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January 31, 20268 min readThe Transportation Industry:

The Transportation Industry: Modernizing Fleet Management Systems with Visual Extraction

R
Replay Team
Developer Advocates

70% of legacy rewrites in the transportation industry fail before they ever reach the dispatch floor. While the $3.6 trillion global technical debt looms over every sector, fleet management systems (FMS) are particularly vulnerable. These systems are the nervous systems of global logistics, yet most are held together by undocumented Delphi code, crumbling Silverlight wrappers, or terminal emulators that no living employee fully understands.

The traditional "Big Bang" rewrite is a death march. For a mid-sized carrier, an 18-24 month timeline is the standard estimate, but 67% of these systems lack any form of documentation, leading to "archaeology" sessions that double the budget. The future of the transportation industry isn't rewriting from scratch—it's understanding and extracting what you already have.

TL;DR: Modernizing legacy fleet management systems through visual reverse engineering allows enterprises to bypass the "archaeology" phase, reducing modernization timelines from years to weeks by using Replay to extract documented React components directly from user workflows.

The High Cost of Documentation Gaps in Logistics#

In the transportation industry, business logic is often buried in the UI layer of legacy applications. Validation rules for Hours of Service (HOS), complex fuel tax calculations (IFTA), and proprietary routing algorithms are frequently undocumented. When you attempt a manual rewrite, your developers spend 40 hours per screen just trying to map the existing state and logic.

Manual reverse engineering is a game of telephone. A business analyst watches a dispatcher work, writes a requirement, a developer interprets that requirement, and the result is a "modern" app that misses 20% of the critical edge cases.

Modernization Framework Comparison#

MetricManual Rewrite (Big Bang)Strangler Fig PatternVisual Extraction (Replay)
Timeline18–24 Months12–18 Months2–8 Weeks
Risk ProfileHigh (70% failure rate)MediumLow
DocumentationHand-written (often incomplete)IncrementalAutomated & Precise
Average Effort40 hours / screen25 hours / screen4 hours / screen
Cost$$$$$$$$

From Black Box to Documented Codebase#

The bottleneck in transportation modernization isn't writing the new code; it's deciphering the old code. Replay changes the "source of truth" from a missing README file to the actual execution of the software. By recording a real user workflow—such as a dispatcher assigning a load or a technician closing a work order—Replay captures the intent, the data structures, and the UI state.

Step 1: Visual Recording and Workflow Mapping#

Instead of reading 50,000 lines of legacy Java or PowerBuilder, you record the workflow. Replay's visual reverse engineering engine tracks how data moves through the legacy screen. In the transportation industry, this is vital for capturing "hidden" logic, like how a specific terminal handles cross-docking exceptions.

Step 2: Extracting the Component Library#

Once the workflow is captured, Replay identifies repeated UI patterns. In a fleet management context, this might be a complex data grid showing truck locations, fuel levels, and driver status. Replay generates documented React components that mirror this functionality but utilize modern architecture.

Step 3: Generating API Contracts and E2E Tests#

Legacy systems are notorious for having "leaky" APIs or no APIs at all (direct database manipulation). Replay analyzes the data flow during the recording to generate OpenAPI/Swagger contracts. This ensures your new React frontend has a strictly typed contract to communicate with, even if the backend is still being migrated.

💰 ROI Insight: By moving from 40 hours of manual analysis per screen to 4 hours with Replay, an enterprise with a 100-screen application saves approximately 3,600 engineering hours—roughly $540,000 in direct labor costs alone.

Technical Implementation: Bridging the Gap#

When modernizing a fleet dispatch module, you need to preserve complex business logic while moving to a modern stack like React and TypeScript. Below is an example of how Replay extracts a legacy state machine and converts it into a clean, maintainable React component.

Example: Generated Dispatch Logic Extraction#

typescript
// Generated by Replay AI Automation Suite // Source: Legacy Dispatch Module (WinForms/WPF) // Workflow: Load Assignment & Driver Validation import React, { useState, useEffect } from 'react'; import { useDispatchAPI } from '@/hooks/useDispatchAPI'; import { DriverStatus, LoadAssignment } from '@/types/fleet'; interface DispatchCardProps { loadId: string; onAssignmentComplete: (driverId: string) => void; } export const ModernDispatchCard: React.FC<DispatchCardProps> = ({ loadId, onAssignmentComplete }) => { const [isValidating, setIsValidating] = useState(false); const { validateDriverHOS, assignLoad } = useDispatchAPI(); // Replay extracted this specific validation logic from the legacy "btnAssign_Click" event const handleAssignment = async (driverId: string) => { setIsValidating(true); try { // Preserved legacy business rule: Drivers must have > 4 hours left on HOS for this route const hosStatus = await validateDriverHOS(driverId); if (hosStatus.remainingHours > 4) { await assignLoad(loadId, driverId); onAssignmentComplete(driverId); } else { alert("Compliance Warning: Driver insufficient HOS for this load."); } } finally { setIsValidating(false); } }; return ( <div className="p-4 border rounded-lg shadow-sm bg-white"> <h3 className="text-lg font-bold">Load # {loadId}</h3> {/* Replay generated UI based on legacy layout but mapped to Tailwind CSS */} <button disabled={isValidating} onClick={() => handleAssignment('D-102')} className="mt-2 px-4 py-2 bg-blue-600 text-white rounded" > {isValidating ? 'Validating Compliance...' : 'Assign Driver'} </button> </div> ); };

