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Solving Supply Chain Challenges with Data-Driven Intelligence – Practical Steps to Unlock the Value of Supply Chain Data

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Solving Supply Chain Challenges With Data Driven Intelligence – Practical Steps To Unlock The Value Of Supply Chain Data

At InterSystems READY 2025, a recurring message resonated across sessions: the most significant barriers in supply chains today are not futuristic, nor are they rooted in the complexity of AI models. Instead, they lie in the foundational issues of fragmented, inconsistent, and unreliable data.

The session “Solving Supply Chain Challenges with Data, Driven Intelligence” focused on the practical steps organizations must take to unlock the value of supply chain data. The discussion was led by Mark Holmes – Head of Supply Chain Market Strategy, Ming Zhou – Head of Supply Chain Product Strategy and Emily Cohen – Senior Solution Developer. Together, they mapped out the realities of supply chain data challenges and presented approaches that are less about grand visions and more about achievable steps: reconcile the data, automate repetitive work, and then apply intelligence in a way that improves day, to, day performance.

Why Supply Chain Data Remains a Bottleneck

Supply chains have become increasingly digitized, but digitization has not solved the core issue of data fragmentation. Procurement teams often operate with supplier records scattered across multiple ERPs. Logistics departments rely on siloed warehouse management systems. Planning teams pull reports from disconnected forecasting applications.

Mark Holmes pointed out that this patchwork of systems leads to duplicated supplier records, mismatched product identifiers, and time lost reconciling basic facts. These are not rare occurrences but daily realities. The consequence is predictable: planning decisions are made on flawed inputs, delays cascade through the network, and advanced analytics projects fail before they begin.

Ming Zhou added that while many organizations rush toward predictive AI, the truth is that most forecasting models fail because they are built on weak data foundations. Without consistency, even the best model produces unreliable outputs.

Emily Cohen emphasized that this is where organizations need to focus first, not on sophisticated models, but on establishing a baseline of clean, validated, and governed data.

Data Fabric Studio: A Practical Toolset

The centerpiece of the discussion was InterSystems Data Fabric Studio, a platform designed to connect disparate data sources, Snowflake, Kafka, AWS S3, and ERP databases, and transform them into unified, reliable datasets.

Unlike traditional ETL (Extract, Transform, and Load) projects that require months of coding and testing, Data Fabric Studio employs recipes, configurable workflows that clean, reconcile, and standardize data. These recipes automate repeatable processes, ensuring that once supplier records are aligned or product codes are standardized, the consistency holds over time and applied to add data sets across data sources.

Mark Holmes explained that this approach eliminates the cycle of one, off data projects that fall apart as soon as new data flows in. Instead, organizations can lock in data quality improvements and free staff from repetitive, manual reconciliation.

Case Study: Supplier Data Across ERPs

One example shared by Holmes and Cohen involved supplier records managed across two ERP systems. The inconsistencies were predictable but damaging:

One supplier might appear under multiple names.
Different identifiers were used across systems, complicating invoice matching.
Purchase orders could not be reconciled without manual intervention.

By applying Data Fabric Studio, the team:

Mapped suppliers to a single source of truth using identifiers such as DUNS numbers.
Standardized supplier names and records across systems.
Built lookup tables to automatically reconcile discrepancies in the future.
Scheduled daily refreshes so data quality stayed intact.

The result was a cleaner supplier database, faster onboarding, and fewer invoice disputes. What stands out in this example is not the sophistication of the solution but its practicality. The gains came from structured data reconciliation, not from exotic algorithms.

Forecasting Through Structured Snapshots

Zhou shifted the focus to forecasting. His point was simple: forecasts are only as good as the data used to build them. Too often, planners must run ad hoc queries across inconsistent systems, leading to variable inputs and unstable forecasts.

The recommended practice is to create structured data snapshots, capturing consistent baselines such as:

Open purchase orders every Monday morning.
Inventory by location at shift change.
Fulfillment cycle times at the close of each reporting period.

These snapshots provide planners with stable, repeatable inputs. While this may sound basic, the effect is significant: forecasting accuracy improves because the inputs are reliable, and planners spend less time chasing down missing data.

