# AI Enhances Supply Chain Agility Amid Increasing Disruptions

> The Maersk North America Customer Forum revealed that AI is critical in bridging the execution gap in supply chains, enabling real-time responses to frequent disruptions. Leaders emphasized the need for actionable insights to turn visibility into effective operational strategies.

**Source**: maersk.com | **Published**: 2026-09-25 | **Type**: article

## Key Facts

- 10 years of disruptions equal previous 50, highlighting urgent need for agile supply chain strategies.
- Companies using AI for planning but not execution risk falling behind competitors in responsiveness.
- Real-time AI applications can reduce manual escalation, improving resilience and operational efficiency.
- Proactive disruption response models can prevent service failures, enhancing customer trust and loyalty.
- Embedding AI in workflows transforms visibility into actionable insights, driving faster decision-making.

## Summary

At the recent Maersk North America Customer Forum, industry leaders emphasized the critical role of artificial intelligence (AI) in enhancing supply chain execution and response to disruptions. As supply chain disruptions become increasingly frequent and unpredictable, the ability to react in real time is essential for maintaining reliability and customer trust. This forum, held in collaboration with MIT’s Center for Transportation & Logistics, highlighted the pressing need for businesses to bridge the gap between planning and execution, particularly in an environment where disruptions have surged in the last decade.

The conversation centered on the "execution gap," which refers to the disparity between strategic planning and operational reality. Despite significant investments in planning systems, many organizations struggle to adapt to real-world variables such as port congestion, capacity constraints, and shifting customer demands. The forum participants noted that disruptions are now the norm rather than the exception, with operational decisions often relying on outdated rules and manual interventions. This reactive approach can lead to inefficient capacity use and inconsistent service levels, underscoring the need for a more proactive and coordinated response.

A pivotal theme was the transition from visibility to actionable intelligence. While organizations have invested heavily in visibility platforms to track shipment statuses, these tools often fall short of providing actionable insights. Leaders at the forum advocated for AI-enabled execution, where data is translated into prioritized actions. Key applications discussed included real-time disruption detection, dynamic rerouting, and automated recovery recommendations. These capabilities enable organizations to manage their supply chains actively, balancing cost, service, and risk in real time.

Coordination across the supply chain network emerged as another significant challenge. Effective disruption response requires collaboration among various stakeholders, including carriers, warehouses, and suppliers, each with different systems and priorities. AI can facilitate this coordination by integrating data across the network and applying consistent decision logic. For instance, a delay in one segment of the supply chain can trigger automatic adjustments in inventory routing and delivery commitments, reducing the need for manual escalation and enhancing overall resilience.

However, the integration of AI into operational workflows presents challenges. Decisions in execution environments are often time-sensitive, necessitating that AI support planners and operators at the moment of decision-making rather than functioning as a separate analytics layer. Successful implementation requires robust data governance, transparency, and a continuous learning process to refine outcomes over time.

For supply chain leaders, the implications are profound. Organizations must shift from reactive issue management to proactive disruption response. This involves developing operating models that can anticipate and prioritize potential issues before they escalate into service failures. Companies need to ensure that real-time data translates into faster decision-making by embedding AI-generated recommendations into daily workflows. Moreover, AI can facilitate network-wide decision-making, allowing organizations to optimize trade-offs across various operational dimensions rather than addressing issues in isolation.

As the industry moves forward, the focus is shifting from mere resilience to agility. The discussions at Maersk’s forum signal a transformative moment for supply chain management, emphasizing the importance of real-time responsiveness and coordinated action. By embedding intelligence into execution processes, organizations can enhance service consistency amidst volatility and better fulfill customer promises. This evolution will not only redefine operational capabilities but also shape competitive dynamics in the supply chain sector, as companies that successfully leverage AI will likely gain a significant advantage in an increasingly complex landscape.

## Entities

- **Companies**: Maersk
- **Technologies**: AI, visibility platforms
- **Organizations**: MIT's Center for Transportation & Logistics

## Key Concepts

execution gap, real-time disruption detection, AI-enabled execution, coordinated response, operational workflows, proactive disruption response, visibility to actionable intelligence, agility in supply chains

## Definitions

- **Execution Gap**: The discrepancy between planned actions and actual outcomes during disruptions in supply chains.
- **AI-enabled execution**: The integration of artificial intelligence into operational processes to enhance decision-making and response during disruptions.
- **Visibility platforms**: Tools that provide real-time tracking of shipment status and exceptions in supply chains.
- **Proactive disruption response**: An approach that anticipates and addresses potential issues before they escalate into significant problems.
- **Agility**: The ability of an organization to respond quickly and effectively to changes and disruptions in the supply chain.

## Use Cases

- Real-time disruption detection and impact assessment
- Dynamic rerouting and capacity allocation
- Prioritization of exceptions based on customer and business impact
- Automated recovery recommendations
- Coordinated response across carriers and suppliers
- Embedding AI into operational workflows

## Frequently Asked Questions

**How can AI improve supply chain execution?**

AI enhances supply chain execution by providing real-time insights and recommendations that help organizations make faster, more informed decisions during disruptions.

**What is the execution gap?**

The execution gap refers to the difference between what is planned and what actually occurs during disruptions, often leading to inefficiencies and service inconsistencies.

**Why is proactive disruption response important?**

Proactive disruption response allows organizations to anticipate potential issues and address them before they escalate, thereby maintaining service reliability and customer trust.

**What role do visibility platforms play in supply chains?**

Visibility platforms track shipment statuses and exceptions, providing organizations with the data needed to make informed decisions, although they often need to be integrated with AI for actionable insights.

**How can organizations achieve agility in their supply chains?**

Organizations can achieve agility by embedding AI into their execution processes, enabling them to respond quickly and effectively to disruptions while maintaining service quality.

## Links

- [Read on Welcome.AI](https://welcome.ai/content/ai-enhances-supply-chain-agility-amid-increasing-disruptions)
- [Original source](https://www.maersk.com/insights/resilience/2026/09/24/ai-in-execution-and-disruption-response)

---

Source: Welcome.AI | https://welcome.ai/content/ai-enhances-supply-chain-agility-amid-increasing-disruptions