Challenge: Customers needed instant, accurate answers about services, pricing, and availability — but manual support was slow, inconsistent, and couldn't scale without hiring more people.

Solution: Built a fully conversational AI assistant with per-customer persistent memory, personalized responses by name and history, and specialized agents for support, pricing, and appointment scheduling. When a booking is confirmed, the system automatically sends the customer an email summary of the full conversation history across sessions, plus scheduled reminders — ensuring zero context is lost between interactions.

Impact: Reduced support friction, increased appointment conversion, and delivered a consistent, brand-safe customer experience — with built-in protections against phishing and messaging inconsistencies.

Challenge: Maintaining a consistent publishing cadence for SEO and brand visibility required significant manual effort: finding relevant news, rewriting it, sourcing images, formatting, and uploading — every single day.

Solution: Built an end-to-end automation pipeline that fetches daily news, rewrites content in brand voice, selects or generates images, and stores everything in the database ready to publish. Supports both a human approval flow for editorial control and direct auto-publishing for trusted categories.

Impact: Turned content production from a daily bottleneck into a reliable, low-touch process — improving SEO publishing velocity and keeping the site consistently fresh without additional headcount.

Challenge: Managing customer communication across multiple channels (WhatsApp, Instagram, and others) was fragmented, slow, and impossible to keep consistent — especially at scale.

Solution: Designed and deployed a unified AI-powered communication layer with specialized agents (appointments, knowledge base, pricing) that collaborate to deliver contextual, accurate responses. The system maintains persistent conversational memory and uses local embeddings for semantic search, ensuring relevance across sessions and channels.

Impact: Reduced response time, eliminated channel inconsistencies, and freed human staff to focus on high-value interactions — while maintaining a single source of truth for all customer conversations.

Challenge: Most e-commerce platforms optimize for the first sale and ignore retention — losing customers after the initial purchase and operating blind without real-time sales visibility.

Solution: Built a full-stack enterprise e-commerce platform with a gamified loyalty system to drive repeat purchases, a context-aware AI assistant to guide purchase decisions, and a real-time analytics dashboard powered by SignalR for live operational visibility across sales and inventory.

Impact: Combined conversion optimization with measurable retention mechanics and operational transparency — not just a storefront, but a complete commercial system built to grow.