PhaseZero, a leading SaaS e-commerce, customer experience, and analytics company, recently introduced CxAnalytics 1.0. The launch of CxAnalytics 1.0 is yet another example of PhaseZero’s commitment to ongoing innovation and customer and market-driven versions of their CxCommerce enterprise Software-as-a-Service (SaaS) application platform.
It is a brand-new leadership analytics platform that combines data from across the entire organization and offers business managers insightful information to help them make high-impact, fact-based decisions that increase online sales, build market share, and enhance inventory management decisions.
CxAnalytics 1.0, a validated, pre-built analytics dashboard and comprehensive Data-as-a-Service solution, fulfills the promise of offering “AI and Analytics Driven Digital Commerce” solutions to manufacturing and distribution businesses. It is pre-integrated with CxCommerce, Google Analytics, and numerous ERP systems. With the help of its role-based intelligence, businesses can proactively manage customer growth, inventory and availability challenges, stockout priority, and search experience for their users.
Ram ChandraSekar, Founder and CEO at PhaseZero, said, “Companies today want to be data-driven, but many struggle to integrate their enterprise data and uncover the insights needed to make data-driven decisions,”. “With CxAnalytics, business leaders gain a proven, integrated data-as-a-service and analytics solution that reveals valuable insight to drive decisions that improve productivity, mitigate risk, and enable them to serve their customers better.”
The cloud-based CxAnalytics 1.0 release integrates data across the organization, combining best practices for manufacturing and distribution with the market-leading Microsoft Power BI user interface, empowering business users to manage their key business decisions while reducing or completely removing their reliance on expensive, in-house IT systems, development, and administration.
The data-as-a-service offering gives business users, developers, marketing firms, consulting and advisory service providers, systems integrators, and many other value-add service providers a simple and effective method to build and deploy data science and AI- and ML-driven applications, accelerating successful outcomes for both traditional and digital multi-channel business execution.