⚠️ Warning: Never attempt to modernize a transportation system without first generating an E2E test suite. Legacy systems often have "load-bearing bugs"—undocumented quirks that the business has relied on for decades. Replay automatically generates these tests during the extraction process.

Preserving the "Flows" of Transportation Logic#

The transportation industry relies on sequential workflows: Quote -> Order -> Dispatch -> Tracking -> Invoice. When these flows are broken during a rewrite, the business grinds to a halt.

Replay’s Flows feature visualizes the architecture of these legacy processes. It creates a map of how data travels from a legacy mainframe or AS/400 system into the modern UI. This allows architects to see exactly where technical debt is concentrated.

Step-by-Step Modernization with Replay#

  1. Assessment: Use Replay's Technical Debt Audit to identify which modules are the best candidates for extraction. Focus on high-value, high-risk areas like "Rate Management" or "Maintenance Scheduling."
  2. Recording: Have a subject matter expert (SME) perform the core tasks in the legacy system while Replay records the session.
  3. Blueprints: Use the Replay Blueprint editor to refine the extracted components. This is where you can swap out legacy UI elements for your modern Design System (Library).
  4. Integration: Export the generated React components and API contracts into your CI/CD pipeline.
  5. Validation: Run the Replay-generated E2E tests against both the legacy and modern systems to ensure 1:1 functional parity.

Data Extraction and API Parity#

One of the greatest risks in the transportation industry is data corruption during a migration. Legacy systems often use non-standard data formats for GPS coordinates or timestamps.

typescript
/** * Replay Generated API Contract * Legacy System: Mainframe Terminal Emulator * Target: Modern REST API */ export interface LegacyGPSPacket { // Extracted from legacy hex stream lat_raw: number; // e.g., 407128 long_raw: number; // e.g., -740060 timestamp_unix: number; } /** * Replay extracted the conversion logic hidden in the legacy middleware */ export function transformLegacyGPS(packet: LegacyGPSPacket) { return { latitude: packet.lat_raw / 10000, longitude: packet.long_raw / 10000, formattedDate: new Date(packet.timestamp_unix * 1000).toISOString(), }; }

Built for Regulated Environments#

The transportation industry is heavily regulated. Whether it's HIPAA-compliant medical transport or SOC2-compliant financial logistics, security is non-negotiable. Replay is built for these environments, offering:

  • On-Premise Availability: Keep your proprietary logistics logic within your own firewall.
  • SOC2 & HIPAA Readiness: Ensure that sensitive driver or patient data is never exposed during the reverse engineering process.
  • AI Automation Suite: Leverage AI to clean up extracted code without sending data to public LLMs.

📝 Note: Unlike "low-code" platforms that lock you into a proprietary vendor, Replay generates standard React/TypeScript code that your team owns entirely. There is no runtime dependency on Replay once the code is exported.

Frequently Asked Questions#

How long does legacy extraction take for a standard FMS?#

While a full manual rewrite takes 18 months, visual extraction with Replay typically takes 2 to 8 weeks. This includes the time to record workflows, extract components, and validate the new UI against the legacy logic.

What about business logic preservation?#

This is Replay's core strength. By recording the actual execution of the software, we capture the logic that exists in the runtime, even if the source code is lost or obfuscated. The generated code includes the state transitions and validation rules captured during the recording.

Can Replay handle green-screen or terminal-based systems?#

Yes. Replay’s visual extraction engine works at the UI rendering layer. Whether it’s a 3270 terminal, a PowerBuilder app, or a legacy web portal, if a user can interact with it, Replay can extract the workflow and document the underlying data structures.

Does this replace our existing developers?#

No. Replay is a force multiplier for your Enterprise Architects and Senior Developers. It removes the "grunt work" of manual documentation and component scaffolding (saving 36 hours per screen), allowing your team to focus on high-level architecture and new feature development.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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