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Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows

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Unlocking Supply Chain Potential With Ai Agents And Multi Agent Workflows

Colin Masson, ARC Advisory Groups expert on Industrial AI.

The industrial sector—particularly supply chain management, is facing unprecedented complexity. Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. While Generative AI (GenAI) has shown promise, its limitations in planning, workflow automation, and dynamic adaptation necessitate a more sophisticated approach. In my December 2024 recap of The AI Wars: Battlefronts, Breakthroughs, and the New Era of the Industrial AI (R)Evolution, I predicted that AI Agents, and their collaborative multi-agent systems, are emerging as a transformative force in 2025, providing a more robust solution by orchestrating complex tasks, integrating with real-time data sources, and continuously learning to enhance many Industrial AI use cases. Let’s delve into the core concepts of AI Agents and multi-agent workflows, their relevance to what ARC Advisory Group calls Industrial AI, and their potential to revolutionize supply chain management.

Understanding AI Agents

At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal. Unlike standalone Large Language Models (LLMs) which rely on static knowledge, and which lack the ability to plan or integrate with external systems, AI Agents can:

Plan and Execute Multi-Step Workflows: AI Agents can create and execute complex, multi-step plans to achieve a user’s goal, adjusting actions based on real-time feedback, moving beyond the limitations of typical language models.

Retain and Utilize Memory: They utilize short-term and long-term memory to learn from user interactions and provide personalized responses, with the ability to share memory across multiple agents in a system to improve consistency.

Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g., data extractors, search APIs) to perform tasks, enabling them to dynamically adjust to new information and real-time knowledge sources.

Validate and Improve Outputs: They can leverage task-specific capabilities, knowledge, and memory to validate and improve their outputs and those of other agents in a system, increasing accuracy and reliability.

Multi-Agent Systems: Collaboration and Orchestration

Multi-agent AI systems involve multiple AI Agents working together to achieve a common goal. Typically, these systems consist of standard-task agents (e.g., user interface and data management agents) collaborating with specialized-skill and tool agents (e.g., data extractors or image interpreters). This architecture enables:

Complex Workflow Orchestration: Multi-agent systems can orchestrate complex workflows in minutes, significantly reducing the time and resources required for complex tasks.

Enhanced Productivity: By working collaboratively, agents can plan and execute complex workflows based on a single prompt, significantly improving productivity.

Improved Accuracy: Validator agents can interact with creator agents to test and improve output quality and reliability.

New Levels of Machine-Powered Intelligence: When agents specializing in specific tasks work together, new levels of machine-powered intelligence are made possible.

Explainable Outputs: Multi-agent AI systems enhance the ability to explain AI outputs by showcasing how agents communicate and reason together, providing more transparency.

These multi-agent systems often employ hierarchical structures, where higher-level agents supervise and direct lower-level agents, ensuring alignment with overall objectives, which is particularly effective in large-scale settings like warehouse operations.

Why AI Agents are Essential for Industrial AI

The industrial sector requires more than just general-purpose AI. It demands solutions that understand the nuances of industrial processes, data, and workflows. AI Agents, particularly within multi-agent frameworks, are better suited to address the specific needs of Industrial AI because they:

Address the Limitations of Traditional Systems: Many older systems in supply chain management are rule-based and modular, making it difficult to integrate with the real-time data processing and autonomous decision-making capabilities of agentic AI architectures. Agents provide the needed flexibility and adaptability.

Align with Industrial-Grade Data Fabrics: AI Agents can leverage Industrial-grade Data Fabrics (IDFs) to access and process diverse data types, enabling a holistic view of operations and improving decision-making. IDFs are essential for managing the complex data environments in industrial settings.

Utilize Appropriate AI Techniques: Industrial AI requires applying the right AI technique to each task and skill needed. This can be achieved through a multi-agent system with specialized agents, each utilizing appropriate AI techniques.

Enhance Human Capabilities: AI Agents are not designed to replace human expertise, but rather to augment it. They can handle routine tasks, freeing up human professionals to focus on more complex and strategic issues.

Improve Data Quality: AI Agents improve data quality, enabling access to real-time information, enhancing decision-making capabilities in supply chain operations. Real-time data processing and analysis are crucial for identifying and resolving supply chain disruptions.

Supply Chain Use Cases for AI Agents and Multi-Agent Orchestration

AI Agents and multi-agent systems offer a wide range of applications within the supply chain. Here are some specific use cases:

Demand Forecasting AI Agents can analyze historical sales data, market trends, and real-time demand signals to predict future demand accurately.

