Inteliny
LogisticsEnterprise6 Months

Revolutionizing Global Logistics with Autonomous AI

Automating route optimization and demand forecasting for a global logistics leader.

Operational ROI

0%

Year-on-year savings

Accuracy

0%

Predictive precision

Efficiency

0X

Increase in velocity

Executive Summary Card

Inteliny Enterprise Briefing

Business Challenge

Legacy infrastructure bottlenecking release velocity and causing scaling latency during peak workloads.

Strategic Objective

Migrate to zero-trust microservices on AWS/Kubernetes with zero downtime and 99.99% availability.

Delivered ROI

35% reduction in cloud TCO and 14x faster deployment cycles with automated CI/CD pipelines.

Client

Global Enterprise

Industry

Logistics

Company Size

5,000+ Employees

Region

North America / Global

Core Stack

AWS, Kubernetes, React

Timeline

6 Months

The Business Challenge

Overcoming Monolithic Bottlenecks & Operational Risks

A global logistics provider was struggling with siloed data and manual route planning, leading to $2M in annual fuel wastage and frequent delivery delays that damaged brand reputation.

Key Friction Points

  • Slow release cycles stretching over 3+ weeks per deployment.
  • Single points of failure across legacy database clusters.
  • Excessive cloud compute costs due to unoptimized server provisioning.
TRANSFORMATION_KPI
Logistics

MEASURED IMPACT

140%

Deployment

Zero-Downtime

Compliance

100% Audit Passed

Target Architecture: Microservices & Event StreamVERIFIED_ROI
EnterpriseAI
Architectural Solution

The Inteliny Transformation Strategy

Inteliny implemented a decentralized AI infrastructure that processes 10M+ data points daily. We deployed a custom route-optimization engine that synchronizes real-time traffic, weather, and fleet health into a unified command center.

Microservices Migration

Decoupled monolithic services into independent containerized workloads on Kubernetes clusters.

Zero-Trust Cloud Governance

Enforced fine-grained IAM policies, continuous compliance monitoring, and automated threat isolation.

Real-Time Observability

Integrated automated metric dashboards and alerting to prevent latency spikes before user impact.

Execution Roadmap

Phase-by-Phase Delivery Protocol

01

Discovery

Audit & Risk Analysis

02

Planning

Architecture Design

03

Development

CI/CD & Microservices

04

QA & Audit

Zero-Trust Testing

05

Cutover

Zero-Downtime Migration

06

Optimize

Telemetry Monitoring

Technology Infrastructure

Deployed Tech Stack

AWS CloudKubernetesDockerNode.jsReact / Next.jsMongoDBRedisCloudflareGitHub ActionsTerraformDatadog

System Topology

Enterprise Cloud Architecture

Global Users
CDN / WAF
API Gateway
Kubernetes Pods
DB Cluster

Transformation Impact

Before vs. After Benchmark

Metric ParameterBefore IntelinyAfter Inteliny Transformation
Deployment FrequencyEvery 3 Weeks (Manual)14x Daily (Automated CI/CD)
System Availability SLA99.2% (Frequent Outages)99.99% High Availability
Infrastructure Cost (TCO)Unoptimized $180K/mo$115K/mo (-35% Savings)
Page Load Latency4.8 Seconds0.6 Seconds (Sub-second)

"Inteliny didn't just give us a tool; they gave us a future. Our operations are now truly autonomous."

Robert Vance

COO, GlobalRoute Logistics

Frequently Asked Questions

Enterprise Implementation FAQ

The project was executed in 6 phased sprints over 12 weeks, ensuring zero disruption to live customer traffic.

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Revolutionizing Global Logistics with Autonomous AI | Inteliny Case Study