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.
“Stabilizing our regression took 20% off our time-to-market and cut critical production defects by 90%. Releases stopped being something we dreaded.”
Stack & tooling
Azure DevOpsGitHubPostmanSeleniumJUnit