A Complete Guide to Building an AI-Ready Workforce
Build an AI-ready workforce with practical steps, key skills, real-world success stories, and strategic insights to future-proof your organization.
Read moreA software product company based in USA offering “on-demand” software solutions that span from warehouse management, inventory control, and order fulfilment to trading partner collaboration, extended enterprise and business intelligence.
Client needed to increase the market space for their product, and wanted to assess the existing product architecture and replatform from JAVA/J2EE to a newer technology with a robust architecture platform to improve product scalability and flexibility. The objective was to provide quick and easy customization capabilities to adapt the solution to meet each customer’s business needs with minimal impact on the core solution functionality, and ensure accessibility from portable clients like handheld devices, which are typically used for warehouse operations.
Quinnox helped design and develop a SaaS based Supply Chain and Warehouse Management solution to provide seamless integration with the customer’s existing enterprise applications. Quinnox assessed and analyzed the product architecture and recommended replatforming to Spring framework.
Quinnox adopted Agile based Iterative Methodology which ensured a shorter time to market where-in pieces of working functionality were delivered in an iteration of 4-5 weeks. The end-to-end development of the solution starting from inception to construction and testing was done from offshore. Web 2.0 architecture ensured availability anywhere via the Internet, cell phones and other wireless devices, as well as RFID.
Build an AI-ready workforce with practical steps, key skills, real-world success stories, and strategic insights to future-proof your organization.
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