Case Study: Automated Inventory Reconciliation

Client: Mid-size e-commerce retailer
Problem: Manual inventory updates causing overselling, lost sales, and frustrated customers.
Solution: We built a Python-based automation pipeline to sync inventory across multiple channels (WooCommerce, eBay, Shopify), using scheduled APIs, error-checking routines, and adaptive alerts. Result: 95% reduction in stock discrepancies, real-time inventory transparency, and fewer customer service calls.

Use Case: Smart Document Processing

Scenario: Law office buried in scanned contracts and PDFs.
Approach: We deployed a C++/Python hybrid workflow using Tesseract OCR and custom parsing logic to extract key terms, deadlines, and client info automatically. Documents were auto-tagged and uploaded to a secure portal, saving the team 30+ hours/week and eliminating manual entry errors.

Real Code, Real Results

Every project is powered by maintainable, test-driven code—whether it’s a cron-driven Python script, a headless Chrome bot, or a C++ microservice.
# Sample Python: Auto-generate report from incoming data
import pandas as pd
df = pd.read_csv('sales.csv')
summary = df.groupby('category').sum()
summary.to_csv('summary_report.csv')

Automation & QA

Automated testing and monitoring are baked in from day one: CI pipelines, robust error handling, comprehensive logs, and easy-to-read status dashboards. We deliver clear documentation and step-by-step troubleshooting for every client, with ongoing support for evolving needs.