Description
This dual Python/R script package extracts inventory and sales data from your ERP or warehouse management system. It calculates turnover ratios, days sales of inventory, and write-off risks based on aging metrics. The script applies smoothing algorithms to highlight seasonal trends and flags items for reorder or clearance. Outputs include a PDF report with KPI summaries, color-coded inventory health charts, and an Excel workbook of SKUs segmented by turnover speed. A cron-friendly wrapper allows regular execution, while a Dockerfile simplifies container deployment. Configuration options cover business-calendar integration, lead-time adjustments, and safety-stock policies. The package includes SQL query templates, data validation routines, and logging for audit trails. Developers receive a step-by-step setup guide for both on-premise and cloud hostings. This suite empowers supply chain managers to optimize stock levels and reduce carrying costs through data-driven insights. Recommended for operations managers, supply chain analysts, and inventory control teams.
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Inventory metrics calculation, trend analysis, PDF/Excel report generation, containerized scheduling
Digital product – combined Python and R scripts with Docker support
Supply chain analysts, inventory managers, operations teams
