نظام تحليل وإدارة طلبات المتاجر الإلكترونية — Python E-Commerce Intelligence System

A production-ready Python automation system designed from real e-commerce operational experience. Built as a deployable prototype for my upcoming brand and available for immediate client implementation.

Technical Stack: Python, Pandas, HTML/CSS

Core Features:

• Automated Data Processing: Reads order data from CSV/API/email and structures it into analytics-ready DataFrames

• KPI Engine: Calculates revenue, AOV, delivery rates, return rates, and geographic performance automatically

• Anomaly Detection: Flags high-value orders exceeding 2× average — directly applicable to fraud prevention and QC workflows

• Dynamic HTML Reporting: Generates professional, responsive web dashboards programmatically with zero manual design

• CSV Export: Clean data exports for accounting and ERP integration

Why This Exists:

Having managed QC and investigation for a major reverse logistics hub, I understand the data pain points e-commerce businesses face daily. This system eliminates 2–3 hours of manual daily reporting. It is built, tested, and ready for deployment.

Note: Portfolio materials use sanitized demonstration data. No proprietary information is included. System is ready for live Shopify, WooCommerce, or Gmail API integration.