Zhou was clear that this is not advanced predictive AI. Instead, it is the groundwork that enables predictive AI to succeed. Without clean, consistent snapshots, AI models are destined to fail.

AI, Ready Data: From Vector Search to RAG

Cohen emphasized that AI does not fail because of weak models, it fails because of bad data. Large language models, predictive algorithms, and advanced optimization engines all require structured, validated, and governed data. Without it, the insights generated are misleading at best and damaging at worst.

To address this, Data Fabric Studio incorporates tools for vector search and retrieval, augmented generation (RAG). These enable:

Semantic search across suppliers, contracts, or parts databases, allowing staff to locate the right information even when queries are imprecise.
Feeding current and validated data into language models so that natural language queries return fact, based answers.
Allowing non, technical staff to use natural language interfaces that generate SQL queries or summarize trends.

Prescriptive Insights: Non, Traditional Data as Signals

Holmes expanded the conversation by drawing an analogy from the healthcare sector. In a study presented earlier this week, researchers found that analyzing patients’ shopping habits, specifically purchases of over, the, counter medication, could reveal early indicators of ovarian cancer before any clinical diagnosis was made.

This insight is directly applicable to supply chain management: valuable signals may not always be derived from conventional dashboards. Anomalies in supplier invoices, discrepancies in delivery documentation, or shifts in employee communications could help identify emerging risks before they are detected through traditional metrics. Organizations that systematically integrate these non, traditional data sources into their analytics framework are better positioned to identify disruptions at an earlier stage.

A central theme involves prescriptive insights enabled by AI, ready data. For example, to prevent procedure cancellations, such as a heart surgery being postponed due to a missing valve kit component, the application of advanced, AI, driven prescriptive analytics is critical. As demonstrated by Ming in his presentation, predictive tools identified which surgeries were at risk of delay or cancellation due to unavailable inventory. By leveraging AI, enabled insights, the team proactively sourced the missing components from another warehouse, ensuring surgical schedules remained intact. This outcome underscores the importance of not only preparing data for AI but also implementing advanced supply chain optimization through intelligent prescriptive solutions.

Modular Deployment: Start Small, Scale Gradually

A recurring point from Zhou was the importance of modularity. Data Fabric Studio does not require wholesale system replacement. Organizations can begin with a single use case, supplier data reconciliation, for example, and expand gradually to include forecasting snapshots, vector search, or natural language assistants.

This modular approach minimizes risk and allows organizations to demonstrate value incrementally. It also makes it easier to integrate with existing ERP, warehouse management, and planning systems rather than replacing them outright.

Scalability and Infrastructure

Finally, the speakers emphasized scalability. InterSystems IRIS, the engine behind Data Fabric Studio, has already been proven in healthcare environments, where it supports hundreds of millions of real, time transactions.

For supply chains, this track record matters. As data becomes central to operations, the infrastructure must scale without becoming a bottleneck. Inconsistent or unreliable infrastructure undermines even the best data practices.

Key Takeaways

From the READY 2025 session, the roadmap outlined by Holmes, Zhou, and Cohen is clear:

Reconcile and harmonize data across systems. Clean data is the foundation of everything that follows.
Automate repetitive processes. Recipes in Data Fabric Studio reduce manual reconciliation and enforce consistency.
Use structured snapshots for forecasting. Reliable baselines are essential for both planners and predictive AI.
Introduce AI gradually. Take care of data first, and then apply the right AI technology one use case at a time, and grow from there.
Ensure infrastructure scalability. Proven engines like InterSystems IRIS reduce risk as volumes grow.

A Disciplined Order of Operations

The session leaders were clear: digital transformation in supply chains is not about chasing the latest technology. It is about establishing discipline in the order of operations:

Get the data right.
Automate manual tasks.
Scale the infrastructure.
Apply AI only when the groundwork is complete.

This sequence ensures that AI enhances decision, making rather than amplifying bad data.

