Generate historical logistics/supply chain datasets for a specified period (up to 2TB)
Enter the number of rows for each table and the historical date range. Datasets are generated and cleaned (ETL) once. View thirteen dashboards in a tabbed modal or download datasets. For >1M rows (up to 2TB), use the server-side Python script.
Generating and cleaning historical datasets, please wait...
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Datasets are generated and cleaned (ETL) once for the specified historical period. ETL includes data cleaning, validation, deduplication, and enrichment. A pop-up window shows when it's best to download based on data quality (e.g., Completeness > 95%, Duplicate % < 1%, Referential Integrity 100%). Click 'Download Datasets' or use the pop-up's 'Download Now' button when prompted. Thirteen dashboards (Order and Shipment, Inventory Management, Transportation and Fleet, Logistics Cost, Customer Service, Supply Chain Efficiency, Warehouse Operations, Risk and Compliance, Supply Chain Technology, Sustainability, Workforce Management, Market and Customer Analytics, Innovation and Resilience) appear in a draggable, resizable tabbed modal after generation, showing historical KPIs and trends, with options to download as JPG/Excel. The dataset includes: order_shipment_metrics.csv, inventory_management.csv, transportation_fleet_performance.csv, cost_metrics.csv, customer_service_satisfaction.csv, supply_chain_efficiency.csv, warehouse_operations.csv, risk_compliance.csv, technology_digital_metrics.csv, sustainability_environmental_metrics.csv, workforce_training_metrics.csv, customer_market_metrics.csv, innovation_resilience_metrics.csv, and logistics_overall_data.csv.