Python-based library for inventory optimization and cost calculation using various models. Includes EOQ, Wagner-Whitin, Silver-Meal, Least Unit Cost, Lot-for-Lot, and other heuristics with a user-friendly GUI for visualization, and will be further improved to accept data from json files as an input.
🏢 End-to-end Inventory Data Analysis project covering Demand Forecasting, ABC Analysis, EOQ, Inventory Turnover, Lead Time, and Carrying Cost Optimization.
EOQ/EPQ Calculators
Python-based inventory optimization using EOQ, safety stock, and reorder point models.
Data-driven retail inventory optimization project using Power BI dashboards, demand forecasting, EOQ, and replenishment strategies to minimize costs and ensure optimal stock levels.
End-to-end inventory optimization using demand forecasting, ABC classification, EOQ, and reorder point analysis in Python.
End-to-end supply chain inventory analytics platform. Generates dirty 10k-row CSV, applies 8-step ETL pipeline, runs statistical analysis, advanced optimization (EOQ, Monte Carlo), and 30 ML algorithms. Outputs cleaned CSV with 23 publication-ready charts. Bilingual: Chinese + English.
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