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Application Portfolio Rationalisation

Legacy System Modernisation for Logistics Company

Replaced 3 legacy systems with modern cloud platforms for a logistics company, reducing downtime by 90% and enabling real-time shipment tracking with AI-powered route optimisation.

Client

SpeedCargo Logistics

Transportation & Logistics

Duration

6 weeks

Team Size

4 specialists

Location

Ahmedabad, Gujarat

Aging server room with outdated hardware

Before & After Transformation

See the dramatic improvements achieved through our strategic approach and technical expertise.

Aging server room with outdated hardware

Legacy systems with frequent downtime

Before

Use the tabs above to compare the transformation, or view side-by-side below:

Aging server room with outdated hardware
Before
Modern cloud-based fleet management dashboard
After

Measurable Results Achieved

Our data-driven approach delivers tangible improvements that directly impact business growth and operational efficiency.

🔧
90%
System Downtime
reduced
after cloud migration
22%
Fuel Costs
reduced
with AI route optimisation
📄
Same day
Invoice Cycle
reduced from 3-5 days
automated
4.7/5
Customer Satisfaction
improved from 3.1/5
within 6 months

Why These Results Matter

These metrics represent real business impact achieved through strategic planning, technical expertise, and continuous optimization. Each improvement translates to increased revenue, reduced costs, enhanced customer satisfaction, and sustainable competitive advantage for our clients.

The Challenge

A logistics company operating 150+ vehicles across Gujarat was running critical operations on legacy systems over 10 years old, suffering frequent downtime and inability to meet customer expectations for real-time tracking. **Legacy System Risks:** - Fleet management software running on Windows Server 2008 with no vendor support - Custom-built dispatch system with single developer dependency - Billing system requiring manual export to accounting software - No mobile access for 50+ field drivers and supervisors **Operational Impact:** - 4-6 hours of system downtime per month during peak operations - No real-time shipment tracking — customers called for updates - Route planning done manually on paper maps - Invoice generation delayed by 3-5 days after delivery

Our Solution

  • Assessed all legacy systems for technical debt, security risks, and business criticality

  • Designed cloud-first modernisation strategy with phased migration approach

  • Identified AI opportunity for route optimisation using historical delivery data

  • Created vendor evaluation matrix for fleet management and TMS platforms

  • Delivered risk mitigation plan ensuring zero operational disruption during transition

Project Overview

SpeedCargo Logistics, operating 150+ vehicles across Gujarat, was running operations on legacy systems that hadn't been updated in over a decade. Frequent downtime, zero mobile access, and no real-time tracking were causing customer churn and operational inefficiency. They needed a strategic modernisation plan without disrupting daily operations.

The Challenge

Critical Legacy Risks

  • Fleet management system on unsupported Windows Server 2008
  • Custom dispatch application with single-developer dependency — if they left, operations would halt
  • No disaster recovery — a single hardware failure could stop operations for days
  • Security vulnerabilities from unpatched legacy software

Operational Inefficiencies

  • 4-6 hours monthly downtime during critical delivery windows
  • Manual route planning using paper maps and driver experience
  • No real-time tracking — customers had to call for shipment updates
  • Invoice delays of 3-5 days due to manual data entry from delivery receipts

Our Rationalisation Approach

Phase 1: Risk Assessment & Inventory

  • Catalogued all systems with technical health scores and risk ratings
  • Identified 3 systems at critical risk (no vendor support, single dependencies)
  • Mapped all business processes dependent on legacy systems
  • Documented data formats and integration points for migration planning

Phase 2: Modernisation Strategy

  • Evaluated 8 cloud-based fleet management platforms against requirements
  • Designed cloud-first architecture on AWS with multi-availability zone setup
  • Created data migration strategy preserving 7 years of operational history
  • Planned mobile app rollout for drivers, supervisors, and customers

Phase 3: AI Opportunity Mapping

  • Analysed 3 years of delivery data across 150+ vehicles
  • Identified route optimisation potential using historical traffic and delivery patterns
  • Modelled projected fuel savings from AI-optimised routing
  • Recommended predictive maintenance capabilities using vehicle telemetry

Results Achieved

Infrastructure Reliability

  • 90% reduction in system downtime with cloud hosting
  • 99.9% uptime SLA from cloud-based fleet management platform
  • Automated backups with disaster recovery capability
  • Zero vendor lock-in risk with multi-cloud strategy

Operational Efficiency

  • 22% fuel cost reduction through AI-powered route optimisation
  • Same-day invoicing automated from digital delivery confirmation
  • Real-time tracking available to all customers via mobile app
  • 50+ drivers empowered with mobile access to assignments and navigation

Business Growth

  • Customer satisfaction improved from 3.1/5 to 4.7/5
  • 15% increase in customer retention within first 6 months
  • New enterprise clients won through real-time tracking capabilities
  • Predictive maintenance reducing vehicle breakdown incidents by 35%

Client Testimonial

"We were one server crash away from a complete shutdown. Dhīmahi assessed our risks, showed us a clear path to modernisation, and the AI route optimisation was the cherry on top. Best investment we've made in 15 years."

Harish Joshi, CEO, SpeedCargo Logistics

Services Utilized

Application Portfolio-RationalisationAi Automation

Project Gallery

AI route optimisation interface showing optimised delivery paths

AI-powered route optimisation saving 22% on fuel

"Our old systems were literally falling apart. Dhīmahi didn't just recommend replacements — they showed us how AI could transform our route planning. We're saving more on fuel than the entire modernisation cost."
Harish Joshi
CEO
SpeedCargo Logistics

Technology Stack

Modern, reliable technologies used in this project

Risk Assessment

Analysis

AWS Cloud

Infrastructure

Fleet Management SaaS

Operations

Google Maps API

Routing

Python ML

AI/ML

React Native

Mobile

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