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.

Analyze and propose the plan to monitor and estimate business aspects

Go library for practical inventory and supply-chain threshold calculations.

Local-first inventory reorder radar for small shops using CSV exports.

Demand forecasting model and inventory policy simulation built in Excel — using FORECAST.ETS, safety stock calculation and scenario testing to minimize stockouts and reduce reorder frequency by 32%.

AI safety stock engine with demand-aware adaptive calculations

This project demonstrates Excel-based inventory optimization for 50 SKUs using ABC Classification, Safety Stock, Reorder Point (ROP), and Economic Order Quantity (EOQ). The analysis highlights demand variability, holding cost distribution, and replenishment efficiency—providing insights for e-commerce supply chain management.

A dashboard that sorts inventory into groups and helps managers decide with data, not guesses

supply networks simulation with kpi analysis service level improvement and cost optimization

Dynamic safety stock optimization adapting to demand volatility changes

This project aims to alleviate the affliction of newly-put excise tax on medical firms' revenues by cost reduction, to find fields where such cost reduction could be realized for the Company X.

Safety stock optimization under demand uncertainty

Safety stock vs service level analyzer

ML-based safety stock optimization

📊 Forecast café item demand and optimize inventory reorder points using Monte Carlo simulation for reduced stockouts and better stock control