$3.6 trillion in global technical debt is not just a line item on a balance sheet; in the logistics industry, it’s a systemic risk that threatens the global supply chain. Most mission-critical Transportation Management Systems (TMS) and Warehouse Management Systems (WMS) are currently running on architectural foundations laid in the late 1990s. When these systems fail, ships sit idle, and "just-in-time" manufacturing grinds to a halt.
The traditional response—the "Big Bang" rewrite—is a suicide mission. Statistics show that 70% of legacy rewrites fail or significantly exceed their timelines. In an industry where 67% of legacy systems lack any form of up-to-date documentation, attempting to modernize by manual "software archaeology" is a recipe for a 24-month project that delivers 40% of the required functionality.
TL;DR: Modernizing mission-critical logistics systems requires moving away from manual code analysis toward video-first reverse engineering, reducing modernization timelines from years to weeks by using Replay to extract documented React components directly from user workflows.
The High Cost of Software Archaeology in Logistics#
Logistics software is notoriously complex. It isn't just a CRUD app; it’s a web of edge cases involving customs regulations, fuel surcharges, multi-modal routing, and EDI (Electronic Data Interchange) standards that have been patched over decades.
When you ask a senior developer to modernize a legacy dispatch screen, they spend 90% of their time playing detective. They are looking for the "why" behind a specific validation rule or a hidden calculation. This manual process takes an average of 40 hours per screen. Multiply that by 500 screens in a typical enterprise suite, and you’re looking at a $5 million discovery phase before a single line of production-ready modern code is even written.
The Modernization Matrix: Comparing Strategies#
| Approach | Timeline | Risk | Cost | Documentation |
|---|---|---|---|---|
| Big Bang Rewrite | 18-24 months | High (70% fail) | $$$$ | Manual / Poor |
| Strangler Fig | 12-18 months | Medium | $$$ | Incremental |
| Manual Refactoring | 24+ months | High | $$$$ | Non-existent |
| Video Extraction (Replay) | 2-8 weeks | Low | $ | AI-Generated / Automated |
💰 ROI Insight: By switching from manual extraction to Replay, enterprise logistics firms reduce the cost per screen from ~40 hours of senior engineering time to just 4 hours.
The Video-First Extraction Strategy#
The future of modernization isn't rewriting from scratch—it's understanding what you already have. The most accurate representation of a legacy system’s business logic isn't the messy source code; it’s the behavior of the system during a real-world user workflow.
By recording a dispatcher or a warehouse manager as they navigate the legacy system, Replay captures the "Source of Truth." It records the state changes, the API calls (or terminal emulator inputs), and the UI patterns. It then uses AI to reverse engineer these recordings into modern, documented React components and clean API contracts.
Step 1: Workflow Capture and Recording#
Instead of reading through 50,000 lines of undocumented Java or COBOL, you record the actual business process. For a logistics firm, this might be the "Load Tender to Invoice" workflow.
- •A subject matter expert (SME) performs the task in the legacy environment.
- •Replay records the interaction, capturing DOM mutations, network traffic, and state transitions.
- •The "black box" is opened, revealing the hidden logic that governs how a load is priced or how a carrier is selected.
Step 2: Automated Extraction and Component Generation#
Once the workflow is captured, Replay’s AI Automation Suite analyzes the recording. It identifies recurring UI patterns and extracts them into a centralized Library (Design System). This ensures that your new React-based TMS doesn't just work better—it looks consistent.
Here is an example of a component generated by Replay from a legacy logistics terminal recording. Notice how it preserves the complex business logic for fuel surcharge calculations that was previously buried in the legacy backend.
