Aptos is a Point Of Sale (POS) software solution that is widely accepted by retailers and growing multifold year on year. These Aptos POS transaction workflows are customizable, flexible, and dynamic, adapting to one’s existing store processes whether they are simple or complicated. Aptos POS delivers features that make the creation and management of promotional events and the execution of upselling activities a breeze. The software solution disrupts manual checkout processes, making it possible for customers to place and pay orders as quickly as possible. Also, it streamlines the back-end processes of stores and retail shops like tracking and managing inventories, implementing workforce management, and reviewing sales transactions and journal entries. Though being a legacy system, Aptos still ensures to give customers easy access to information and support, as well as a smooth, personalized checkout process that has made it be the renowned point of sale provider by overall market share, with engagements in tens of thousands of stores across the globe.
When a system like this stops working, as expected, there could be grave repercussions. Testing the application before every release is always the key to have the systems and functions in it to be intact since for manual validation we require more manpower due to unreliability and slowness of checkouts. Validation for payments will be a time-consuming process for multiple functionalities and combinations. Therefore, for a customer, it is very important for an application like Aptos to be reliable, scalable, easily maintainable, highly secured, and easily customizable and henceforth it demands a lot of focus on thoroughly testing the solution before it is deployed.
The Aptos POS transaction verification is incomplete without validating the data at the receipt and the Journal application. Testers need to make sure they store the correct data in the backend and that no transactions are left out. This verification can be a time-consuming process and to overcome this, a Robotic Arm framework implementation can be done to validate maximum transactions with minimal time. Also, the file uploading and downloading process for the latest implementation can be restructured by importing multiple files with a simple process.
Thus, to save manual testing time, a sound test automation strategy is paramount, and an automation framework should be built. It is true that automation testing has an edge over manual POS testing since it results in enhanced test coverage and reduced testing time and cost. It also provides objective testing evidence in the form of brief reports and tracks defect easily for faster troubleshooting. Aptos application generally interfaces with external systems such as Sales Audit, CRM, etc. The test cases require interconnection with such applications which in turn increases testing challenges and complexities. Also, POS vendors might have multiple versions of POS hardware and software. Therefore, maintaining the scripts for different versions and configurations becomes difficult and needs prior planning.
Aptos is a desktop POS application. With automation, we can increase the test coverage and ensure to ship high-quality, battle-tested software. Aptos POS operates as a server for each store whereas a centralized server can be brought to provide support for all the stores interconnected to it.
An important reason that makes robots more capable and efficient is their alliance with Artificial Intelligence (AI) and Machine Learning (ML). This combination of robots and AI/ML results in better efficiency and productivity as they introduce flexibility and learning capabilities in the previous rigid applications. Robots instructed with AI and ML are widely used in the customer service sector, where they interact with their customers. The more these robots interact with humans, the more they learn.
Also, these robots instructed with AI can perform a visual inspection, acoustic inspection, and prescriptive repair. They can spot out defects such as slight chips in the paint or broken tabs, sense the variations in vibrations or sound in automobile engines without having to dismantle the product and they can predict any kind of equipment failures well in advance and offer solutions and guidance to fix them. It is to be clear that testing an Aptos POS system is of huge importance that no organization is ready to compromise and the robotic arms came into existence that makes testing a POS system an easy job. We introduced the Digital Commerce quality automation framework (DCqaf), which automated almost 60% of the entire test suite. However, for various card transactions, each test case scenario had to be checked manually. 30% of the test cases are related to Europay, Mastercard, and Visa (EMV) and a manual testing process of each of these test cases was burdening when it came to resources and cash flow.
As a result, there was a need for a mighty automation solution in the pipeline that could easily be plugged in and work seamlessly throughout the entire business process. Aspire has designed the framework with the help of an in-house Research & Development team that has merged quality engineering with technology. The arm with a high torque stepper, which is integrated with a Graphical User Interface (GUI), bridges the gaps between the automation code and the arm. This arm is capable of calibrating different dimensions of the pin pad device and a pop-up is triggered to confirm the completion of each action.
Testing Aptos applications will not be repetitive and tedious anymore. The combination of automation and manual testing can be easily performed With Aspire’s Robotic Arm Solution. The ROI is huge and the need for human intervention is lesser than ever before allowing them to focus on other tasks that require their attention.
The Robotic Arm is now available and it is your call to acquire what is best for the growth of your organization!
Follow us on Aspire Systems Testing to get detailed insights and updates about Testing!
- Testing Aptos Point of Sale (POS) Software for Smart Retailers - January 2, 2020