Intersystems READY 2025 event, and especially the session “Solving Supply Chain Challenges with Data, Driven Intelligence” underscored that the most effective supply chain strategies are practical, not speculative. By focusing first on unifying and governing data, organizations can lay the foundation for automation, forecasting, and AI applications that deliver real value.

The lesson is straightforward but often overlooked: data comes first, intelligence comes later. Supply chains that adopt this discipline will not only resolve today’s data bottlenecks but also position themselves to adapt to the demands of tomorrow’s networks.

The post Solving Supply Chain Challenges with Data-Driven Intelligence – Practical Steps to Unlock the Value of Supply Chain Data appeared first on Logistics Viewpoints.

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Federal Industrial Partnerships and Supply Chain Realignment Under the Trump Administration: Pharmaceuticals, Semiconductors, Critical Minerals, and Energy

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Federal Industrial Partnerships And Supply Chain Realignment Under The Trump Administration: Pharmaceuticals, Semiconductors, Critical Minerals, And Energy

In the months leading up to the 2026 midterm elections, the Trump administration has launched a broad initiative to negotiate agreements with companies across as many as thirty industries. According to reporting from Reuters and other outlets, these deals involve a range of mechanisms, including tariff relief, equity stakes, revenue guarantees, and regulatory adjustments.

The purpose of the initiative, according to administration officials, is to strengthen U.S. national and economic security by encouraging companies to expand production domestically, reduce reliance on China, and ensure the availability of critical products.

For logistics and supply chain leaders, this represents a significant change in the relationship between government and industry. Federal agencies are no longer simply regulators or supporters of infrastructure. They are becoming active participants in corporate strategy, investment, and supply chain design.

Structure of the Deals

The administration’s approach is not uniform. Each agreement varies depending on the sector and company involved. Examples include:

Pharmaceuticals: Eli Lilly was asked to expand insulin production, Pfizer was pressed to increase output of its cancer and cholesterol drugs, and AstraZeneca was encouraged to establish a new U.S. headquarters. In exchange, companies have been offered tariff relief or regulatory flexibility.
Semiconductors: A portion of grants provided under the CHIPS Act has been converted into equity stakes, including a reported 10 percent stake in Intel.
Critical Minerals: The Department of Defense took a 15 percent stake in MP Materials, secured a floor price for future government purchases, and facilitated a $500 million supply agreement between MP Materials and Apple for rare earth magnets.
Energy: The Department of Energy has asked companies such as Lithium Americas for equity stakes in exchange for federal loans supporting domestic mining and battery production.

The unifying theme is the use of federal leverage, such as tariffs, financing programs, or regulatory approvals, to secure commitments from private companies that align with stated national security objectives.

Agencies as Dealmakers

What distinguishes this initiative is the scale of inter-agency involvement. The White House has described the approach as “whole of government.”

The Department of Health and Human Services is leading negotiations in pharmaceuticals.
The Department of Commerce, under Secretary Howard Lutnick, has overseen transactions in steel, semiconductors, and industrial manufacturing.
The Department of Energy is linking financing programs to equity arrangements in energy and mining.
The Pentagon has led negotiations with defense contractors and suppliers of critical minerals.

Senior officials, including White House Chief of Staff Susie Wiles and supply chain coordinator David Copley, are directly involved in negotiations. The presence of Wall Street dealmakers, such as Michael Grimes (formerly of Morgan Stanley) and David Shapiro (formerly of Wachtell, Lipton, Rosen & Katz), illustrates the administration’s transactional orientation.

Financing Mechanisms

The administration is using multiple sources of capital to finance these arrangements:

International Development Finance Corporation (DFC): Originally designed to support development projects abroad, the DFC has proposed expanding its budget authority from $60 billion to $250 billion. If approved by Congress, it would fund projects in infrastructure, energy, and critical supply chains within the U.S.
Investment Accelerator (Commerce Department): Seeded by $550 billion pledged by Japan as part of a bilateral trade agreement, this entity will direct capital into U.S. strategic sectors, serving as a replacement for an earlier proposal to establish a sovereign wealth fund.
Existing Programs: Agencies are repurposing funds from programs such as the CHIPS Act and Department of Energy loan guarantees, often converting grants into equity holdings.

