Personalized product discovery that lifted AOV 23%
A real-time recommendation engine powering homepage, cart, and email — trained on 80M events/day with sub-50ms latency.
The challenge
Kora Apparel came to us with a clear problem: the existing system was slow, manual, and not scaling with growth.
Our approach
Two-week discovery sprint, four-week build with weekly production deploys, followed by four weeks of tuning and observability work.
The outcome
23% AOV lift, 19% retention improvement. The system now runs with minimal oversight and has headroom for 3× current load.
More cases
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We embedded a multi-model copilot into Ledgerly's reconciliation dashboard. Natural language queries, automated exception handling, one-click audit trails.
A voice AI agent that handles 60% of inbound calls
Voice agent built on OpenAI Realtime + custom routing logic. Handles appointment booking, FAQs, and escalation to humans.
Got a problem like this?
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