Supply ChainAutomationPythonFalcon

CFC: Supply Chain Optimization Engine

Global Logistics & Direct Sourcing Automation at Softobiz

PythonFalconPostgreSQLAWS SESReactLinux
Strategic Objective

System Overview

A transparent direct sourcing model for enhancing global supply chain operations. It features a sophisticated system for tracking 'affected orders' (damaged or lost) and resolving them through Non-Conformance Reports (NCR).

Technical Leadership

Engineering Governance

Technical Lead at Softobiz for the modernization of order tracking and resolution systems. Introduced automated escalation flows that streamlined communication across global logistics clusters.

Deep Tech

Full-Stack Architecture

Developed using Python (Falcon framework) and PostgreSQL. Implemented an automated NCR system with precise calculation, document attachment (order invoices), and automated email triggering/escalation based on organizational hierarchy.

Business Impact

Reduced manual tracking and escalation overhead by 60%.

Optimized global transfer of goods and services through real-time logistics transparency.

Automated the entire resolution flow for manufacturers and retailers.

Key Engineering Resolves
Problem

Fragmented tracking of damaged goods across multi-site global operations.

Resolution

Created a centralized system for tracking affected orders with fully automated resolution and escalation workflows.