Optiview Autonomous AI E-Commerce Optimization & Multi-LLM Engine
A full-stack, provider-agnostic AI e-commerce growth platform that connects directly to Shopify stores, analyzes order velocity and pricing elasticity in real time, generates mathematically grounded recommendations across pricing, inventory, CRO, and retention, and features a conversational AI Copilot with real-time database grounding. Built with multi-LLM architecture (Groq, OpenAI, Claude) with automated failover and zero vendor lock-in.

Project Overview
We built Optiview, an autonomous AI-driven e-commerce optimization and growth engine designed to help online retail merchants maximize profit margins, prevent stockouts, and boost Average Order Value (AOV). Managing modern Shopify stores with hundreds of SKUs is complex—merchants drown in raw analytics without knowing what specific price, inventory, or copy adjustments will drive profit. Optiview transforms passive dashboards into an autonomous decision engine. By ingesting real-time store telemetry through Shopify REST and GraphQL APIs, Optiview runs 6 proprietary algorithmic finding routines that detect pricing elasticity opportunities, stockout risks, low-converting product pages, and customer churn. These findings are enriched through a provider-agnostic multi-LLM gateway (Groq Llama-3/Qwen, OpenAI GPT-4o, Anthropic Claude 3.5 Sonnet) that generates crystal-clear explanations and one-click executable actions. Merchants can also interact with an intelligent conversational "Ask AI" copilot that queries live store data to provide instant business answers.
Key Features
Provider-Agnostic Multi-LLM AI Gateway
Abstracted AI engine supporting Groq (ultra-low latency Llama-3 / Qwen), OpenAI (GPT-4o), and Anthropic (Claude 3.5 Sonnet) with dynamic automatic failover, sub-second response times, and zero vendor lock-in.
6 Autonomous AI Recommendation Algorithms
Algorithmic routines analyzing pricing elasticity (+5% margin testing), inventory reorder velocity, high-traffic/low-conversion SKU copywriting, RFM customer retention, smart product bundling, and customer review sentiment mining.
"Ask AI" Conversational Store Copilot
Context-aware interactive chat assistant grounded in live PostgreSQL store data and Shopify analytics, enabling merchants to ask complex revenue simulations and product questions in plain English.
Live 2-Way Shopify Store Sync & Execution
Real-time bi-directional integration with Shopify Admin API (2024-10) to ingest products, customers, and order history, with one-click live catalog updates and realistic demo data seeding.
TechnologyStack
Development
Requirement Analysis
Analyzed key profit levers for Shopify merchants—pricing elasticity, order velocity, customer lifetime value (LTV), and inventory turnover—establishing mathematical baseline formulas and prompt engineering strategies.
UI/UX Design
Designed a sleek, dark-themed SaaS interface with glassmorphism KPI cards, confidence-badged recommendation feeds, detailed action drill-downs, and an intuitive chat interface for the AI Copilot.
AI & Automation
Built the provider-agnostic AI gateway with automated runtime fallback, developed 6 recommendation generation algorithms grounded in PostgreSQL analytics data, and implemented the Shopify 2-way sync service.
Testing & Deployment
Created automated data seeding scripts ($124.8K MVP dataset), conducted rigorous end-to-end API and LLM response testing, and deployed the production system across Vercel Edge CDN and high-availability database infrastructure.
Project
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