Detect exceptions and create alerts for users.
This supply chain management system is designed to provide comprehensive oversight and control across the entire supply chain network to schedulers. At the core of this system is a highly advanced Control Tower, which integrates real-time visibility, data-driven decision-making, and seamless execution capabilities. One of the most critical features of this platform is its ability to detect exceptions. Upon detection, the system generates automated and actionable alerts, that are sent directly to relevant users. AI plays a foundational role in enabling the system’s advanced functionalities. AI algorithms are used to analyze large volumes of supply chain data and by leveraging historical data, the system is able to not only react to problems but also to predict potential future disruptions. This predictive capability is vital for proactive decision-making, allowing companies to develop contingency plans and allocate resources efficiently before issues arise.
Overview
Patient Access Optimization
Identify exceptions and support resolution and rescheduling to maximize patient access and minimize costs
Optimized Manufacturing Capacity
Optimize manufacturing for optimal capacity utilization, higher revenue, and reduced waste of materials
Healthcare User Experience
Improve user experience to the benefit of healthcare providers and patients
Details
Solution type
AI Feature
Plans and pricing
Choose a base plan
SAP Cell and Gene Therapy Orchestration, Exception Management
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Details:
- AI Units are currently required to use this AI offering in the underlying Cloud Service. Click here to learn more about AI Units.
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Payment methods:
- Click on “Activate with AI Units” to enable this AI Feature.
- Contract duration available upon request
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Details:
- AI Units are currently required to use this AI offering in the underlying Cloud Service. Click here to learn more about AI Units.
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Payment methods:
- Click on “Activate with AI Units” to enable this AI Feature.
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SAP Cell and Gene Therapy Orchestration, Exception Management