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All Case Studies

manufacturing

How Novartis Leveraged Real-Time AI for Supply Chain Resilience

Novartis

Proactive

Risk Mitigation

Transitioned from reactive firefighting to proactive, automated risk monitoring across the global supplier network.

Centralized

Data Integration

Unification of siloed data streams from manufacturing facilities and third-party vendors into a single source of truth.

Real-time

Operational Insight

Achieved immediate visibility into supply chain bottlenecks, significantly reducing the time to identify and resolve potential disruptions.

// SUMMARY

Novartis, a global pharmaceutical leader, recognized the need to transform its supply chain operations to better navigate complex, global dependencies. By implementing an AI-driven digital platform, the company gained real-time visibility into internal and external risk factors. This strategic deployment enabled the pharmaceutical giant to move from reactive crisis management to proactive risk mitigation, significantly improving patient access to critical medications.

// THE CHALLENGE

The company faced significant hurdles in managing a complex, global network of manufacturing sites and suppliers. Traditional planning methods struggled to identify and mitigate disruptions, leading to potential inventory shortages and threats to patient drug availability.

// THE SOLUTION

Novartis deployed a centralized digital control tower powered by AI and machine learning to unify disparate data sources across the entire supply network. This platform provides continuous, real-time insights into potential disruptions, enabling planners to run predictive models and execute swift mitigation strategies.