Portfolio
Multi-Location Inventory Tracking Engine
Industry:
Retail / E-commerce
Built for retail operations to track stock levels across 500 unique digital addresses without manual website checks.
Problem
The manual monitoring of high-volume inventory endpoints created operational bottlenecks and increased labor costs.
Scale Challenges:
Difficulty checking availability across 500 addresses every day.
Resource Drain:
Staff spent excessive time on manual data entry and verification.
Data Latency:
Manual reports were often outdated by the time they reached stakeholders.
Solution
The system automates the data extraction and reporting pipeline to deliver daily inventory status without human intervention.
Automated Scraping:
Programmatic collection of stock data from 500 targeted addresses.
Data Formatting:
Automatic export of raw data into structured Excel files.
Scheduled Reporting:
Automated email delivery of daily reports to management.
Tech Stack
Language:
Python.
Data Handling:
Excel / CSV.
Delivery:
Email Automation API.
Results
Labor Efficiency:
Eliminated the need for manual data collection.
Data Accuracy:
Removed human error from the inventory tracking process.
Operational Speed:
Enabled faster restocking decisions through consistent daily reporting.
Web scraping & Market intelligence