Businesses running on Instagram, WhatsApp, and Facebook Messenger were losing sales to one simple bottleneck: slow response times. A potential customer sends a DM, doesn't hear back for hours, and moves on. Multiply that across hundreds of daily interactions, and the revenue leak is significant.
Reflys set out to fix this by automating lead generation, routine inquiries, and audience segmentation across every major messaging channel, so businesses never miss a conversation or leave a customer waiting.
Reflys platform overview
What I Walked Into
Reflys already had a solid foundation when I joined: an omnichannel inbox aggregating conversations from Instagram, WhatsApp, Messenger, TikTok, and SMS. There was a visual flow builder for drag-and-drop chat automations, e-commerce integrations with Shopify, WooCommerce, and BigCommerce, and basic keyword-based triggers for Story mentions and comment interactions.
The platform worked, but it was built for simple keyword bots. The team needed to push it into AI-powered territory.
What I Built
I owned the frontend engineering for the next generation of Reflys features:
AI Intention Triggers — Replaced rigid keyword matching with an AI layer that understands meaning. Misspelled words, slang, shorthand: the system now parses intent, not just exact strings. This was a fundamental shift in how automations get triggered.
AI Flow Builder — Instead of manually dragging and dropping nodes, users can now describe their marketing goal in plain language and the AI generates a complete chatbot automation flow. I built this interface using React Flow, wiring up the visual graph editor to the AI generation pipeline.
Automation trigger editor
Referral Link Automations — Custom WhatsApp and referral links that auto-start a chat flow the moment someone clicks, with zero friction. No first message required from the user.
Coupons & Discount Engine — A system for generating unique, personalized coupon codes tied to specific influencer campaigns, with full attribution tracking so businesses can see exactly which campaigns drive sales.
Smart Text Enhancer — AI-assisted copywriting embedded directly in the flow builder. It helps users match their brand voice and optimize message copy for conversions, right where they're building their automations.
Automation trigger configuration
Technical Approach
The frontend is built on Next.js and React with Tailwind CSS for styling. I integrated Redux for state synchronization across the complex, real-time UI (the inbox alone juggles conversations from 5+ channels simultaneously). The automation builder runs on React Flow, which I extended heavily to support the AI-generated flow rendering.
Performance was a priority from day one. I implemented aggressive code splitting and lazy loading strategies that cut page load times by 30%, which matters when your users are business owners checking their inbox dozens of times a day.
Reflys platform features
Results
30% reduction in page load times through code splitting and performance optimization
Shipped AI-powered automation features that moved the platform from basic keyword bots to intent-aware, AI-generated workflows
Built the frontend for a platform now serving thousands of creators and businesses across multiple messaging channels