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iyadblk/README.md

Iyad Belkadi

AI Automation Builder Β· Physics Graduate Β· Logistics Operator

LinkedIn Location


πŸ‘€ About

I build things and I move things.

Physics background. AI & Data Analysis specialization. 3+ years in high-volume logistics operations across GXO, Lidl, and ID Logistics.

Currently solo-building an AI automation service for SMBs while working full-time in logistics.

Next stop: Annecy / Switzerland


πŸš€ Projects

Project Description Stack Live
Warehouse KPI Dashboard Real-time logistics analytics with live KPI tracking, operator scoring & automated alerts Python Β· Streamlit Β· Plotly β–Ά Live Demo
Picking Route Optimizer 4-zone warehouse optimizer β€” OR-Tools TSP, cold chain constraints, wave picking, forklifts Python Β· OR-Tools Β· Streamlit Β· Folium β–Ά Live Demo
πŸ”œ Demand Forecasting Engine SKU demand prediction with stock shortage alerts Python Β· Prophet Β· Streamlit Coming soon
πŸ”œ LogisticOS AI-powered warehouse intelligence platform Next.js Β· FastAPI Β· OpenAI Coming soon

πŸ›  Stack

Python Streamlit Plotly Pandas FastAPI PostgreSQL


πŸ“Š Languages

πŸ‡«πŸ‡· French β€” Native πŸ‡¬πŸ‡§ English β€” Bilingual
πŸ‡ΈπŸ‡¦ Arabic β€” Native


πŸ“« Contact

Email: saqqriyad@gmail.com LinkedIn: linkedin.com/in/iyadbelkadi


Building systems that work.

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  1. warehouse-kpi-dashboard warehouse-kpi-dashboard Public

    Real-time warehouse KPI dashboard : Python Β· Streamlit Β· Plotly. Live operator tracking, performance scoring, automated alerts and Excel reporting.

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  3. picking-route-optimizer picking-route-optimizer Public

    Real-world warehouse route optimizer β€” 4 thermal zones, OR-Tools TSP, cold chain constraints, wave picking & forklift system. Built with Python & Streamlit.

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  4. demand-forecasting-engine demand-forecasting-engine Public

    Warehouse demand forecasting β€” Prophet, ARIMA & ensemble models. Stock alerts, What-if simulator, PDF purchase orders. 45 French SKUs, 11-tab dashboard.

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  5. supply-chain-anomaly-detector supply-chain-anomaly-detector Public

    Real-time supply chain anomaly detection β€” Isolation Forest + LOF + DBSCAN ensemble, FastAPI REST API, 4 domains, 10-tab dashboard.

    Python