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From Static to Dynamic – How AI and Smart Automation Extend WMS Capabilities

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From Static To Dynamic – How Ai And Smart Automation Extend Wms Capabilities

Warehouse managers and executives face constant pressure to meet rising customer expectations while maintaining cost efficiency and operational excellence. While traditional WMS platforms have served as the backbone of warehouse operations for years, their static nature can limit your ability to stay agile and competitive. Let’s explore how these systems can be enhanced by technologies utilizing AI-driven systems and warehouse optimization solutions, whether as new automation or “bolt on” solutions to help extend and optimize the WMS. Overlaying a dynamic layer on top of the WMS can sometimes be the the best and most efficient strategy.

Predefined Rules and Processes – Traditional Warehouse Management Systems (WMS) rely heavily on predefined, rule-based logic to dictate workflows. For instance, fixed slotting strategies assign products to specific locations based on historical data rather than dynamic needs, and hardcoded rules assign specific tasks to workers based on static roles or zones, rather than dynamically allocating tasks based on workload or real-time conditions. While this structured approach ensures consistency and order, it also creates rigidity, leaving the system unable to adapt to unexpected changes or optimize processes dynamically for specific scenarios. In contrast, AI-driven systems bring a new level of flexibility and intelligence to warehouse operations. By analyzing real-time data such as order trends, equipment availability, and associate performance, these systems can dynamically adjust workflows.

For instance, they can reroute pick paths or reprioritize tasks mid-shift based on current conditions, ensuring operations run smoothly despite disruptions. They can also manage order sequencing and task interleaving dynamically, making on-the-fly decisions to maximize throughput and reduce bottlenecks. This adaptive capability allows warehouses to operate with greater efficiency and responsiveness in an ever-changing environment.

Limited Real-Time Adaptability – WMS often struggle to adapt to real-time disruptions or changes due to reliance on manual tasks, static wave picking, rigid prioritization, and inefficient pick paths. For instance, many distribution centers (DCs) face challenges handling rising e-commerce order volumes alongside wholesale orders because their WMS or ERP systems only support wave-based picking.

Warehouse optimization solutions enable DCs to implement waveless picking or dynamic order prioritization, even with legacy systems. Traditional WMS batching relies on simple rules, like FIFO or location overlap, which are limited in efficiency and travel optimization.

AI-driven tools optimize batch assignments by analyzing pick paths, order priorities, inventory, and travel costs in real time. Unlike static processes, these solutions dynamically account for factors like product attributes, location, and urgency to create efficient, cost-effective work batches.

Inflexible Customization – WMS often suffer from inflexible customization, making it difficult for businesses to adapt quickly to changing needs. Customizing these systems typically requires significant IT involvement, extensive coding, and even system downtime, which can disrupt operations and delay critical adjustments. For example, adding a new workflow to accommodate a different order fulfillment strategy or scaling the system to handle increased volume during peak seasons can become a time-consuming and expensive process. This rigidity limits a company’s ability to pivot quickly in response to evolving business demands, such as entering a new market, managing new product lines, or responding to sudden shifts in consumer behavior.

AI-driven systems offer a new level of flexibility and adaptability. Highly configurable, these systems allow businesses to implement changes rapidly without requiring significant downtime or complex coding. For instance, if a warehouse needs to shift from batch picking to wave picking to meet fluctuating order profiles, AI-driven platforms can reconfigure workflows in a matter of hours rather than days. Optimization platforms are specifically designed for flexibility, enabling users to modify automation logic, such as adjusting task priorities or rebalancing labor assignments, with minimal disruption to ongoing operations. This ease of customization not only reduces reliance on IT support but also empowers businesses to remain agile, scalable, and competitive in dynamic markets. For example, a health system in Florida implemented a warehouse optimization solution that supplements their ERP and WMS with more flexible, adaptable workflows, and richer reporting and analytics. In addition, the software had a far lower initial cost and faster implementation time, as well as a larger return on investment.

Static Resource Allocation – Static resource allocation, often seen in traditional warehouse management approaches, relies on historical averages or fixed schedules to assign labor and equipment. While this method provides a baseline for planning, it falls short when faced with the dynamic nature of modern warehouse operations. For instance, during unexpected demand spikes or lulls, fixed schedules can lead to overstaffing, where workers are underutilized, or understaffing, resulting in bottlenecks and delayed orders.

More dynamic systems address these challenges by leveraging real-time data to allocate resources in near real-time based on current demand and operational conditions. For example, if a sudden influx of orders for a specific SKU is detected, workers from slower zones can be reassigned to high-demand areas, ensuring timely fulfillment without overburdening individual associates.

These systems also integrate seamlessly with automation tools like Autonomous Mobile Robots (AMRs) and conveyor systems, orchestrating their usage to maximize resource utilization. By ensuring that both human and automated resources are deployed where they are needed most, it minimizes idle time, reduces operational costs, and improves overall efficiency, even in highly dynamic warehouse environments.

Delayed Insights – Reporting and analytics in static systems are often limited to backward-looking insights, meaning they analyze and present data only after events have occurred. While this can be useful for understanding past performance, it offers little help in addressing immediate challenges or planning for future needs. For example, a traditional system might provide a report showing that certain SKUs experienced stockouts during the previous week, but by the time this data is available, the damage is already done – orders may have been delayed, customers dissatisfied, and revenue lost. Similarly, static systems might reveal that a particular zone was underutilized last month but fail to suggest how to prevent such inefficiencies in the future.

Real-time dashboards in dynamic systems add another layer of capability by providing live visibility into operations. These dashboards can highlight emerging issues, such as a picking zone falling behind schedule or a conveyor experiencing delays, allowing managers to intervene immediately. For example, if the dashboard shows a surge in order volume in one area, leaders can reassign resources, adjust workflows, or prioritize urgent tasks to keep operations running smoothly. Additionally, these systems can pinpoint opportunities for improvement as they happen, such as identifying more efficient pick paths, enabling continuous optimization. Tools like Lucas Systems Speedometer gives voice picking users and DC managers real-time productivity updates and alerts, allowing managers to set individual alert levels to provide real-time feedback to users as to their performance against pre-defined productivity standards.

By shifting from reactive to proactive decision-making, real-time dashboards empower warehouses to maintain efficiency, avoid costly disruptions, and deliver superior service.

Enhancing your traditional WMS with AI-driven technologies and warehouse optimization solutions can provide the flexibility and intelligence needed to adapt to shifting demands and challenges. Whether you’re integrating advanced automation or bolting on dynamic optimization tools, these solutions empower your operation to achieve greater efficiency, accuracy, and scalability without overhauling your entire system. By embracing a more dynamic approach to warehouse management, you can not only meet rising customer expectations but also position your business for long-term resilience and success.

By Andrew Southgate, V.P. of Business Development – EMEA, Lucas Systems

The post From Static to Dynamic – How AI and Smart Automation Extend WMS Capabilities 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.

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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

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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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Rate, Book, & Manage: Real-time rate comparison, instant booking, and easy tracking at every shipment stage.

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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