logistics-delivery-analytics-dashboard

Logistics Delivery Analytics Dashboard — Portfolio Demo

Dashboard overview

A privacy-safe portfolio edition of a logistics delivery analytics dashboard. It demonstrates how route-level operational records can be transformed into weighted KPIs, team rankings, period comparisons, exception summaries, and management-ready visual reports.

Data safety: This project uses deterministic synthetic data and fictional labels only. It contains no production records, customer information, employer identifiers, private endpoints, API credentials, or proprietary mappings.

What It Demonstrates

Volume-weighted delivery performance calculations
Seven-day and thirty-day performance summaries
Period-over-period change tracking
Team ranking and route-level exception monitoring
Synthetic route, warehouse, volume, and delivery-rate generation
Automated PNG report creation with Pillow
Responsive Flask dashboard with interactive team tabs
Privacy-aware portfolio publishing

Technology Stack

Python
Flask
Pillow
HTML / CSS / JavaScript
Operations analytics
KPI reporting and data visualization

Run Locally

python -m venv .venv
source .venv/bin/activate      # Windows: .venv\Scripts\activate
pip install -r requirements.txt
python app.py

Open http://127.0.0.1:5000.

Repository Structure

app.py                 Synthetic data, KPI logic, and report generation
templates/index.html    Responsive portfolio dashboard
static/generated/       Generated synthetic report images
docs/                   Portfolio screenshots
requirements.txt        Python dependencies

Portfolio Value Proposition

This project shows my ability to convert operational data into clear decision-support tools while protecting confidential business information. The public version preserves the core reporting logic and user experience but replaces all sensitive inputs with reproducible fictional data.