Together, these mechanisms represent one of the largest coordinated federal interventions in U.S. industrial and supply chain development in recent decades.

Implications for Supply Chains

The administration’s policies carry several direct consequences for logistics and supply chain management.

1. Reshoring of Manufacturing

Many of the deals include explicit requirements for expanded U.S. production. This will increase demand for domestic transportation, warehousing, and distribution capacity. It also implies higher utilization of U.S. ports and intermodal corridors, as inputs shift from finished imports to raw materials and intermediate goods requiring processing inside the United States.

2. Critical Minerals and Energy Security

The focus on rare earths, lithium, and other inputs for advanced manufacturing indicates a restructuring of upstream supply chains. Logistics providers should expect increased flows from domestic mining regions, such as Nevada’s Thacker Pass lithium project, to processing and manufacturing centers. This represents a shift away from reliance on Asian supply hubs, particularly China.

3. Government as Stakeholder

Equity stakes and long-term purchase agreements create a different operating environment. Logistics providers serving these industries may find demand more stable due to government-backed contracts. However, these arrangements may also impose compliance requirements and reduce flexibility in adjusting supply networks.

4. Public-Private Coordination

Federal involvement in freight and industrial infrastructure financing could accelerate long-delayed projects. Rail expansion, port upgrades, and domestic warehouse capacity may benefit from this investment. Companies positioned to partner on these projects may see long-term opportunities.

Risks and Concerns

Several risks accompany this shift:

Policy Reversal: Executives have expressed concern that a future administration could unwind or renegotiate these deals. Supply chains built around government-backed agreements may face uncertainty if political priorities shift.
Equity Demands: Some companies are wary of ceding ownership stakes to the federal government. This creates hesitation in sectors where ownership control and investor confidence are sensitive.
Market Distortions: Critics argue that selecting which companies receive government support could disadvantage firms excluded from the arrangements, altering competitive dynamics within industries.
Implementation Capacity: The scale of proposed financing, particularly the expansion of the DFC, requires congressional approval and capable management. Delays or political opposition could slow execution.

Policy-to-Supply-Chain Impact Table

Policy Mechanism
Industry Example
Government Action
Supply Chain Impact

Tariff Relief
Pharmaceuticals (Pfizer, Eli Lilly)
Tariff exemptions in exchange for expanded U.S. production
Increases demand for domestic warehousing, distribution, and cold-chain logistics for added output

Equity Stakes
Intel (10% stake), MP Materials (15% stake)
Federal ownership through converted grants or Defense Production Act
Creates long-term stability in supply flows, but may add compliance requirements for logistics providers

Purchase Guarantees
MP Materials with Apple
Pentagon set floor prices, Apple committed to $500M supply contract
Locks in demand for rare earth shipments, increasing domestic transport flows from mining to manufacturing

Federal Loans Linked to Equity
Lithium Americas (DOE loan, 5–10% stake requested)
Loan support tied to partial government ownership
Supports new mining and battery projects, creating future logistics demand for raw materials and finished batteries

Investment Accelerator Funding
Commerce Department
$550B in financing, partly funded by Japan, allocated to U.S. manufacturing and freight infrastructure
Potential expansion of ports, intermodal rail, and distribution centers, reducing bottlenecks in supply chains

Expanded DFC Financing
Multiple critical industries
Proposed budget growth from $60B to $250B for U.S. supply chains and infrastructure
Large-scale capital for freight corridors, warehouses, and strategic materials, enabling reshoring of production

Case Examples

MP Materials

The rare earth mining company received federal backing through a 15 percent Pentagon stake, floor pricing commitments, and a supply agreement with Apple. This illustrates the administration’s template: equity participation, purchase guarantees, and private-sector co-investment.

Intel

The conversion of CHIPS Act funding into a 10 percent federal equity stake in Intel highlights the new approach to semiconductor supply chain security. By tying financial support to ownership, the government ensures both accountability and a direct role in strategic sectors.

Lithium Americas

A Department of Energy loan of $2.26 billion, paired with negotiations for a 5 to 10 percent federal equity stake, demonstrates how energy supply chains, particularly those tied to electric vehicles and batteries, are being secured through mixed financing and ownership arrangements.

Long-Term Outlook

The administration’s strategy marks a departure from the traditional U.S. model of private-sector–led industrial development. Instead, it resembles coordinated industrial policies pursued in other economies, though with American characteristics.

For supply chain professionals, this means that:

Government will play a larger role in shaping sourcing, production, and distribution decisions.
Access to federal financing and contracts will become a key factor in strategic planning.
Logistics infrastructure may receive substantial investment, creating new opportunities for providers.
Companies must assess political as well as market risks when designing long-term supply chains.

The Trump administration’s pre-midterm industrial deals reflect a significant realignment of government and industry roles in the United States. By leveraging tariffs, financing programs, and direct equity stakes, the federal government is reshaping supply chains across pharmaceuticals, energy, critical minerals, and freight.

The initiative is intended to secure domestic production, reduce reliance on China, and ensure access to strategic inputs. For logistics leaders, the result will be increased reshoring activity, new demand for domestic infrastructure, and closer integration of supply chains with federal priorities.

At the same time, risks remain. The durability of these arrangements depends on political continuity, effective implementation, and the willingness of companies to partner with government under new terms.

In this evolving environment, logistics and supply chain professionals will need to monitor policy developments as closely as they do market trends. Supply chains are no longer shaped solely by efficiency and cost considerations. They are now integral to the nation’s industrial strategy.

The post Federal Industrial Partnerships and Supply Chain Realignment Under the Trump Administration: Pharmaceuticals, Semiconductors, Critical Minerals, and Energy appeared first on Logistics Viewpoints.

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Supply Chain and Logistics News Sept 29 – Oct 2nd 2025

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Supply Chain And Logistics News Sept 29 – Oct 2nd 2025

This week in supply chain news, major companies are demonstrating a mix of strategic adaptations and responses to global pressures. ExxonMobil and Kinaxis are collaborating to develop a next-generation supply chain management solution specifically for the complex oil and gas industry, aiming to increase resilience and provide comprehensive visibility. In a push for network efficiency, FedEx has launched a new direct cargo flight between Dublin, Ireland, and Indianapolis, Indiana, bypassing congested coastal hubs to reduce transit times. The pharmaceutical sector is also focused on resilience, with Eli Lilly and Amgen announcing significant U.S. manufacturing investments to bring critical drug production back to North America. Conversely, General Mills is restructuring its supply chain by closing three manufacturing plants in Missouri as a cost-saving measure in response to changing consumer spending habits. Finally, the U.S. government is imposing new tariffs on imported wood products and furniture, effective October 14, 2025, in a move to address what it identifies as a threat to the domestic industry and supply chain security.

The News of the Week:

ExxonMobil and Kinaxis are Developing a Next-Generation Supply Chain Management Solution for Oil and Gas

The oil and gas industry supply chain is one of the most complex in the world. It involves myriad complex production assets both onshore and offshore, transporting highly volatile products around the globe through pipelines, tank farms, ports, ships, rail, and truck. The end product could be gasoline, petrochemicals, natural gas, hydrogen, or any of hundreds of products from asphalt to motor oil. Disruptions to the oil and gas supply chain can have serious consequences for end users. The industry needs more comprehensive supply chain solutions that increase resilience, provide complete visibility across all aspects of the supply chain, and enable swift responses to business challenges and opportunities. Kinaxis and Exxon are collaborating to digitalize various sectors of Exxon’s business. They aim to leverage Kinaxis’s Maestro software to enhance planning and decision-making processes. Through this collaboration, the two companies aim to share solutions tailored to the oil and gas industry, which currently lacks supply chain management solutions that cater to their specific needs.

FedEx Expands Global Air Network with New Dublin- Indianapolis Route

In an effort to shorten transit times and strengthen its international network, FedEx has launched a new direct cargo flight between Dublin, Ireland, and Indianapolis, Indiana. The new four-day-a-week service bypasses traditional, more congested coastal gateways, which is expected to reduce shipping times by a full day for goods moving between Ireland and the U.S. Midwest. This strategic expansion is a response to the growing trade between the two regions and demonstrates how major carriers are adapting their networks to create more direct and efficient routes to meet evolving customer demands.

