Darkstore Analysis - Geospatial is a project focused on the geospatial study of dark stores (warehouses used for rapid e-commerce fulfillment). Using geographic data, machine learning, and visualization techniques, this project helps businesses optimize their dark store locations for better efficiency and market reach.
- Geospatial Visualization: Interactive maps displaying dark store locations.
- Demand Analysis: Identifying high-demand regions using customer order data.
- Site Selection Optimization: Using clustering and geospatial algorithms to suggest new locations.
- Competitor Mapping: Understanding market presence and competition.
- Python: Data processing, machine learning
- Geopandas & Shapely: Spatial data manipulation
- Folium & Plotly: Geospatial visualization
- Scikit-learn: Clustering and demand forecasting
- QGIS: Additional spatial analysis