Western Digital Laguna faces significant natural disaster risks. To address these threats proactively, the team developed a solution that leverages natural language processing (NLP) technology to continuously monitor public data alongside real-time inputs from on-site IoT sensors and workplace activity data. The system predicts the severity of potential crises and recommends optimal response strategies. This approach enhances worker safety through early threat detection and equips management with precise, data-driven safety protocols to minimize operational disruptions during emergencies.USE CASE NLP-enabled natural calamity proactive crisis management: Western Digital Storage Technologies, Laguna, Philippines Today, leading companies are focusing on standardizing and optimizing manufacturing processes, diversifying production networks and product portfolios and increasingly adopting “in-region-for-region” approaches for sales and sourcing. Risk-mitigation strategies also include outsourcing specific activities and reducing a single geographical concentration to avoid disruptions. By 2030, these efforts seem set to expand to encourage supplier network diversification and widespread re- and nearshoring, all of which are supported by advanced analytics, including demand sensing, to enable more accurate and timely customer engagement. Supplier management will extend beyond tier 1 and 2, ensuring greater supply chain visibility. Data sharing between suppliers and customers will become a prime enabler of end-to-end collaboration (Figure 2).3.2 End-to-end collaboration More than 95% of materials at the Bắc Giang site are imported, making material control and production planning a challenge. By using a support vector regression model trained on three years of historical data, demand predictions for existing products have achieved 88% accuracy and are 29% more accurate for new products than traditional forecasts. The integration of enterprise resource planning (ERP), supply chain management (SCM), e-logistics and e-custom systems achieves end-to-end supply chain visibility, alerting users to potential shortages eight weeks in advance and enabling the reallocation of more than 3,000 materials company-wide. The end-to-end supply chain transparency provides the flexibility to respond to urgent or ad-hoc demands, ensuring nearly 100% on-time, in-full (OTIF) while reducing inventory levels.USE CASE End-to-end supply chain optimization: Foxconn Industrial Internet, Bắc Giang, Viet Nam From Shock to Strategy: Building Value Chains for the Next 30 Years 11

From Shock to Strategy 2025