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CASE STUDY

Streamlining Logistics App Testing with Tosca

Used Tosca’s model-based automation with API-UI chaining to accelerate regression testing in logistics workflows, enabling end-to-end validation, improved coverage, and faster, more reliable releases.
LOGISTICS
Steinweg About
ABOUT THE CLIENT

Driving Innovation in the Logistics Sector

Steinweg About

The client is a leading logistics and supply chain provider managing complex operations across warehousing, transportation, and dispatch coordination. Their digital platform supports high-volume order processing and real-time shipment tracking, integrated through tightly coupled web, API, and mobile layers. As the business scaled and introduced frequent updates, ensuring stability across core workflows became critical. The client sought a sustainable automation strategy that could keep pace with change while reducing manual QA effort and release bottlenecks.

HIGHLIGHTS
90%

Coverage Achieved

20+

Critical bugs caught

  • Higlight Arrow RightDelivered API-UI chained validations via Tosca
  • Higlight Arrow RightReduced maintenance with model-based test design
  • Higlight Arrow RightAccelerated release cycles by automating pre-release sanity checks

Tools we Used

PROBLEM STATEMENT

Tackling Coverage Challenges in Complex Workflows

Medormatics Problem
As workflows grew more complex across UI and API layers, automation coverage became fragmented. Key scenarios remained partially automated, with edge cases still tested manually. App changes led to outdated tests, and manual data setup caused delays and inconsistencies. These issues highlighted the need for a more adaptive, end-to-end automation strategy.
Steinweg Problem
Steinweg Solution
OUR SOLUTION

Tosca-Driven Automation for Layered, Complex Testing

Automation Stock Solution
  • Union IconUtilized Tosca’s API + UI test chaining to validate full workflows
  • Union IconCreated reusable models for rapid updates across test suites
  • Union IconCentralized test data using Tosca’s Test Data Service (TDS)
  • Union IconConfigured business-layer modules with minimum maintenance
  • Union IconIntegrated Tosca tests with CI/CD for full-lifecycle coverage
  • Union IconAchieved rapid test creation via drag-and-drop model building

What we did?

API–UI Workflow Chaining
Reusable Module Strategy
Test Data Management
CI/CD Pipeline Integration

API–UI Workflow Chaining

To make sure real-world workflows were properly validated, the QA team worked closely with developers to identify critical scenarios, like creating a shipment through an API and confirming its status on the UI. Once these flows were mapped, they were automated in Tosca using its API–UI chaining capability. No scripting was needed, which made implementation faster and less error-prone. As a result, those complex, layered workflows were finally covered end-to-end, something that had been difficult with traditional tools like Selenium or Postman.

Reusable Module Strategy

Rather than creating test cases from scratch each time, the team chose a modular approach. Common actions such as logging in, approving orders, or updating dispatch statuses were turned into reusable Tosca modules. Peer reviews were used to keep things consistent, and whenever the UI changed, only the affected module needed an update. This approach saved a significant amount of time, especially during releases, and helped new testers ramp up more quickly without having to reinvent the wheel.

Test Data Management

Test data had always been a pain point, especially for workflows tied to live inventory or specific user roles. To get ahead of it, the team audited existing tests to understand where data dependencies were causing issues. Tosca’s Test Data Service was brought in to manage this more dynamically, and automated cleanup scripts were added to keep environments stable. As a result, test failures due to missing or outdated data were significantly reduced, and runs became more consistent across environments.

CI/CD Pipeline Integration

The team wanted to catch issues earlier, so test automation was integrated into the CI/CD pipeline with help from DevOps. A lightweight smoke suite was set up to run after each commit, while full regressions were scheduled overnight. Slack and Jira were connected to alert the team in real time when tests failed, with direct links to the related user stories. This setup gave everyone faster feedback, helped fix bugs sooner, and made releases smoother and more predictable.

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