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How deep data insights help chemical manufacturers solve supply chain vulnerabilities

In a landscape shaped by raw material shortages, logistics bottlenecks, and regulatory volatility, operational agility has become a driver of supply chain resilience. Chemical manufacturers need a clear, connected view across sourcing, operations, and compliance to withstand disruption and drive competitive growth.

Operational agility requires rethinking how information flows across the supply chain to connect fragmented data across functions, generate deep data insights, and detect early signs of disruption. Achieving that level of insight starts with knowing where supply chain vulnerabilities are most likely to emerge and how to solve them before they become costly setbacks.

Three global trends amplifying disruption risk

Shifting regulations, geopolitical tensions, and global supply disruptions have created a complex, multifaceted landscape of risks for chemical supply chains. More than ever, manufacturers must spot and monitor these factors to inform smarter risk-mitigation strategies that safeguard operational continuity.

Which pressure points require immediate action? Here are 3 global trends to keep under your radar.  

  1. Raw material shortages and price volatility
    Geopolitical tensions have reduced the availability of natural gas and other critical resources,
    causing raw material shortages and driving up costs. Combined with rising energy, labor, and transportation costs, these shifts significantly increase production expenses across the industry. Supply chains that rely on limited or region-specific sources face increasing pressure, making sourcing diversification a strategic imperative.
  1. Transportation and logistics disruptions
    From port congestion to trucking shortages, the last decade exposed persistent strain on global logistics networks. These breakdowns often result in customs delays, missed delivery windows, and rising freight costs. In chemical manufacturing, limited visibility across the supply chain makes it even harder to respond to logistics disruptions quickly, putting operations and timelines at risk.
Real-world impact
Akzo Nobel: From missed deadlines to strategic shift
During the COVID-19 pandemic, Akzo Nobel’s U.S. paint and coatings division saw its on-time delivery rate drop below 50%. This highlighted critical gaps in logistics reliability and forced a strategic shift in the company’s supply chain planning strategy.  
  1. Regulatory uncertainty
    Evolving environmental and safety regulations continue to reshape global chemical manufacturing. Navigating shifting requirements across regions is complex and resource-intensive. Without systems to monitor ever-changing guidelines and adapt operations quickly, manufacturers risk falling out of compliance, disrupting production timelines, and damaging their reputation.
Geopolitical instability, shifting regulations, and raw material constraints rarely occur in isolation—they intersect, compound and escalate. In this environment, adapting and responding rapidly are critical to ensuring continuity and positioning supply chains for long-term resilience.

Operational impact: Lessons from industry leaders  

As global pressures continue to challenge chemical supply chains, manufacturing leaders are taking decisive, data-driven action to strengthen resilience, improve performance, and maintain business continuity in a volatile environment.

Industry leader

Bottlenecks

Data-driven initiatives

Impact on supply chain

BASF

- Feedstock dependency, particularly toward Europe.

- Energy shocks and price volatility.

- Used scenario modelling to inform site investment strategy and reduce dependence on high-cost, high-risk regions.

- Leveraged operational and environmental data to optimize energy use, reduce operational footprint, and inform its renewable energy sourcing strategy.

- Strategic shift to lower-risk regions (Zhanjiang Verbund Site) to strengthen upstream feedstock security.

- Increased renewable electricity use by 52% and cut direct and energy-related carbon emissions by over 1 million metric tons in 2023.

Dow

- Limited visibility into freight overcharges and recoveries.

- Implemented AI-powered assistant Microsoft Copilot for invoice analysis and generating insights that inform logistics and cost planning.

- Increased supply chain visibility and identified over $1 million in potential freight cost savings within weeks.

SABIC

- Limited visibility and agility in supply-demand planning across global operations.

- Piloted a Track & Trace visibility solution to monitor shipments in real time and improve responsiveness.

- Launched an AI-powered Sales & Operations Planning (S&OP) initiative to improve planning precision and alignment.

- Increased end-to-end visibility and successfully delivered 32M+ metric tons of products globally.

