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  "documentTitle": "Ready for resilience How to navigate the new tariff landscape",
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      "text": "As costs rise and demand stays unpredictable, companies face a tough balancing act: protecting margins without pushing customers away. Indeed, with price sensitivity increasing, companies need to know what costs can realistically be passed on, as well as where value needs to be created or reinforced.\n\nBuilding commercial resilience means acting not just to protect margins, but also to grow intelligently—even in down cycles. And as value pools shift rapidly, companies should ensure their innovation and marketing investments are aligned with emerging areas of opportunity. Success depends on the ability to anticipate changing customer priorities and strategically reallocate resources toward the segments and offerings where future growth and profitability are most likely to reside.\n\nTo support their efforts, companies would do well to deploy enterprise-grade, AI-powered pricing solutions that are both scalable and adaptable across the value chain. These systems integrate real-time data, predictive analytics and machine learning to dynamically adjust prices in response to shifts in input costs, competitive activity and customer-demand signals. AI can also be deployed to enhance visibility into promotional effectiveness, to track evolving customer sentiment and to uncover emerging value pools. When embedded within a broader, data-driven pricing strategy, AI allows organizations to respond with speed and precision—driving measurable impact even in highly volatile conditions.",
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      "text": "As tariffs and supply shocks ripple through global networks, the tradeoff between near-term management and longer-term capital investment is becoming sharper. Companies should therefore rethink how they manage their cost structure, network and logistics, as well as supplier relationships and sourcing strategies, and capital prioritization, in order to maximize profitability, cash flow and return on invested capital. In this environment, operational resilience is about agility and the determined pursuit of productivity gains.\n\nData-driven tools are essential to this effort. Digital twins, for example, can simulate disruptions across supply chains, stress-test scenarios and identify weak links before they turn into major problems. AI can be used to accelerate cost analysis—including cost-models, alternative-sourcing options and make vs. buy choices—and assess tariff impacts in real time. These insights allow supply-chain executives to shift resources proactively and mitigate margin headwinds through smarter operational choices.\n\nBuilding operational resilience also requires rewiring end-to-end value chains for greater competitiveness. The companies that emerge stronger will do more than simply manage through disruption; they'll also reset their cost and productivity baselines by focusing on the capabilities that truly differentiate them. That means doubling down on areas where technology and talent can deliver the greatest strategic impact, while shedding complexity and inefficiency elsewhere.",
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