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Custom Delivery Management System Development for Logistics Optimization

darly solutions

Logistics

Transportation

Warehousing

Operational Inefficiencies in Delivery Management

The client faces significant challenges with manual delivery workflows causing frequent errors, delayed shipments, and poor customer satisfaction. Existing off-the-shelf solutions fail to address their complex requirements for real-time tracking, route optimization, and fleet management across multiple service lines.

About the Client

Established logistics provider offering trucking, warehousing, and international delivery services

Strategic Business Objectives

Replace manual workflows with a tailored delivery management system
Improve Net Promoter Score (NPS) by at least 28% through enhanced service reliability
Reduce delivery management errors by 30% via automation
Increase operational efficiency by 10% within first year
Decrease shipping times by 5% through optimized routing
Reduce transportation costs by 5% through process improvements

Core System Functionalities

Real-time shipment tracking across web and mobile platforms
AI-powered route scheduling and optimization
Multi-portal system (manager/driver/customer interfaces)
Integrated communication messenger for dispatch coordination
Automated invoice and report generation
Delivery time prediction engine with 95% accuracy
Fleet and driver management dashboard

Technology Stack Requirements

React

Node.js

Cloud-native architecture

System Integration Needs

GPS tracking systems
Payment gateways
Third-party logistics APIs

Performance and Operational Requirements

99.5% system availability through cloud deployment
Application Performance Index (Apdex) score of 91+
5% maximum error rate under peak loads
Mobile-responsive interface optimization
Scalable architecture for real-time data processing
Cost-efficient cloud resource utilization

Expected Business Impact

Implementation of this custom system is projected to deliver a 28% NPS improvement, 30% reduction in delivery errors, and 5% decrease in shipping times. The solution will enable 10% operational efficiency gains through automation while maintaining 99.5% system availability and reducing cloud infrastructure costs through optimized resource utilization.