Skip to main content

Case studies

Coming soon

Featured Case Study

How QAQuad helped a multi-national logistics firm migrate a 15-year-old on-premise ERP to a modern SaaS stack with zero critical production defects.

The Challenge

The client was migrating an aging, undocumented logistics ERP handling $2B+ in annual freight to a new cloud-native microservices architecture. Manual testing was taking 4 weeks per release, and previous migration attempts resulted in severe order-routing failures.

Our Approach

  • ✓ AI Discovery: Mapped 400+ undocumented legacy workflows and business rules.
  • ✓ Dual-Execution: Ran transactions in both the legacy and new system simultaneously.
  • ✓ Full-Stack Validation: Checked not just the UI, but API contracts and SQL database state to ensure data migrated perfectly.

The Findings

We identified 47 critical behavioral gaps between the old and new systems before go-live, including a tax calculation rounding error that would have cost $120k/month.

The Outcome

The client successfully cut over to the new system on a single weekend. Regression cycle time was reduced from 4 weeks to 3 hours using our automated Playwright suites.

Evidence-Driven

CASE STUDY VALIDATION STRATEGY

How we evaluate client architectures, trace defects to root causes, and measure regression impact.

Selected Strategy Focus: Root Problem Profiling

Engineered to scale coverage, reduce flaky runs, and accelerate deployment frequency.

Lifecycle Flow

From Initial Scoping to Verified Case Study

A transparent 4-stage process preserving confidentiality while showcasing verified technical outcomes.

  1. Engagement Scoping

    Identifying target business workflows, defect risk areas, and initial functional baseline.

  2. AI-Assisted Discovery

    Exploration across user journeys, capturing edge cases and unexpected application behaviors.

  3. Evidence Compilation

    Classifying defects by severity and capturing Playwright/Selenium traces and database mutation diffs.

  4. Review & Publication

    Publishing anonymized metrics and verified architectural outcomes with client authorization.

Be one of our first published case studies

Early engagements get closer collaboration and, with your permission, a chance to be featured here.