Inventory Management AI Agents can track stock levels in real-time and compare them with demand forecasts, optimizing inventory levels and preventing overstock or stockouts.

Multi-agent systems can dynamically adjust production and distribution plans to meet customer needs while minimizing waste and improving efficiency.

Logistics Optimization AI Agents can analyze transportation networks, weather patterns, and other variables to optimize routes and reduce costs.

Real-Time Shipment Tracking Agents can provide updates on shipment status, helping businesses and customers plan accordingly.

Multi-Modal AI Agents can coordinate across different modes of transportation to ensure timely delivery.

Warehouse Automation Agents: AI-powered robots can perform tasks like sorting, picking, and packing, significantly speeding up operations.

AI Agents can allocate resources dynamically—e.g., during peak hours, optimizing warehouse operations.

Multi-agent systems can monitor inventory levels and trigger restocking or adjust shelf space allocation.

Customer Support AI Agents can handle customer inquiries about order status, delivery fees, and delivery times through real-time communication.

Customer Support AI Agents can also resolve issues and compile relevant information before transferring a customer to a human agent, improving efficiency and customer satisfaction.

Compliance Management AI agents can monitor sensitive data to ensure compliance with privacy and other regulations.

Multi-agent systems can also coordinate across different departments and stakeholders to ensure adherence to all applicable regulations.

Supply Chain Vendors Have a Head Start

Supply chain software vendors are uniquely positioned to take advantage of AI Agent technology because:

Existing Knowledge Graphs: Many vendors have already invested heavily in building comprehensive and contextualized knowledge graphs that connect various data points in the supply chain. This deep knowledge base provides AI Agents with the necessary context to reason and make informed decisions.

Domain Expertise: Supply chain vendors possess a deep understanding of the complexities of supply chain processes, which is essential for building effective AI Agents.

Established Ecosystems: These vendors have established relationships with industrial organizations and have the ability to seamlessly integrate AI Agents into existing platforms.

Platform and Data Integration: Many supply chain vendors are already developing Industrial Data Fabrics, which provide the crucial data management framework needed for AI Agents to succeed.

By leveraging these existing advantages, supply chain vendors can accelerate the adoption of AI Agents, delivering greater value to their customers and solidifying their position as leaders in the Industrial AI (R)evolution.

Takeaways

AI Agents and multi-agent workflows represent a significant leap forward in the evolution of supply chain management. These technologies enable a more proactive, adaptive, and efficient approach to managing supply chain operations. By moving beyond the limitations of traditional systems and embracing AI Agents, industrial organizations can navigate complexity, enhance productivity, and gain a competitive edge. Supply chain vendors, with their domain expertise and established ecosystems, are poised to drive this transformation, making AI Agents a key driver of innovation and success in the years to come. It is not about replacing humans, but instead augmenting their capabilities and freeing up their time for tasks that require uniquely human expertise and innovation.

Next Steps

Given the potential of AI Agents, organizations should begin by:

Prioritizing and redesigning workflows to maximize value from AI.

Developing in-house expertise with Industrial AI Centers of Excellence.

Investing in data quality and Industrial-grade Data Fabrics to provide the foundation for AI Agent success.

Exploring partnerships with technology providers that are leading the charge on AI Agents.

Begin experimenting with task specific agents to understand the specific benefits and how to scale them across the organization.

The post Unlocking Supply Chain Potential with AI Agents and Multi-Agent Workflows appeared first on Logistics Viewpoints.

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What a Return to the Red Sea Could Mean for the Container Market

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What a Return to the Red Sea Could Mean for the Container Market

November 26, 2025

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As the fragile but still-in-place Israel-Hamas ceasefire nears the two-month mark, and with the Houthis declaring an end to attacks on passing vessels, there is more and more anticipation that the long-awaited return of container traffic to the Red Sea may be coming soon.

Though Maersk maintains it has not set a date, the Suez Canal Authority stated that Maersk will resume transits in early December. ZIM’s CEO recently stated that a return in the near future is increasingly likely, and CMA CGM is reportedly preparing for a full return in December.

Operational Impact

The shift of most of the 30% of global container volumes that normally transit the Suez Canal away from the Red Sea and around the Cape of Good Hope almost exactly two years ago added seven to ten days and thousands of nautical miles to Asia – Europe journeys and to some Asia – N. America sailings as well.

