Today, a significant advancement in supply chain technology was introduced with the launch of a new portfolio of Artificial Intelligence (AI) and Business Intelligence (BI) tools. Revealed at the Insights 2024 user conference, this innovative suite aims to transform enterprise resource planning (ERP) software, boosting its utility for supply chain operations and the workforce.
The new portfolio promises to move beyond the traditional one-size-fits-all approach to ERP by empowering workers to leverage AI for more effective thinking and learning. These tools support decision-making processes, reduce operational complexity, and drive higher levels of efficiency, innovation, and competitiveness across supply chains.
The Chief Product & Technology Officer behind the portfolio emphasized the importance of applying AI to well-defined, practical business issues and utilizing high-quality data. The new tools achieve these goals by integrating AI deeply into industry workflows, providing workers with actionable insights tailored to their specific tasks.
The portfolio utilizes various AI technologies, including generative AI, machine learning, natural language processing, and predictive analytics. It offers over 200 industry-specific use cases that adapt to the worker’s environment, enhancing efficiency and decision-making capabilities. Features such as AI-driven predictive analytics, AI-generated sales orders, and AI-powered predictive maintenance suggestions demonstrate the practical, outcome-focused applications of these tools.
Key components of the suite include a generative AI service integrated within an Industry ERP Cloud, offering contextual insights and task automation. This service can function as a code assistant for automating business processes or use conversational ERP to seamlessly access production and purchasing information.
Another significant feature is AI tools designed to efficiently solve industry-specific problems. Capabilities include generating multiple forecasts related to inventory and sales, creating sales orders from natural language emails, and offering personalized product suggestions based on order history. These tools aim to improve inventory management, reduce costs, and increase revenue.
Additionally, an inventory forecasting tool derived from a recent acquisition uses predictive analytics and scenario modeling to optimize inventory management with embedded machine-learning engines. A comprehensive financial planning and analysis module provides more accessible and accurate reporting.
The BI tool employs no-code technology to create visual dashboards and metrics, enabling users to transform and analyze data effectively. The recent expansion of data center availability in AWS U.K. supports international organizations better.
At its core, the Data Platform offers a full-stack, no-code solution for managing enterprise data, facilitating faster insights with enhanced visibility. Users can centralize their data to power AI and BI applications, customizing data pipelines with an interactive Pipeline Canvas.
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