructure that hold up under real production traffic.
AI Integrations
LLM agents, RAG search, and automation grounded in your real data — no hallucinated capability.
Proof, not promises
E-commerceRead the case study →
60% faster support response with an AI agent
A conversational agent with tool calling that handles support chats and return requests end to end.
−60%
Response time
68%
Auto-resolved
4.5/5
CSAT
RetailRead the case study →
+25% search conversion with semantic catalog search
Retrieval-augmented search and recommendations across a large retail product catalog.
+25%
Search conversion
−35%
Query latency
100k+ SKU
Catalog coverage
FAQ
Does this work with our existing order and returns APIs?−
Yes — agents call your real order and returns systems directly, with confidence-based escalation to a human when the agent isn’t sure.
How long is a typical engagement?+
Do you work with in-house engineering teams?+
Ready to ship AI for your storefront?
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