STRTGY · Jan 2025
Advanced Demand Forecasting & Inventory Optimization System
Overview
Developed a complete demand forecasting and inventory optimization system for the beverage industry, incorporating time series analysis, statistical modeling, and full-stack implementation. Designed and built a robust ETL pipeline for beverage sales data, with multiple source integration, advanced cleaning with pattern extraction, and automated outlier detection.
Highlights
- 01
Implemented an adaptive forecasting system that selects optimal algorithms based on data characteristics: Prophet for SKUs with sufficient history, SARIMA for products with moderate history, and moving averages as fallback.
- 02
Developed a mathematical inventory optimization model incorporating lead time calculations, safety stock determination, capacity constraints, and turnover rate optimization.
- 03
Created a modern and responsive dashboard with React/TypeScript, interactive visualizations with Chart.js, component-based architecture, and performance optimization through memoization and lazy loading.
Stack
- Time Series Analysis
- Machine Learning
- Python
- React
- TypeScript
- Data Processing
- Inventory Optimization
- Prophet
- SARIMA
- ETL
- Data Visualization
- Chart.js
Working on something similar?
Tell me about the problem and the data behind it. I reply within 24–48 hours.
Discuss a project