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Custom Avito CRM
with AI Integration

Refactoring and development of an internal CRM for Avito workflows: stable inbox, redesigned chats, mobile access, dark theme, and automation scenarios with AI-powered suggestions.

Client Small Business
Period 02.04.2026 — Present
Services Refactoring, New Features, Support
Stack Next.js, React, TypeScript, Prisma, OpenAI API, Tailwind

Task

The client was already conducting sales through a custom CRM, but technical debt had accumulated and capabilities were lacking to handle growing load. The code and UX needed improvement, along with new features: a full mobile version, dark theme, price and data synchronization with Avito, and chat redesign for real manager workflows.

Solution

We gradually strengthened the interface and reliability: unified theme for desktop and mobile, redesigned inbox and chats, tools to accelerate conversations, and blocks with AI assistant and analytics.

  • Mobile layout and dark theme (desktop and mobile), smooth switching without flickering and visual glitches on navigation
  • Chats: answer templates, shortcuts, emoji picker on desktop, bulk sending and multi-photo insertion, close chat with Escape
  • Inbox: compatible filters by price and recency, bulk selection without issues when opening chats and refetching, separate archive navigation
  • Chat header: order link next to listing, icon-based actions with tooltips instead of overloaded menu
  • Message author signature depending on actual sender (bot / manager)
  • OpenAI integration for suggestions and automation scenarios in conversations and analytics
  • Synchronization improvements for listings and prices with marketplace, aligned with client business logic

Results

Faster templated responses
+25%
Conversation-to-sale conversion growth
−30%
Fewer manual actions in inbox

After implementing the mobile version, stable inbox, and response automation, managers handle more conversations without quality loss; AI removes routine work and speeds up decision-making. The figures above are portfolio estimates; when actual KPIs become available, replace with real data.

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