Implemented supply chain management scripting to optimize inventory classification and supplier management processes through the use of ABC segmentation and Kraljic Matrix.
Start with this folder to follow the tutorial: https://youtu.be/oJzNnHIusZs
Experimental retail analytics workspace with deterministic ABC-XYZ recommendations and grounded LLM narratives.
ABC is not a plan. ABC-XYZ segmentation, a 9-box policy matrix, and an honest stress test of the safety-stock formula - with a Streamlit planner for your own portfolio.
End-to-end supply chain analysis identifying £351K revenue at stockout risk across 100 FMCG SKUs using Python, pandas, and matplotlib.
MIN, OPHQ, and MAX per item, faithful to a real spreadsheet formula and improved with variability-based safety stock, compared on realized service level.
Seeded demand generator and per-chapter analysis behind Demand Analysis and Segmentation
Activity-Based Costing for manufacturing — Kaplan & Cooper
End-to-end inventory optimization using demand forecasting, ABC classification, EOQ, and reorder point analysis in Python.
Combined ABC-XYZ product segmentation
AI-powered retail demand forecasting and inventory optimization platform. Trained on Walmart M5 (58.3M rows), achieves 98.53% R² with XGBoost, automated EOQ/safety stock, and an executive dashboard on GitHub Pages.
Industry-level retail analytics system with ML forecasting, inventory optimization (EOQ, Safety Stock, ROP, ABC), and Streamlit dashboard
Агент данных розничного магазина: ABC/XYZ-анализ, шринкфляция, прогнозы продаж, HTML-дашборд. Учебно-рабочий проект на реальных данных
Operations analytics that audits its own numbers: OTIF, forecast accuracy, ABC-XYZ and Pareto with a mandatory honesty block. JSON-only, built for AI agents and pipelines.
🚚 Optimize inventory transfers between Canada and the US with advanced forecasting, intelligent recommendations, and professional reporting tools.
Code and data behind the figures of Flow and Process Optimization
Аналитический кейс по продажам на маркетплейсе: Python, Excel, статистика и ценообразование.
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