The return of container traffic to the shorter Suez route will result in the sudden early arrival of these ships, which will mean significant vessel bunching and congestion at already persistently congested European hubs. This congestion will cause delays and absorb capacity which could push container rates up on the affected lanes, and possibly beyond.

The shift back through the Suez Canal may initially keep some of the typically lower volume ports in Europe that have become transhipment centers during the Red Sea crisis, like Barcelona, busy while carriers may omit port calls at some of the congested major hubs. But after the unwind, these ports, as well as African ports that have been used as refuelling stops during the last two years, will see port calls decline.

Carriers have plans for a gradual phase in of the transition back to the Red Sea, with smaller vessels starting to transit first. This approach would still cause vessel bunching, but would be aimed at minimizing the impact of the reset as much as possible.

But some carriers are skeptical that an orderly phase-in will happen, as they expect pressure from customers who will want a return to the shorter route as quickly as possible. Analysis from Sea Intelligence suggests that the more gradual the transition, the less disruptive it will be, while the faster the return the more disruptive it will be during the up to two months it will take for schedules to return to normal.

Ocean expert Lars Jensen also notes that a return during the lead up to Lunar New Year would coincide with an increase in demand, and would put more pressure on ports and rates than if the transition takes place post-LNY when demand is typically weak. With carriers signalling the shift will begin in December and pre-LNY demand probably picking up in mid-January next year, it seems likely the two will coincide.

Implications for Capacity – and Rates

Red Sea diversions were estimated to have absorbed about 9% of global container capacity by keeping ships at sea for longer and – with longer journeys meaning vessels would arrive back at origins days behind schedule – via carriers adding extra vessels to services in order to maintain planned weekly departures.

This drain on capacity caused Asia – Europe rates to more than triple and transpacific rates to more than double in the two months from the time the diversions began to just before Lunar New Year of 2024. And though rates moved up and down along with seasonal changes in demand, the capacity drain pushed East-West rates up to 2024 highs of $8,000 – $10,000/FEU and set a highly elevated floor of $3,000 – $5,000/FEU during low demand periods that year.

But even with Red Sea diversions continuing to absorb capacity in 2025, continued fleet growth through newly built vessels entering the market has meant that the container trade has already become significantly oversupplied.

As such, rates on these lanes – even before the capacity absorbed by diversions has re-entered the market – have consistently been significantly lower than in 2024 even during months when volumes have been stronger, with prices on some lanes reaching 2023 levels for a span in early October. Recent carrier struggles maintaining transpacific GRIs point to this challenge already.

Even with Red Sea diversions continuing and even during months in 2025 with stronger year on year volumes, capacity growth has meant rates in 2025 have been lower than in 2024.

Yes, the initial congestion and delays caused by the transition back to the Suez Canal will at first put upward pressure on rates for Asia-Europe containers and probably to a lesser degree on the transatlantic lanes as well. If the congestion ties up enough capacity or impacts operations at Far East origins, the rate impact could spread to the transpacific as well. As noted above, if the return coincides with the lead-up to LNY, it will have a stronger impact on rates as there will be pressure from the demand side as well.

But once the congestion unwinds and container flows and schedules stabilize the shift will ultimately release more than two million TEU of container capacity back into the market. This surge will put even more downward pressure on rates and increase the challenge of effectively managing capacity for carriers seeking to keep vessels full and rates profitable in 2026.

Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

Put the Data in Data-Backed Decision Making

Freightos Terminal helps tens of thousands of freight pros stay informed across all their ports and lanes

The post What a Return to the Red Sea Could Mean for the Container Market appeared first on Freightos.

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Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update

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Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update

Discover Freightos Enterprise

November 25, 2025

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Weekly highlights

Ocean rates – Freightos Baltic Index

Asia-US West Coast prices (FBX01 Weekly) decreased 32% to $1,903/FEU.

Asia-US East Coast prices (FBX03 Weekly) decreased 8% to $3,443/FEU.

Asia-N. Europe prices (FBX11 Weekly) decreased 1% to $2,457/FEU.

Asia-Mediterranean prices (FBX13 Weekly) increased 6% to $2,998/FEU.

Air rates – Freightos Air index

China – N. America weekly prices decreased 2% to $6.50/kg.

China – N. Europe weekly prices decreased 1% to $3.97/kg.

N. Europe – N. America weekly prices increased 1% to $2.33/kg.

Analysis

Despite higher tariffs since early this year, US retail sales have proved resilient and are expected to grow through the holiday season. The solidifying tariff landscape is nonetheless facing destabilizing forces like recent China-Japan tensions, and the US Supreme Court’s pending decision on the legality of Trump’s IEEPA-based tariffs.

