Versa Cloud ERP Testing

Versa Cloud ERP Testing.



We established Versa Cloud to address the issue of ERP technology causing more complications for inventory-intensive businesses than actual solutions. This leads to increased costs, complexity, and headaches. There’s a much better way.

Our goal at Versa is to support your business growth without adding to your expenses and complexities. We are strong advocates for simplicity in everything we do.

We’ve designed our company to be approachable, and our product is just as simple. It’s easy to purchase, deploy, use, connect, and customize.

We recognize that your business is unique, and so are we. We’re developing an ERP solution that enables you to excel in your work. Take a moment to discover how Versa can help you decrease costs by replacing a few products you currently use, streamline your operations, and reignite your passion for your business.

For the implementation of Versa Cloud ERP, you will encounter several complex alterations that adjust the system’s default behavior to better suit your processes. Therefore, when rolling out and updating this implementation, it’s essential to ensure that any previously made modifications still function as expected.

Typically, the process begins with manual validation, whereby certain assigned individuals scrutinize existing functionality to ensure it operates correctly.

However, as the validation volume increases, you may find that the process becomes time-consuming, impeding progress and efficiency. Moreover, the human element introduces the risk of errors and the potential for significant issues to be overlooked.

This is where the need for an automated system to replace manual validation activities becomes apparent. Automation can significantly reduce the time and resources spent on validation, enhancing its accuracy and efficiency. Nonetheless, this process presents its own challenges:

  • First, there’s the issue of constant updates and test maintenance. Versa Cloud ERP is regularly updated with new versions, which could cause your test automation to fail due to subtle changes introduced in the new release. This could render a large portion of your tests obsolete, thus undermining the very purpose of test automation.
  • Second, there’s the requirement to hire engineers capable of building automation. These highly-skilled professionals can be challenging to find and represent a substantial investment for your organization.

Fortunately, there’s a solution: testRigor. testRigor is a revolutionary human emulator that understands English and conducts tests from the perspective of an end-user. This innovative approach to automation allows your organization to simultaneously achieve multiple key objectives:

  1. Enable your existing employees to build test automation, regardless of their technical proficiency. As testRigor is an AI-driven, no-code solution, setting up the environment and building tests becomes a much more seamless and efficient process compared to traditional testing tools.
  2. Ensure your automation system is robust enough to withstand the release of new versions. Unlike other systems, testRigor does not rely on the detailed specifics of the implementation. This results in unparalleled stability, saving countless hours each week.
  3. Enhance visibility within the team, as anyone will be able to understand the tests and contribute if needed.
An example of a test could be:

If you’re interested in trying out testRigor and viewing a demo of how it works on Versa Cloud ERP, please fill out the form below.

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AI Applications

One potential AI application for Release Notes could involve natural language processing (NLP) to analyze and categorize the user roles and synonyms mentioned in the release notes. The AI system could be trained to identify and extract user roles and synonyms from the text, and then use this information to enhance user experience in various ways.

For instance, the AI could be used to automatically generate user-specific release notes summaries, highlighting changes relevant to specific user roles. This could streamline the communication of updates to different user groups, improving user engagement and adoption of new features.

Additionally, the AI could utilize the extracted synonyms to improve search and recommendation systems within the application. By understanding the various synonyms used for specific features or actions, the AI could enhance its ability to accurately interpret user queries, leading to more relevant and precise search results.

Furthermore, the AI could also be leveraged to perform sentiment analysis on user role-specific feedback within the release notes, providing valuable insights to product teams about how different user groups are responding to updates and changes.

In summary, AI applications for release notes could involve NLP-based analysis of user roles and synonyms to personalize communication, improve search and recommendation systems, and provide valuable insights into user sentiment.