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Logistics / Quality Engineering

20% faster releases by stabilizing a global logistics platform’s regression

a global logistics platform · Logistics · Supply Chain

70%
regression pipeline stability (pass >40% → 70%)
90%+
automation coverage
90%
fewer critical production defects
20%
faster go-to-market
The context

A global logistics and supply-chain platform was grappling with quality and reliability issues that delayed releases, raised cost and dented customer satisfaction.

The challenge
  • Frequent test failures and limited automation coverage.
  • Unreliable execution cycles delaying go-to-market.
  • Rising risk of production defects.
What we did

Process consulting, framework enhancements, regression-suite stabilization and backlog automation — for faster, higher-quality releases.

  • Audited and optimised test cases to stabilise the regression pipeline.
  • Enhanced the QA framework to fit evolving requirements.
  • Automated critical backlog cases and defined inclusion criteria.
Draft — pending client approval
Stabilizing our regression took 20% off our time-to-market and cut critical production defects by 90%. Releases stopped being something we dreaded.
Engineering lead
Stack & tooling
Azure DevOpsGitHubPostmanSeleniumJUnit

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