Live and operating today
Reflex Store AI
The first AI-native e-commerce platform for electronics in the Russian-speaking market, built, launched, and still run by Daniel Zavialov.
The problem
Before automation, the operation ran on manual process: a large team handling listings, pricing, and customer messages by hand, with no structured task system and no coordinated workflow across the team. Response times were slow, and headcount scaled with order volume instead of with the business.
The build
Reflex Store AI replaced that with four connected systems, each doing one job:
- Store AI: customer-facing platform, with AI-driven pricing and listing generation.
- CRM: internal operations, tracking every deal and conversation in one place.
- Content Management Tool: marketing team control over listings and content at scale.
- Admin Panel: management visibility and control over the whole operation.
These were architected as one system from the start, which is the same principle behind every Reflex Lab build.
The workflow
One pipeline, unified across the internal store, marketplaces, direct messengers like Avito, Telegram, and WhatsApp, and phone calls. Automation and AI handled pricing, listing generation, and conversational sales across all of them.
The results
41%
lower team costs, at equal revenue
21%
faster response times
+23%
user engagement
1,126
SKUs automated
The lesson
AI-native architecture, where AI is core product logic instead of a chatbot bolted onto an old process, is not theoretical. It is running a real business right now, at a fraction of the operating cost a manual team would need.