But the White House is signalling it is already taking steps to ensure that a SCOTUS loss will not open a low tariff window. So, if consumer spending remains strong, and the status quo of the trade war holds up, the US could enter a restocking cycle in 2026 as frontloaded inventories wind down. This restocking could mean stronger freight demand than some have anticipated for next year.

On the freight supply side though, there is more and more discussion of container traffic’s coming return to the Red Sea as the fragile Israel-Hamas ceasefire remains in effect. And while most carriers are not offering a timeline, ZIM’s CEO recently stated that a return in the near future is increasingly likely.

The shift of most of the 30% of global container volumes that normally transit the Suez Canal away from the Red Sea and around the Cape of Good Hope almost exactly two years ago added seven to ten days and thousands of miles to Asia – Europe journeys and to some Asia – N. America sailings as well.

The return of container traffic to the shorter Suez route will result in the sudden early arrival of these ships, which will mean significant vessel bunching and congestion at already persistently congested European hubs. This congestion will cause delays and absorb capacity which could push container rates up on the affected lanes, and possibly beyond.

Carriers have plans for a gradual phase in of the transition back to the Red Sea, with smaller vessels starting to transit first. This approach would still cause vessel bunching, but would be aimed at minimizing the impact of the reset as much as possible.

But some carriers are skeptical that an orderly phase-in will happen, as they expect pressure from customers who will want a return to the shorter route as quickly as possible. Analysis from Sea Intelligence suggests that the more gradual the transition, the less disruptive it will be, while the faster it is the more disruptive it will be, and the more pressure it will put on freight rates during the up to two months it will take for schedules to return to normal.

Ocean expert Lars Jensen also notes that a return during the lead up to Lunar New Year would coincide with an increase in demand, and would put more pressure on ports and rates than if the transition takes place post-LNY when demand is typically weak.

The capacity absorbed through Red Sea diversions pushed East-West rates up to highs of $8,000 – $10,000/FEU in 2024 and set a highly elevated floor of $3,000 – $5,000/FEU during low demand periods that year. But even with Red Sea diversions still in place this year, rates on these lanes have consistently been significantly lower than last year, with prices on some lanes reaching 2023 levels for a span in early October.

The transition back to the Suez Canal – be it more or less chaotic – will ultimately release more than two million TEU of container capacity back into the market. This surge will put even more downward pressure on rates and increase the challenge of effectively managing capacity for carriers seeking to keep vessels full and rates profitable.

The current overcapacity on the East-West lanes is the main reason that carriers’ November transpacific GRIs which had pushed West Coast rates up by $1,000/FEU this month to about $3,000/FEU have now fizzled.

Asia – N. America West Coast prices fell 32% last week to $1,900/FEU with daily rates this week down another $100 so far, but prices remain above the $1,400/FEU low for the year hit in early October. Last week’s vessel fire at the Port of LA does not seem to have had an impact on prices as operations have quickly recovered. Rates to the East Coast fell 8% to $3,400/FEU last week but are at $3,000/FEU so far this week, about even with levels in early October before these set of GRI introductions.

Meanwhile, October and November’s GRIs on Asia-Europe lanes have stuck, with rates to Europe and the Mediterranean both 40% higher than in early October at $2,500/FEU and $3,000/FEU respectively. These rate gains may be surviving on aggressive blanked sailings on these lanes.

Carriers are planning additional GRIs for December aiming for the $3k-$4k/FEU level as they continue to reduce capacity – with an announced labor strike in Belgium likely to help absorb some supply – but there are signs that these increases may not take.

In air cargo, peak season demand is driving rates up and should keep doing so for the next couple weeks. Freightos Air Index data show ex-China rates remaining strong at about $6.50/kg to N. America and $4.00/kg to Europe last week. Demand out of S. East Asia has grown significantly during this year’s trade war, with rates also elevated on these lanes at $5.40/kg to the US and $3.50/kg to Europe.

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Judah Levine

Head of Research, Freightos Group

Judah is an experienced market research manager, using data-driven analytics to deliver market-based insights. Judah produces the Freightos Group’s FBX Weekly Freight Update and other research on what’s happening in the industry from shipper behaviors to the latest in logistics technology and digitization.

