Beyond supply chain visibility: why organizations still struggle to respond effectively to disruption

Manufacturing Supply Chain AI

Manufacturing supply chains face constant disruption. Yet, traditional supply chain visibility rarely reveals the full impact on production, inventory, and customers due to fragmented data. Supply Chain Intelligence bridges this gap. Powered by data and AI and advanced analytics, it connects data across the supply chain. This enables you to quickly assess dependencies, understand business impact, and enable faster, more informed decisions that improve efficiency and strengthen resilience.

Understanding disruption is the real challenge
Visibility alone doesn’t drive decisions
Connected data changes decisions
Making data usable is where it breaks down
Creating visibility across global manufacturing operations
Where organizations need to focus now
Fujitsu Limited: visualizing risk across multi-tier supply networks
Lowe’s Innovation Labs: optimizing inventory flow and operational efficiency
Better decisions shape more resilient supply chains
Next steps

Manufacturing supply chains are no longer operating in stable conditions.

The model of “buy anywhere, ship anywhere, sell anywhere” is breaking down as tariffs reshape cost structures, critical materials become harder to secure, and geopolitical disruption creates structural breaks across global supply networks. Organizations are also facing growing pressure to reduce waste, improve resilience and make better use of constrained resources while supply, demand and geopolitical conditions continue to shift. At the same time, organizations are managing sustainability, compliance and customer responsiveness pressures across increasingly complex operations.

According to IDC, 29% of supply chain leaders are prioritizing cost reduction and efficiency, while 25% are focused on improving supply chain resilience. Organizations are also targeting product compliance, quality and safety (20%), alongside modernizing IT infrastructure (19%).

Explore the full IDC InfoBrief

These priorities are critical, but many organizations still lack a clear understanding of how disruption will affect operations, suppliers and customer commitments across the wider supply chain. Lead times are less predictable, supply networks are more concentrated, and disruption can affect multiple parts of the value chain at once.

As a result, organizations are being forced to make decisions earlier and under greater uncertainty. They often lack a clear view of downstream business impact, including cost exposure from duties, transport and labour, as well as procurement risk, inventory decisions and customer commitments.

Understanding disruption is the real challenge

Disruption is not new in manufacturing supply chains. What has changed is how often it occurs, how widely its impact is felt, and how difficult it has become to respond with confidence.

Most organizations have visibility into direct suppliers or internal operations. But upstream dependencies, where disruption often begins, remain difficult to see. This includes indirect dependencies across materials, spare parts and upstream components that may appear disconnected, but can quickly become critical when supply conditions shift.

Planning, procurement, production and logistics also operate with different views of the supply chain, shaped by separate systems, data and assumptions.

As a result, supply chains often appear stable until they fail, with risk building in areas that are not fully understood. Data exists, but it is rarely connected in a way that reflects how the supply chain actually behaves under pressure.

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Visibility alone doesn’t drive decisions

Tracking where something is, whether a shipment, component or supplier order, can provide reassurance, but it rarely explains what that means for the rest of the supply chain. A delayed component, for example, does not show which production lines are exposed, how inventory will shift across locations, or whether alternative supply can be secured in time.

Many organizations stall at this point. They can see disruption as it unfolds, but turning that visibility into action remains difficult, particularly when decisions depend on understanding how impact will move across the wider network.

Dynamic Supply Chain Intelligence becomes critical here. By combining connected data, AI-driven analysis, operational insight and scenario modelling, it creates a more complete and predictive view of supply chain risk.

By bringing together visibility, operational data and decision-making across the full value chain, Fujitsu helps organizations assess dependencies, understand downstream business impact and evaluate response options before disruption escalates. With that level of insight, teams can simulate how disruption could move through the supply chain, identify options such as available stock or alternative suppliers, and make faster, more informed decisions while conditions are still changing.

Visibility shows what is happening. Intelligence shows what to do next.
Most supply chains can track disruption. Far fewer can assess impact and act in time.

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Connected data changes decisions

Supply Chain Intelligence connects data across suppliers, production, logistics and demand to reflect how the supply chain actually operates. It brings together internal operational data with external signals, including weather patterns, geopolitical developments and supplier risk indicators, allowing organizations to move beyond tracking disruption and start understanding its wider business impact.

This becomes particularly important in indirect supply chains, where disruption often originates several tiers beyond direct suppliers. A shortage of machinery spare parts, specialist materials or critical upstream components can quickly affect production elsewhere in the network, even when the immediate supplier appears stable. The difficulty is knowing which dependencies sit on the critical path at any given moment, and how quickly action needs to be taken.

With connected intelligence across the supply chain, Fujitsu helps organizations assess which production lines are exposed, how inventory will be affected across locations, and whether reallocation or alternative supply is possible within the required timeframe. They can model disruption scenarios, evaluate operational and financial trade-offs and make decisions based on operational impact rather than assumption.

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Making data usable is where it breaks down

Understanding how disruption affects production, inventory, procurement, cost and customer commitments depends on usable data. Yet in most supply chains, that data is fragmented across multiple systems.

It is spread across platforms, sites and operating units. Inventory may be structured differently by location, and often supplier information may be incomplete. Key inputs may still sit in spreadsheets or require manual updates.

AI and advanced analytics help by connecting and structuring operational, procurement and financial data across functions. In practice, they make it possible to work from a more consistent view of the supply chain and understand how changes in one area affect the rest.

