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Development of an AI-Powered Logistics Optimization Platform for E-Commerce
  1. case
  2. Development of an AI-Powered Logistics Optimization Platform for E-Commerce

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Development of an AI-Powered Logistics Optimization Platform for E-Commerce

unosquare.com
eCommerce
Logistics
Information technology

Challenges in Logistics Efficiency

The client faces inefficiencies in delivery route planning, high fuel costs due to suboptimal routing, delayed deliveries during peak seasons, and a lack of real-time tracking capabilities, leading to customer dissatisfaction and increased operational costs.

About the Client

A leading e-commerce company specializing in fast delivery services with a growing need for scalable logistics solutions.

Key Project Goals

  • Develop an AI-driven route optimization system to reduce delivery times and fuel consumption
  • Implement real-time GPS tracking for fleet visibility
  • Integrate dynamic delivery scheduling based on traffic and weather conditions
  • Enhance customer satisfaction through accurate delivery time windows

Core System Functionalities

  • AI-powered route optimization engine
  • Real-time GPS tracking dashboard
  • Dynamic delivery window assignment
  • Integration with existing ERP and CRM systems
  • Predictive analytics for demand forecasting

Technology Stack

Python
TensorFlow
React.js
AWS Lambda
PostgreSQL

External System Integrations

  • Google Maps API
  • Fleet management ERP
  • Customer notification SMS gateway

Non-Functional Requirements

  • 99.9% system uptime SLA
  • Support for 10,000 concurrent users
  • GDPR-compliant data encryption
  • Response time under 500ms for critical APIs

Expected Business Impact

Projected 20% reduction in fuel costs, 30% improvement in on-time delivery rates, and 25% increase in customer retention within the first year of implementation, with scalability to support 50% growth in delivery volume.

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