Supply Chain

Oracle has integrated advanced analytics into its Fusion Supply Chain Management platform, utilizing Oracle Analytics Cloud and the Autonomous Data Warehouse to address global supply chain challenges. Since 2019, this integration has provided businesses with real-time insights and prebuilt metrics to manage supply-demand discrepancies and order fulfillment. The use of AI and Oracle Advanced Supply Planning tools gene…

Oracle Enhances Supply Chain Management with Integrated Analytics Solutions

Oracle has integrated advanced analytics into its Fusion Supply Chain Management (SCM) platform, incorporating prebuilt metrics and dashboards to enhance supply chain performance. This initiative utilizes Oracle Analytics Cloud and the Autonomous Data Warehouse, offering a comprehensive data solution for businesses.

Addressing Global Supply Chain Challenges

Amid a global supply chain crisis characterized by shortages and over-ordering by retailers, Oracle's analytics integration provides timely insights. By analyzing live SCM data, businesses can better respond to supply-demand discrepancies. The dashboards offer real-time monitoring of key performance indicators, assisting companies in managing order fulfillment more effectively.

The integration, which began in 2019, aims to equip businesses with the tools needed to navigate complex supply chain dynamics. Prebuilt analytical formulas help predict future outcomes, identifying potential anomalies that could disrupt supply chains.

Advanced Planning and AI Integration

Oracle's solution is further enhanced by the inclusion of Oracle Advanced Supply Planning (ASCP) tools, which gather master data and supply-demand snapshots. This system generates actionable suggestions for order adjustments and rescheduling, with daily planning processes producing over 500 recommendations for supply chain planners.

Artificial Intelligence (AI) plays a significant role in this transformation, simulating human intelligence for improved problem-solving. The integration of AI represents a shift in supply chain management, as AI-driven decision-making reduces the burden on human planners and streamlines operational processes.

Leveraging Historical Data and AI Models

Historical data is crucial for the development of effective AI models, which are designed to adapt to supplier-specific changes. Data preprocessing, including handling NULL records, ensures that AI models are robust and reliable. These models can be converted into APIs, facilitating seamless integration with third-party data sources.

The AI platform, known as Lyric or ChainBrain Inc., enhances supply chain operations by optimizing inventory management and logistics. As businesses face increasing demand for advanced tools, Oracle's solution addresses common challenges in data preparation and transformation, which have been highlighted by Gartner as significant hurdles in analytics adoption.

Customization and Industry Transformation

Lyric Studio offers customizable decision-making intelligence, allowing businesses to tailor the platform to their unique needs. The seamless integration with existing data platforms enables companies to expand their capabilities into various use cases, enhancing AI-based automation tools to meet evolving industry demands.

As the supply chain industry undergoes significant transformation, Oracle's integrated analytics solutions provide businesses with the tools needed to adapt and thrive. By addressing key challenges and offering advanced analytical capabilities, Oracle positions itself as a pivotal player in the ongoing evolution of supply chain management.