Supply Chain Analytics Dashboard
Multi-page operational dashboard for delivery cost monitoring, transporter performance, and sales anomaly detection — built on Python Dash
CATEGORY
Python / Dashboard
STATUS
Internal
TECH STACK
RELATED CASE STUDY
Read the full storyThe Problem
What This System Was Built to Solve
Supply chain performance was invisible. Management relied on weekly manual spreadsheet consolidation — no unified view of delivery costs, transporter performance, or sales anomalies. By the time trends became visible, the window for corrective action had already closed.
The System
What Was Built
A Python Dash multi-page analytics dashboard designed for supply chain performance visibility. Reads directly from operational databases and renders interactive charts built around management decision points — not generic data displays. Covers delivery cost analysis per route, transporter performance comparison across periods, sales trend monitoring, and KPI tracking. Includes automated PDF report export and scheduled data refresh via APScheduler.
Capabilities
Key Features
Core capabilities built into this system — designed around operational workflow, not feature checklists.
Multi-page Dash application with modular page and component architecture
Delivery cost monitoring and anomaly detection per route and transporter
Transporter performance comparison across time periods
Sales trend analysis with configurable filters
Automated data refresh on schedule — no manual export step
PDF report export for management distribution
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