- Strengthened planning to secure service levels and serve its customers in over 130 countries.

Eastman

- Feedstock dependency and rising regulatory pressure on virgin plastics.

- Lack of end-to-end supply chain visibility in volatile mid-markets.

- Used waste stream analytics and scenario modelling to identify and secure alternative feedstock sources for molecular recycling.

- Implemented an Integrated System Solution (ISS) to enable real-time data exchange and partner collaboration across the supply chain.

- Secured over 80% of feedstock for its $1 billion recycling facility in France, reducing reliance on virgin fossil inputs for improved sourcing resilience.

- Improved agility, forecasting accuracy, and responsiveness to market shifts through integrated digital planning and execution.

The message is clear: Industry leaders stand out by how they collect, structure, and leverage raw information to turn it into deep data insights that drive strategic decisions. How can you extract that level of value from your data and stay ahead of supply chain disruptions?

Five strategic solutions for chemical supply chain resilience  

To address supply chain vulnerabilities effectively, chemical manufacturers need more than raw data. They need structured, evidence-based insights to inform strategies and support decision-making across the value chain. However, critical information is often buried in siloed, disconnected systems, making it difficult to access and use quickly. Here are five steps to help you unlock the full value of your data ecosystem and generate actionable insights.

  1. Centralize information to connect knowledge and data
    A unified knowledge management system enables manufacturers to structure and leverage data across functions, helping them monitor chemical usage, identify substances of concern, and understand risk across the value chain. By integrating physical and chemical properties, safety profiles, and regulatory requirements into a centralized view, manufacturers can gain a comprehensive perspective of their operations to better pinpoint improvement opportunities and act on emerging vulnerabilities faster.
  1. Eliminate silos to connect stakeholders and functions
    When manufacturers, suppliers, and logistics partners operate in disconnected systems, blind spots emerge. This makes it harder to share insights, align priorities, and respond to disruption quickly. Unifying platforms and processes across the supply chain enables stakeholders to share access to critical information, improving coordination and accelerating response while strengthening sourcing performance and compliance.
Disconnected systems lead to blind spots. But even when data is centralized, it must be structured and harmonized to be useful—otherwise, you’re just collecting noise. That’s the difference between raw access and real intelligence, and where the right partner can make all the difference.
  1. Control towers to boost visibility and agility
    Control towers offer end-to-end visibility across the supply chain, but only when supported by a solid data foundation. With structured, curated data, manufacturers can use predictive analytics and scenario modeling to anticipate disruptions and make proactive adjustments. Whether rerouting shipments, shifting sourcing, or modifying production plans, data-enabled control towers help reduce delays and prevent risks from escalating.
  1. Anticipate material shortages to secure alternative sources
    When materials become scarce or regulations shift, manufacturers need data-driven insights to find viable alternative raw materials, precursors, and intermediates that integrate seamlessly into existing processes. Structured scientific and regulatory data helps chemical companies evaluate compatibility and performance to prioritize substitutes that meet or exceed the function and use requirements of incumbent solutions to ensure operational continuity.
  1. Align with suppliers to strengthen forecasting and response
    Collaborative supplier relationships are critical to increasing agility and reducing risk across global supply chains. Sharing high-quality, structured data enables more accurate forecasting and supports joint planning. By training predictive models with enriched data, manufacturers and suppliers can improve coordination, anticipate disruptions, and respond more effectively to market and regulatory shifts.

Drive resilience and secure your supply chain

In today’s volatile global landscape, agility is no longer a competitive edge; it’s a business imperative. The ability to anticipate disruption, adapt quickly, and act decisively depends on having the right data in the right format at the right time. Chemical manufacturers that connect and structure scientific, operational, and regulatory data are better equipped to surface early signals, coordinate across partners and navigate uncertainty with confidence. Deep data insights transform complexity into clarity and provide the foundation needed to build resilient, high-performing supply chains that sustain even the most disruptive global shocks.

Download this white paper to explore how CAS Custom ServicesSM helps organizations turn data into solutions