Organizations do not need perfect data to begin. What matters is making existing data usable enough to support decisions. Fujitsu works with manufacturers to connect fragmented operational, procurement and financial data, helping model downstream business impact and support faster decision-making under disruption.

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Creating visibility across global manufacturing operations

Challenge:

A global manufacturer needed to integrate vast volumes of product and departmental data held in different formats across more than 3,000 domestic and international sites
Fragmented data flows made it difficult to gain company-wide visibility across inventory, procurement and operations
Limited visibility slowed decision-making and made it harder to maintain business continuity during disruption

Solution:

Fujitsu helped integrate fragmented data across the organization using AI-driven AutoML and data intelligence capabilities, creating a clearer view of inventory, procurement and operational impact across the supply chain.
The solution used five years of sales data to build 300 predictive models, improving demand forecasting and procurement visibility
This created a more connected view of inventory and operations, supporting faster, more informed decisions during disruption

Impact:

More than 200,000 inventory parts identified and visualized within two weeks
Accurate inventory visibility supported faster decision-making and improved supply chain efficiency across the organization
Improved ability to maintain production and respond effectively to disruption, including natural disasters
Transparent and highly manageable operations, driving annual savings of over €10 million

Further insight

Watch how this manufacturer improved supply chain visibility across 200,000+ inventory parts

Better visibility and Supply Chain Intelligence also help organizations operate more efficiently across the wider business. More accurate inventory positioning can reduce excess stock and release working capital. Faster, more informed decisions improve reliability and reduce operational waste and with a clearer understanding of demand, supply and risk, organizations can focus resources more effectively while maintaining service and production levels under pressure.

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Where organizations need to focus now

Manufacturers are already investing in resilience, operational efficiency and supply chain visibility. The next step is ensuring those investments translate into clearer priorities, faster decision-making and measurable business impact.

That requires a clearer understanding of how disruption moves through the supply chain, where dependencies exist, and which decisions will have the greatest operational impact.

At this stage, Supply Chain Intelligence becomes a way to focus action across planning, procurement, production and logistics. Historical data alone provides a rear-facing view of supply chain performance. Rather than relying on past performance alone, organizations need to combine real-time and predictive signals with operational data, external risk signals, AI-driven analysis and scenario modelling. Fujitsu enables organizations to better understand how disruption will affect production, inventory, suppliers and customer commitments before issues escalate. This makes it possible to evaluate trade-offs, assess alternative responses and make faster, more informed operational decisions under changing conditions.

It also enables organizations to operate more precisely under pressure by improving inventory positioning, reducing excess stock, and making better use of constrained supply across the network.

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Fujitsu Limited: visualizing risk across multi-tier supply networks

Challenge:

Increasingly severe and frequent natural disasters were making supply chain disruption harder to assess and respond to quickly
Assessing supply chain damage could take between three weeks and one month, delaying response and contingency planning
It was difficult to capture the full damage picture across primary, secondary and tertiary suppliers
Delays in obtaining information on overseas disasters made global supply chain risk harder to manage

Solution:

Fujitsu implemented its Supply Chain Risk Visualization service to provide a clearer view of supplier plants and disruption risks
The solution mapped supplier plant locations alongside disaster information, helping teams assess potential impact more quickly
Automated disaster notifications were introduced for registered suppliers, supporting faster awareness and response

Impact:

Significant reduction in initial response time
Improved visibility of potential risks at manufacturing sites, supporting faster contingency planning
Easier identification of overseas disasters through an integrated Supply Network Strategy (SNS) feature
Stronger ability to understand supply chain disruption impact and respond before issues escalate

Download the full case study

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Lowe’s Innovation Labs: optimizing inventory flow and operational efficiency

Challenge:

Lowe’s Innovation Labs needed to improve inventory flow across a large logistics network of distribution and cross-dock centers
Thousands of Stock Keeping Units (SKUs,) changing demand and unpredictable operational peaks created bottlenecks that were difficult to manage at scale

Solution:

Lowe’s Innovation Labs worked with Fujitsu on an AI-driven optimization proof of value
The solution combined machine learning and advanced optimization to smooth inventory flows and improve resource use across the logistics network

Impact:

30% reduction in peak inventory arrivals during proof-of-concept testing
10% efficiency gains from proof-of-concept testing
Better product availability on shelves, fewer out-of-stock situations and more reliable delivery times for customers

Download the full case study

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Better decisions shape more resilient supply chains

With 90 years of manufacturing experience, Fujitsu helps organizations combine AI, operational data and supply chain expertise to create clearer visibility of business impact, strengthen resilience and support faster, more informed decision-making during disruption.

Many organizations begin with a specific operational challenge, product line or site before scaling intelligence across the wider supply chain.

The organizations responding most effectively to disruption are not necessarily those with the most data. They are the ones best able to understand operational impact, align decisions across the business, and act before disruption affects production, delivery or customer commitments.

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Next steps

Download the Supply Chain Managers Info Snapshot to explore with IDC the key tech investment priorities, how Data and AI improve KPIs across supply chain and challenges and solutions for leaders in supply chain management.

Use Fujitsu’s Digital and Smart Factory Assessment tools to assess supply chain visibility, resilience and operational decision making capabilities.

The assessment includes 5 dedicated supply chain focused questions to help identify priorities and next steps for transformation:

EU Digital Factory Self-Assessment Tool:

https://mkt-europe.global.fujitsu.com/digital-factory-self-assessment-tool

US Smart Factory Self-Assessment Tool:

https://mkt-americas.global.fujitsu.com/smart-factory-self-assessment-tool