Put the Data in Data-Backed Decision Making

Freightos Terminal helps tens of thousands of freight pros stay informed across all their ports and lanes

The post Transpac ocean rates fizzle; Red Sea return coming soon? – November 25, 2025 Update appeared first on Freightos.

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How AI Is Driving the Future of Industrial Operations and the Supply Chain

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How Ai Is Driving The Future Of Industrial Operations And The Supply Chain

ARC Industry Leadership Forum • Orlando, Florida
February 9–12, 2026 • Renaissance Orlando at SeaWorld

Artificial intelligence is reshaping how industrial organizations run their operations and supply chains. The shift is real. The early experiments are gone. Today, companies are redesigning their planning, logistics, reliability, sourcing, and production workflows around systems that can think, react, and coordinate.

At ARC Advisory Group, we’re seeing this change accelerate every quarter. AI is moving from a standalone project to the connective tissue between operational systems. It’s improving how energy is consumed, how materials flow, how assets behave, and how teams respond to uncertainty.

This February, leaders from across the world will gather in Orlando to break down where AI is creating value and what comes next.

Event Details
Renaissance Orlando at SeaWorld
6677 Sea Harbor Drive, Orlando, FL 32821
February 9–12, 2026
Event link: https://www.arcweb.com/events/arc-industry-leadership-forum-orlando

More than 200 colleagues are already registered, including Conrad Hanf and a broad mix of executives, operations leaders, and technologists.

Why AI Matters Right Now

AI gives industrial organizations three capabilities they’ve never had before.

Real-time awareness.
Factories, yards, pipelines, fleets, and distribution nodes are producing enormous amounts of data. AI helps cut through that noise. It identifies what matters, when it matters, and why. The result is faster decisions and fewer surprises.

Coordination across functions.
Production affects logistics. Maintenance affects throughput. Sourcing affects lead time. AI lets these domains share context and act together instead of waiting for a meeting or a spreadsheet adjustment. Decisions that once took a day now happen instantly.

Pattern recognition at scale.
AI sees the earliest signals of asset degradation, demand shifts, port delays, or supply risk. It doesn’t wait for a problem to become a crisis. It alerts teams early and recommends actions with enough lead time to matter.

What Leaders Are Focusing On

Across our research and briefings, the same themes keep rising to the surface.

AI-driven maintenance and reliability.
Predictive models are becoming the default. They diagnose root causes, calculate the impact of failure, and help schedule work when it makes operational sense.

Modern planning and scheduling.
Forecasts now incorporate external signals, real-time plant conditions, and multi-site interactions. Planners are starting to work with continuously updated recommendations instead of static plans.

Autonomous supply chain operations.
AI agents are beginning to negotiate with carriers, re-route shipments, rebalance inventory, and adjust sourcing strategies. This isn’t sci-fi. It’s quietly happening in live networks.

Graph intelligence.
Industrial networks are connected by thousands of relationships. Knowledge-graph models help organizations understand those connections and trace how one event cascades across an entire operation.

Data discipline.
AI’s performance depends on clean, harmonized data across ERP, MES, historians, WMS, TMS, and supplier systems. Many companies are now tackling this foundational work head-on.

Human and AI collaboration.
The most successful organizations aren’t automating people out. They’re giving operators, planners, and engineers AI tools that amplify experience and judgment.

Why Attend the ARC Industry Leadership Forum

The Forum is where these shifts come together. Attendees will see:

• Real-world case studies from global manufacturers, logistics leaders, and utilities
• Demonstrations of AI-enabled control towers and reliability platforms
• Deep-dive sessions on agent-based systems, context management, RAG assistants, and graph reasoning
• Roundtable conversations with peers facing the same operational pressures
• Practical discussions on governance, cybersecurity, workforce roles, and measurable ROI

This event is built for leaders who want clarity, validation, and a realistic roadmap for scaling AI across the industrial value chain.

A Turning Point for Industrial Operations

AI is changing the fundamentals of how materials move, how assets perform, how demand is met, and how decisions get made. The organizations that learn to use this intelligence well will operate with more resilience, more predictability, and less friction.

The ARC Industry Leadership Forum is the best place to understand what this looks like in practice and how to prepare your organization for it.

Join Us in Orlando

If your role touches operations, supply chain, engineering, logistics, maintenance, or industrial strategy, this gathering will be well worth your time.

Reserve your seat:
https://www.arcweb.com/events/arc-industry-leadership-forum-orlando

We hope to see you there.

The post How AI Is Driving the Future of Industrial Operations and the Supply Chain appeared first on Logistics Viewpoints.

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