This project demonstrates a proof-of-concept for AI-driven warehouse space optimization using synthetic data and Streamlit.
- Real-time simulation of SKU and zone data
- ABC classification of inventory
- KPI calculations:
- Storage Utilization Rate
- Inventory Consolidation Index
- Average Pick Time
- Slotting Accuracy
- ABC Zone Efficiency
- Space Cost per Unit Stored
- AI agent recommendations for each KPI
- Clone the repository
- Install dependencies:
pip install streamlit pandas - Run the dashboard:
streamlit run dashboard.py
dashboard.py: Streamlit dashboard codesynthetic_sku_data.csv: Simulated SKU datasynthetic_zone_data.csv: Simulated zone dataclassified_sku_data.csv: ABC-classified SKU data