A PoS data insights platform for retailers
Client:
SwiftIQ
Editor’s note: In January 2020, PDI, a global provider of ERP, fuel pricing, logistics, and marketing cloud solutions, acquired SwiftIQ. SwiftIQ is now PDI Insights Cloud.
Industry:
Retail
Type of work:
Scaled Engineering
Technology and Platforms:
Java, Angular JS, Apache Spark, Google Cloud Platform, jQuery, Bootstrap
For decades, brick-and-mortar retailers have struggled to measure and predict their customers’ purchasing preferences. Without accurate point-of-sale data, it’s difficult for retailers and brands to measure how effective an in-store display or promotion is. Without that data, how do we know what’s working and what isn’t?
Online retailers, in comparison, can mine from a wealth of data to segment their customers and create custom-tailored messaging that connects people with the products they want. For traditional stores, that level of data sophistication is far more challenging to achieve.
The SwiftIQ platform evens the playing field, providing retailers, brands, and distributors with “basket-level” data insights to help measure the effectiveness of point-of-sale transactions. Armed with real-time, granular data about their customers’ purchasing preferences, brands and stores can reclaim a competitive edge and better connect with their customers.
The Forte QA team built a test automation framework into the SwiftIQ platform, automating time-consuming tests. This makes the entire testing process smoother and faster, allowing QA analysts to focus on improving the product rather than running repetitive tests. Test automation helps identify bugs earlier, accelerating development time and improving the overall quality of a product.
Functional testing:
For any piece of software to be of value, it must meet the functional requirements established at the outset. Using functional testing, the Forte QA team ensured that the highest quality standards were met and that the platform functioned flawlessly.
Performance testing:
Any high-performance product — whether it’s a pair of running shoes or an F1 race engine—has to be rigorously tested to ensure it can stand up to high-intensity use. The same logic must also be applied to a quality software product. By testing for responsiveness, stability, and speed under demanding usage, QA analysts can build and improve performance standards in the product’s implementation, design, and architecture.
UI verification:
Using a graphical user interface (GUI), the Forte QA team ensured that the product was easy for people to use, met customers’ needs, and offered an exceptional user experience (UX).
Data-driven approach:
To improve the platform’s speed and ease of use, the Forte quality assurance (QA) and test team built data-driven test functionality into the SwiftIQ platform.
10x increase in test execution
$100+ BL in receipt-level point-of-sale data
5+ Years of strategic software partnership