typescript// Generated by Replay: Legacy Dispatch Logic Extraction import React, { useState, useEffect } from 'react'; import { Button, Input, Card } from '@/components/ui'; interface DispatchProps { loadId: string; baseRate: number; miles: number; } export const FuelSurchargeCalculator: React.FC<DispatchProps> = ({ loadId, baseRate, miles }) => { const [surcharge, setSurcharge] = useState<number>(0); const [totalRate, setTotalRate] = useState<number>(baseRate); // Logic extracted from legacy 'SC-01' workflow recording const calculateSurcharge = (currentFuelPrice: number) => { const fuelPeg = 2.50; // Extracted from legacy config const multiplier = 0.05; // Extracted from legacy calculation engine if (currentFuelPrice > fuelPeg) { const adjustment = (currentFuelPrice - fuelPeg) / multiplier; const calculatedSurcharge = (adjustment * miles) / 100; setSurcharge(Number(calculatedSurcharge.toFixed(2))); setTotalRate(baseRate + calculatedSurcharge); } }; return ( <Card className="p-4 border-l-4 border-blue-600"> <h3 className="text-lg font-bold">Load # {loadId}</h3> <div className="grid grid-cols-2 gap-4 mt-4"> <Input label="Current DOE Fuel Price" type="number" onChange={(e) => calculateSurcharge(parseFloat(e.target.value))} /> <div className="text-right"> <p className="text-sm text-gray-500">Surcharge: ${surcharge}</p> <p className="text-xl font-bold">Total: ${totalRate}</p> </div> </div> <Button className="mt-4 w-full">Update Rate Table</Button> </Card> ); };
Step 3: Generating API Contracts and E2E Tests#
In mission-critical logistics, you cannot afford to break the integration with third-party carriers or government customs portals. Replay doesn't just generate the frontend; it generates the API contracts (OpenAPI/Swagger) required to support the new UI.
⚠️ Warning: Most modernization projects fail at the integration layer. Never build a new UI without first documenting the existing API or database schema via automated extraction.
yaml# Generated by Replay: API Contract for Legacy EDI 214 Integration openapi: 3.0.0 info: title: Logistics Modernization API version: 1.0.0 paths: /shipment/{shipmentId}/status: get: summary: Extracted from legacy 'Status Update' workflow parameters: - name: shipmentId in: path required: true schema: type: string responses: '200': description: Successful status retrieval content: application/json: schema: type: object properties: statusCode: { type: string, example: "AF" } reasonCode: { type: string, example: "NS" } timestamp: { type: string, format: date-time }
Solving the "Black Box" Problem in Regulated Environments#
Logistics companies operating in healthcare (cold chain) or government sectors face strict compliance requirements. You cannot simply "move fast and break things."
Replay is built for these regulated environments. With SOC2 compliance, HIPAA-readiness, and an On-Premise deployment option, it allows Enterprise Architects to modernize without moving sensitive data to the public cloud.
Technical Debt Audit#
Before you write code, Replay provides a Technical Debt Audit. This report identifies:
- •Dead Code: Features that users never actually touch in the recordings.
- •Redundant Workflows: Multiple screens that perform the same task.
- •Complexity Hotspots: Areas of the legacy system where the logic is so convoluted that it requires extra testing coverage.
💡 Pro Tip: Use the Technical Debt Audit to descope your project. If Replay shows that 30% of your legacy screens are never accessed by users, you can cut your modernization timeline by 30% immediately.
Step-by-Step: Modernizing a Legacy Dispatch Terminal#
Step 1: Assessment and Inventory#
Use Replay to inventory your existing screens. Instead of a manual spreadsheet, use the Flows feature to visualize the current architecture. You will likely find that your "simple" TMS actually has 400+ distinct states.
Step 2: Recording the "Golden Path"#
Have your best dispatchers record the "Golden Path"—the most common and successful way to complete a task. Replay captures these as Blueprints.
Step 3: Component Extraction#
Use the Replay AI Suite to convert these Blueprints into a React-based Library. This library becomes your new Design System, ensuring that as you modernize, every new screen follows the same UX patterns.
Step 4: Verification with E2E Tests#
Replay automatically generates Playwright or Cypress E2E tests based on the original recordings. This ensures that the new system behaves exactly like the old system where it matters most.
- •Record: Capture the legacy behavior.
- •Compare: Run the generated tests against the new React component.
- •Validate: Ensure the fuel surcharge, tax calculations, and routing logic match to the penny.
Frequently Asked Questions#
How long does legacy extraction take?#
While a manual rewrite takes 18-24 months, Replay typically reduces this to 2-8 weeks for a standard enterprise module. The extraction of a single complex screen, including documentation and React component generation, takes approximately 4 hours compared to the industry average of 40 hours.
What about business logic preservation?#
This is the core strength of Replay. By using video as the source of truth, Replay captures the actual outputs and state changes of the legacy system. It doesn't just guess what the code does; it observes what the code actually produced during a real user session.
Does Replay support mainframe or green-screen applications?#
Yes. Replay can record any workflow that a user interacts with on a desktop or web interface. This includes terminal emulators used for AS/400 or Mainframe systems common in the logistics and insurance industries.
Can we deploy Replay on-premise?#
Yes. For organizations in highly regulated sectors like Government, Financial Services, or Healthcare, Replay offers full on-premise deployment to ensure that sensitive data never leaves your secure perimeter.
Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.