Revolutionizing Logistics with Simulation

Client's Challenges: Slow Manual Testing Hurting Releases

The client's QA team had to check their OPS desktop app manually before every software patch. This made releases slow, stressful, and error-prone. When issues were found after a release, it forced urgent fixes or even rollbacks, causing delays for everyone.

Because of these headaches, users avoided updates unless they were absolutely needed - slowing progress and creating frustration across teams.

Key Challenges:

Manual testing wasted time, led to missed defects, and made users reluctant to accept new patches - hurting productivity and slowing innovation.

INTECH designed a Simulation tool to automate sanity testing. Instead of relying on slow manual checks, the Simulation tool runs realistic tests across multiple sites at once, quickly spotting problems before release.

The tool gives real-time updates so QA teams know exactly what's happening and where issues might appear. This lets the client catch bugs early, avoid costly surprises, and release updates faster and with more confidence.

Here are the key features:

Implementation process

First, we studied how the client's QA team worked and identified where manual processes slowed them down. We designed a Simulation tool customized to their OPS app, building it with reliable technologies like Core Java, ActiveMQ, and SQLite.

Next, we integrated the tool into their environment, tested it thoroughly on live systems, and trained the team on using its dashboards. Once deployed, the client could start running automated sanity checks before each patch, making releases faster and safer.

Here is how we did it: