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Enterprise Web Platform

HelperLogs Web Portal

An intelligent logistics management dashboard that leverages AI/ML to optimize delivery routes.

28%

eta Improvement

40%

automation

22%

cost Reduction

HelperLogs Web Portal

Project Overview

An intelligent logistics management dashboard that leverages AI/ML to optimize delivery routes, predict ETAs with high accuracy, and automate dispatching decisions for fleet operations.

The Challenge

The client's logistics operations were plagued by inefficient manual dispatching, inaccurate ETA predictions causing customer dissatisfaction, and lack of real-time visibility into fleet performance. Dispatchers were spending 60% of their time on route planning instead of exception handling.

Our Solution

Architected a React + Node.js enterprise dashboard featuring TensorFlow-powered route optimization algorithms and vector-based semantic matching via Pinecone for intelligent driver-order matching. Built real-time tracking with WebSocket integration and predictive analytics for proactive delay management.

AI-driven route optimization with traffic prediction
Real-time fleet tracking with geofencing alerts
Predictive ETA engine using historical data patterns
Automated smart dispatching system
Driver performance analytics dashboard
Customer notification automation

Technical Architecture

Microservices
Event Sourcing
CQRS Pattern
Real-time Data Pipeline

Tangible Results

+28%Improvement over baseline
ETA Prediction Accuracy
40%Automation rate
Manual Dispatching Reduced
-22%Monthly savings
Operational Costs
+35%NPS improvement
Customer Satisfaction

Technologies Used

ReactNode.jsTensorFlowPineconePostgreSQLRedisSocket.IOAWS ECSDocker

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