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reorder-point

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End-to-end café inventory project: clean transaction data, build daily item-level demand series, backtest strong baseline forecasters, generate next-30-day demand forecasts, convert forecasts into safety stock + reorder points, and validate policies with Monte Carlo stockout-risk simulations, wrapped in a Streamlit dashboard.

  • Updated Feb 9, 2026
  • Python

Demand forecasting and reorder point analysis on 540k retail transactions — with a warehouse manager's decision memo, honest baseline comparisons, and every number in the writeup independently verifiable from raw data.

  • Updated Aug 19, 2026
  • Python
Inventory-Forecasting-Optimizing-Engine

XGBoost-powered demand forecasting & reorder alert system for e-commerce — flags stockouts before they happen and surfaces cash trapped in overstock. Nightly auto-retraining via GitHub Actions.

  • Updated Aug 25, 2026
  • Python

Interactive Retail Sales & Inventory Optimization Dashboard built in Microsoft Excel featuring KPI analysis, Pareto analysis, demand forecasting, EOQ, Safety Stock, and Reorder Point (ROP).

  • Updated Aug 4, 2026

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