What supply chain and manufacturing digital investments generate the most value?
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Generative, traditional and agentic AI, including in the form of purpose-built tools, can drive
significant value across multiple use cases—including automation, decision support, supply chain planning and agility, demand forecasting and stockout prediction.
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How can agentic AI improve supply chain resilience and optimize operations?
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ZS’s agentic AI can not only execute routine tasks, supporting efficiency and productivity, but can also build
supply chain resilience by generating real-time data analysis, predictive insights and data-driven suggestions for operational improvement. And our AI agents do this with minimal oversight.
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How can we achieve end-to-end connectivity in supply chain and manufacturing?
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From design to delivery, supply chain and manufacturing leaders need real-time visibility and integrated planning across their own business units, commercial and R&D, as well as external stakeholders like suppliers. To achieve this connectivity, you must not only pursue tactical gains such as advanced demand-forecasting analytics but also
align every function to shared organizational goals.
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How can predictive modeling and scenario planning improve supply chain planning?
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Predictive modeling and scenario planning—supported by ZS’s decision studios and digital supply chain frameworks—help companies move from reactive firefighting to anticipatory, adaptive planning that improves both resilience and cost-to-serve.
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How can we optimize our manufacturing performance with smart factory thinking and Industry 5.0?
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ZS's approach to manufacturing transformation blends people, processes and digital intelligence. Both smart factory adoption and Industry 5.0 take people-centered approaches to integrate digital tools, such as advanced analytics, with the human workforce. Examples of our approach to Industry 5.0 include the adoption of digital thread integration, where connected systems enable seamless data flow and agile decisions, and digital twins to simulate and optimize processes and assets.
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How can life sciences supply chain strategy reduce healthcare timelines from drug development to delivery?
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The most impactful ways supply chain leaders can reduce the time to get a medical innovation to a patient is via digital transformation of CMC and tech transfer strategy. AI and digital technologies can facilitate innovation, encourage interdisciplinary collaboration, streamline document authoring, accelerate process validation, automate data analysis and even optimize the process design space.
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