🎯 The Challenge Selection Friction & by Anastasia Kavzovich🎯 The Challenge Selection Friction & by Anastasia Kavzovich

🎯 The Challenge Selection Friction &

Anastasia Kavzovich

Anastasia Kavzovich

🎯 The Challenge
Selection Friction & Decision Paralysis: Traditional wine e-commerce filters are overwhelming for non-expert buyers who struggle with complex sommelier terminology.
Custom Conversational AI Engine: Training and integrating an LLM capable of accurately understanding domain-specific wine terms, tasting notes, and meal pairings in real-time.
Ground-Up Architecture: Building a high-performance web platform and API infrastructure capable of linking conversational chat outputs directly to live inventory, cart systems, and checkout flows without latency.

🛠️ What We Developed
1. 🏗️ Custom Web Platform (Ground-Up Build)
Designed and engineered a modern, high-performance web application tailored specifically for wine and gastronomy sales.
Built a clean, mobile-first responsive interface with custom product cards, filtering systems, and order management workflows.
2. 🍷 AI Sommelier Engine
Implemented a custom LLM-based recommendation pipeline trained on detailed wine metadata (tasting notes, grape varieties, body, acidity, aging, region, and food pairings).
Enabled natural-language inputs (e.g., "I'm having grilled salmon tonight and need a crisp white wine under $30").
3. 💬 Digital Wine Chat Assistant
Integrated a real-time interactive chat module with streaming responses (via WebSockets).
Embedded interactive product cards directly inside the chat interface, allowing users to add AI-recommended bottles to their cart with one click.
4. ⚡ Seamless E-Commerce & Inventory Integration
Connected the AI assistant directly to real-time database stock levels, pricing tiers, and checkout pipelines.

💻 Tech Stack & Architecture
LayerTechnologies & ToolsAI & NLP IntegrationOpenAI API, Custom LLM Prompt Engineering, Vector Embeddings, LangChainFrontendReact.js / Next.js, Tailwind CSS, WebSocketsBackend APINode.js, Express.js, REST APIDatabase & CachePostgreSQL (Wine Catalog & Metadata), Redis (Session Caching)Deployment & CloudDocker, Nginx, Linux / AWS

📊 Key Results & Business Impact
100% Custom Delivery: Successfully launched a complete end-to-end platform built from scratch.
40%+ Engagement Rate: Over 40% of unique site visitors actively consult the AI Sommelier during their browsing session.
+28% Higher Average Order Value (AOV): AI-generated food pairing and multi-bottle suggestions significantly increased order size.
Reduced Cart Abandonment: Instant conversational guidance eliminated choice paralysis, driving higher checkout conversions.
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Posted Jul 22, 2026

🎯 The Challenge Selection Friction & Decision Paralysis: Traditional wine e-commerce filters are overwhelming for non-expert buyers who struggle with comple...