Eli Lily and Amgen Announce Massive U.S. Manufacturing Investments

In a major push for domestic drug production, pharmaceutical giants Eli Lilly and Amgen have announced huge investments in new U.S. manufacturing facilities. Eli Lilly is planning a new $6.5 billion factory in Houston, while Amgen is expanding its Puerto Rico plant with a $650 million investment. These moves are a direct response to the global supply chain vulnerabilities exposed in recent years and represent a significant effort to boost the resilience of the U.S. pharmaceutical supply chain. The investments aim to bring critical drug production back to North America, creating jobs and reducing reliance on overseas manufacturing.

General Mills is Closing Three Manufacturing Plants in Missouri

General Mills is closing three manufacturing plants in Missouri—a pizza crust facility in St. Charles and two pet food locations in Joplin—as part of a multiyear supply chain restructuring effort. The company expects to incur $82 million in restructuring charges, including asset write-offs and severance costs. This action is part of a broader trend among food and beverage companies to implement cost-saving measures in response to consumer spending pullbacks. The closures follow previous organizational actions by General Mills, such as job cuts and the closure of its innovation unit, and are intended to improve the company’s competitiveness.

US to Begin Furniture, Wood Import Tariffs on Oct. 14

New tariffs on imported wood products, including furniture, will take effect on October 14, 2025, following a Section 232 national security investigation. The initial duties will be 10% on softwood lumber and 25% on upholstered furniture, kitchen cabinets, and vanities. On January 1, the tariff rates are scheduled to increase to 30% for upholstered furniture and 50% for kitchen cabinets and vanities. The executive order provides for lower tariff caps for imports from specific trading partners, such as the U.K., Japan, and the European Union. These new tariffs are intended to address what the administration has identified as a threat to domestic industry and supply chain security.

Song of the week:

The post Supply Chain and Logistics News Sept 29 – Oct 2nd 2025 appeared first on Logistics Viewpoints.

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Call for Speakers: Ready to Drive Real Change in Intelligent Operations and Resilient Supply Chains – ARC Industry Forum 2025

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Call For Speakers: Ready To Drive Real Change In Intelligent Operations And Resilient Supply Chains – Arc Industry Forum 2025

Call for Speakers – ARC Industry Forum 2025

The ARC Industry Forum is the premier event where operations, supply chain, and technology leaders gather to shape the future of intelligent and resilient enterprises. In 2025, supply chains face unprecedented disruption, but also unmatched opportunity. We are seeking speakers—executives, practitioners, and innovators—who can share strategies, frameworks, and real-world experiences to inspire and guide their peers.

Sample Session Themes

To help illustrate the types of topics we feature, here are a few recent examples:

The New Frontier of Operations and Supply Chain: AI, Resilience, and Intelligence – Exploring how AI, analytics, automation, and connected intelligence converge to deliver agility and resilience.
Building Resilient Supply Chains in the Age of Shifting Geopolitics – Addressing the regulatory, tariff, and policy challenges facing global supply networks.
Unlocking the Power of Knowledge Transfer in Enterprise Systems – Showcasing best practices to fully leverage enterprise and knowledge management systems.

These examples are only a sample of the many tracks available. Additional sessions will cover digital transformation, sustainability, cybersecurity, workforce strategies, and other timely topics.

Submission Guidelines

We invite proposals that highlight real-world case studies, practical lessons, and strategic frameworks. Presentations should be vendor-neutral, educational, and tailored for an audience of senior executives and practitioners.

If you are interested in speaking, please submit:

A proposed session title and abstract (150–250 words)
Key takeaways for attendees
Speaker bio and organizational role

To submit a proposal, or simply for more information, contact us now

The post Call for Speakers: Ready to Drive Real Change in Intelligent Operations and Resilient Supply Chains – ARC Industry Forum 2025 appeared first on Logistics Viewpoints.

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