Testing e-commerce applications is crucial to providing enriched e-shopping experience. This retailer used the right testing strategy and saved up to 96% of testing efforts while delivering a seamless customer experience.
Intelligent Document Processing (IDP) uses AI to extract data from invoices, contracts, and more. Automate tasks, reduce errors, and free up your team with our AI Document Extraction and Document Processing Services. It enhances efficiency by eliminating manual data entry, reducing errors, and accelerating processing times. IDP adapts to various document layouts and formats, making it versatile across industries to streamline workflows, and drive informed decisions swiftly.
Performance Testing enabled by CI/CT and APTf 2.0 helped achieve the following
Our client used linear automation testing which was not scalable. Data loss became a common occurrence due to daily data repetition. Our AI-ML powered DCqaf testing framework was implemented to support parallel execution in multiple environments without additional cost. Using DCqaf automation framework,
Traditional bank transfers can be slow and inconvenient. SEPA Instant Credit Transfer (SCT Inst) is changing the game by enabling real-time payments across Europe. Our comprehensive whitepaper explores the benefits of SCT Inst, including faster transactions, 24/7 availability, and increased security. It also dives into the upcoming ISO 20022 Version 4.0 update and how Aspire can help you implement SCT Inst.
Aspire’s automation experts have developed two automation testing frameworks that are AI-based: AFTA 5.0 (Aspire Framework for Test Automation), for cross-browser, cross-platform mobile testing and DCqaf (Digital Commerce quality automation framework) for addressing the challenges in e-commerce testing.
Experience seamless data management with Data Lakes on Cloud. By leveraging Data Lake Services, organizations can unlock scalable solutions tailored to their needs. With Data Lake as a Service, deployment becomes effortless, eliminating infrastructure hassles. Cloud-based Data Lake Architecture ensures flexibility, accommodating diverse data types effortlessly. Implementation is streamlined, seamlessly integrating with existing cloud environments. Data Lake Platforms offer robust ecosystems, integrating advanced analytics tools for actionable insights.
With 87% precision in data insights, data democratization can help organizations increase their revenue by over $2billion. This whitepaper offers multiple perceptions on how cloud-based data lakes can increase the usability of your data using data democratization as the base line.