3 years running real S&OP cycles in the UAE — now shipping AI products that fix the problems I lived every day.
MBA in Global Logistics & Supply Chain Management. Based in Dubai. I've run S&OP cycles in Excel for UAE FMCG manufacturers, watched Ramadan planning go wrong every year because generic forecasting tools don't know the GCC calendar — and decided to fix it with code.
Today I build full-stack AI products (Claude API · Next.js · Supabase) that turn supply-chain pain into shipped, usable software. Everything below is live and clickable.
| Product | What it does | Stack |
|---|---|---|
| 🆕 Meridian | CFA-level multi-market equity-research terminal (US · UK · UAE · Singapore) — live TradingView data + a Supabase RAG brain with an auditable multi-agent research pipeline | Supabase · pgvector · Deno Edge Functions |
| 🆕 AlphaOS | AI-powered multi-market trading platform — TradingView charts, copy-trading & Claude-driven signals across US, India, UAE & Crypto markets | Next.js · TypeScript · Claude API |
| 🆕 Project Autopilot | Production-grade supply-chain intelligence platform with real-time metrics, live demos & autonomous AI-agent decision feed | Next.js · TypeScript · Supabase · Framer Motion |
| 🆕 Emirates Pride Inventory | iPad-optimised inventory system in daily use across Emirates Pride retail outlets in Dubai — GRN, stock transfers, sales & management reporting | HTML · JS · GitHub Pages (PWA) |
| S&OP Copilot | Runs Sunday night, delivers your Monday meeting brief before you wake up — AI briefing pack for UAE/GCC manufacturers | Claude API · Next.js 16 · Supabase |
| GCC Event Surge Planner | Per-SKU demand forecasting for Ramadan, Eid, DSF, White Friday & National Day. The only tool that knows Ramadan moves 11 days a year | Claude API · Next.js 16 · Supabase |
| AI Supply Chain Platform | OTIF Compliance Copilot + Exception Brain — two AI modules for supply-chain exception management | Python · Claude API · Supabase |
Languages: Python · TypeScript · SQL · DAX
AI/ML: Claude API · Prompt Engineering · Demand Forecasting (ARIMA, Holt-Winters, ML ensemble)
Frontend: Next.js 16 · TailwindCSS v4 · shadcn/ui · React · Framer Motion
Backend: Supabase (PostgreSQL + Auth + RLS) · REST APIs
BI Tools: Power BI · Excel (Advanced) · Google Sheets
Supply Chain: S&OP · Demand Planning · Procurement · OTIF · Inventory Optimization
Deploy: Vercel · GitHub Pages · GitHub Actions
Multi-market (US · UK · UAE · Singapore) equity-research terminal with a Supabase brain: live TradingView market data, a CFA-grade analyst grounded in your own documents via RAG (pgvector hybrid search with Reciprocal Rank Fusion), and an auditable multi-agent pipeline (data → valuation → risk → skeptic → writer) running on Deno edge functions. Every table RLS-guarded. Analytical tooling — not investment advice.
AI-powered trading workspace unifying US, India, UAE and Crypto markets. TradingView-style charting, copy-trading, and Claude-driven market analysis in one Next.js app.
Production-ready B2B platform: real-time Supabase metrics, a Twitter-style autonomous AI-agent decision feed, 4 interactive live demos, 60fps Framer Motion / GSAP animations, TypeScript strict mode + CI/CD.
Real, in-production iPad inventory app for Emirates Pride's Dubai retail outlets — GRN, stock transfers, sales tracking, tester management and management reporting. Installable as a home-screen PWA.
AI S&OP briefing-pack generator. Pulls live data, runs Claude API analysis, and emails a decision-ready brief to leadership before Monday's 8 AM meeting. Built for JAFZA/DAFZA free-zone manufacturers running S&OP on Excel.
GCC-event-aware forecasting with pre-seeded 2025–2027 Ramadan, Eid, DSF, White Friday and National Day surge multipliers. Per-SKU forecasts with confidence bands.
Real-world demand-planning dashboard for a UAE commercial-vehicle distributor. Multi-model forecasting (ARIMA, Holt-Winters, ML ensemble) with interactive visualizations.
- meridian — Meridian — CFA-level multi-market (US · UK · UAE · Singapore) equity-research terminal: live TradingView data + a Supabase RAG/agentic brain (pgvector hybrid search, auditable multi-agent pipeline). Not investment advice. (updated 2026-06-28)
- vinayakbhadani.github.io — Portfolio site — Demand Planning Analyst & AI Supply Chain Builder based in Dubai, UAE (updated 2026-06-28)
- emirates-pride-inventory-management — iPad-optimised inventory management system for Emirates Pride retail outlets across Dubai — GRN, stock transfers, sales tracking, tester management & management reporting (updated 2026-06-19)
- Vinayak682.github.io — Vinayak Bhadani – Demand Planning Analyst | Dubai, UAE (updated 2026-06-16)
- gcc-simulator — GCC Business Simulator — Next.js 15 · Supabase · Google Gemini · 8 AI agents. by NayakLabs. (updated 2026-06-15)
- project-autopilot — AI-powered supply chain intelligence platform — real-time metrics, live demos & autonomous AI-agent decision feed. Next.js + TypeScript + Supabase. (updated 2026-06-14)
I'm actively targeting senior Demand Planning / Supply Chain roles across UAE's top FMCG, Retail, and Q-Commerce companies — and open to AI-product collaborations.
- Portfolio: vinayak682.github.io/vinayakbhadani.github.io
- LinkedIn: linkedin.com/in/vinayakbhadani
- Email: [email protected]
- Location: Dubai, UAE 🇦🇪