Retail Sales Forecasting
LightGBM achieving 13.5% WAPE for 16-day forecasting across 54 stores with 56 engineered features
Technology Stack
LightGBMXGBoostStreamlitPlotlyScikit-learnPandas
ML Frameworks
Deep Learning
NLP
Deployment
ROI
$500K+ annual savings
Key Performance Indicators
Inventory Waste Reduction
15-20%Stockout Reduction
25-30%Labor Efficiency
10-15% improvementBusiness Impact Summary
| Return on Investment | $500K+ annual savings |
| Inventory Waste Reduction | 15-20% |
| Stockout Reduction | 25-30% |
| Labor Efficiency | 10-15% improvement |
Overview
Production-grade forecasting platform using LightGBM for Ecuadorian grocery retailer with 54 stores and 33 product families. 16-day predictions with 56 engineered features and interactive Streamlit dashboard.
Live Demo
Live Demo
Interactive Streamlit application
📊
Retail Sales Forecasting Demo
Click below to load the interactive demo
This is a live, interactive demo deployed on Streamlit Cloud. You can:
- •Upload your own data for predictions
- •Explore model performance metrics
- •View interactive visualizations
- •Understand model predictions with explainability
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