Business Automation
Industry: Logistics
•
Client: SwiftShip Logistics
Logistics Automation System
Python
React Native
TensorFlow
Google Maps API
Firebase
01
The Core Problem & Challenge
Manual route planning and inventory tracking caused delays and increased operational costs significantly.
02
Engineered Architecture & Solution
AI-powered route optimization, real-time tracking, automated inventory management, and driver mobile app.
Deployment Parameters:
High-concurrency database queries
Automated queue worker management
Role-based authorization and logging
Zero-downtime blue/green deployment
03
Outcomes & Measured Impact
25% reduction in fuel costs, 40% faster deliveries, and 80% reduction in manual data entry.
Project Overview
- Category
- Business Automation
- Sector
- Logistics
- Completion
- February 2024
- Architecture Team
- Creavix Surat Core
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