Non classé
The AI-Powered Operating Layer Has Arrived, and Your Supply Chain Is Where It Starts
Published
5 mois agoon
By
A year ago, when people talked about AI in supply chain, they mostly meant chatbots that could answer questions about shipment status or generative models summarizing reports. Useful stuff, but incremental. That’s changed fast.
What’s emerged over the past twelve months is a different class of AI altogether. AI agents can now execute multi-step workflows autonomously, coordinating across systems, making decisions based on real-time data, and acting on those decisions without waiting for a human to click “approve.” They read shipping documents, cross-reference contracted rates, flag discrepancies, and initiate dispute processes. They monitor inbound shipments, detect delays, adjust dock schedules, and notify downstream teams. They do this continuously, across thousands of transactions per week.
I don’t want to belabor the point here. If you’ve been paying attention to reports like the Bain Technology Report or McKinsey’s State of AI survey, you already know the trajectory. The technology is real. The harder question for logistics and supply chain leaders is what it means for how their organizations operate.
The Opportunity: Collapsing Operational Silos
Here’s the argument I want to make plainly: An agentic AI operating layer, built on supply chain data, will collapse the organizational silos that have defined how large shippers run their businesses for decades.
The technology isn’t magic. Supply chain data happens to be the connective tissue between departments that have historically operated as if they had nothing to do with each other.
Finance needs delivery confirmation to trigger early payment discounts. Procurement needs carrier performance data to update scorecards. Customer service needs real-time order status to respond to penalty claims. Production planning needs inbound ETAs to adjust manufacturing schedules. Insurance needs shipment documentation to process claims.
All of these decisions happen in different departments, in different systems, managed by different teams. But they all start with real-time data about shipments, orders, inventory, and deliveries.
For years, the handoffs between “supply chain knows something” and “another department acts on it” have been manual. Someone pulls a report. Someone else verifies it. A third person takes action in a different system. That’s how most companies still operate. And most of the time, it’s a reaction to a disruption rather than proactive alignment across functions.
An AI operating layer changes that equation. When agents can ingest supply chain data in real time, apply business rules, and execute actions across enterprise systems, those manual handoffs disappear. A delayed inbound shipment doesn’t wait for someone to notice it in a report and then email the warehouse. The agent detects the delay, recalculates the dock schedule, and notifies the facility team before anyone opens a spreadsheet.
Supply Chain Data as a Trigger
At FourKites, we’ve deployed AI agents that handle specific operational functions autonomously. One monitors shipments around the clock, investigates delays, and coordinates with carriers. At Coca-Cola, it cut response times for “where’s my truck” queries from 90 minutes to seconds. Another handles supplier collaboration, reading shipping documents and creating tracking records automatically. A third manages customer and vendor scheduling, reducing team workload by half at facilities like US Cold Storage.
But the more interesting development is what happens when you extend beyond traditional logistics workflows. Things like automatically validating freight invoices against contracted rates and actual service levels. Or accelerating payment cycles by identifying early discount opportunities tied to delivery confirmation.
More than “visibility” use cases, these automations extend to finance, procurement, warehouse operations, and customer service. But they all depend on supply chain data as the trigger. This is increasingly how leading shippers are thinking about their technology stack — connecting supply chain platforms directly to ERPs, CRMs, and financial systems so that operational data can trigger action in those systems without manual intervention. Gartner’s 2025 Supply Chain Top 25 highlighted this move toward autonomous, cross-system orchestration as one of the defining characteristics of the highest-performing supply chains globally.
The workflow executes in another function, but the intelligence that drives it originates in the supply chain. That’s what makes supply chain the starting point for an enterprise-wide AI operating layer, not the boundary of it. So the question becomes what it takes to actually stand up an operating layer like this.
What’s Required to Build It
Let me be honest about what it takes, because I think there’s been too much hand-waving in the market about AI transformation.
Start with the data foundation. An operating layer is only as good as the data flowing through it. For shippers, that means having a real-time view of what’s happening across your supply chain network, not a batch-updated dashboard that’s six hours stale. You need live shipment status, carrier performance history, order-level tracking, facility throughput data, and the system integrations to connect it all. If your data is fragmented across disconnected point solutions, the AI has nothing meaningful to work with.
Focus on proven workflows, don’t automate broken ones. This is the hardest part, and it’s where most companies stall. McKinsey’s 2025 State of AI survey found that 88% of organizations now use AI in at least one business function, but only about 6% are capturing meaningful enterprise-wide value from it. The biggest differentiator between those groups is workflow design. For example, a freight invoice audit that currently involves three people touching a spreadsheet could be replaced by an agent that cross-references the contracted rate, validates the service level against tracking data, and flags only genuine discrepancies for human review.
Build for orchestration across systems, not within one system. Here’s where the general-purpose AI platforms fall short. Many of them are good at connecting to your systems and building automations for whatever you throw at them. But they don’t have context from an external network that reveals impacts to your operations. They start with your data alone.
A supply chain operating layer starts with your data plus the operational intelligence from a broader network: which carriers perform well on which lanes, how delays in one region tend to ripple to facilities in another, and what distinguishes a genuine exception from normal variability. That context is what allows agents to act, not just surface alerts.
The Pace of Change
I also want to acknowledge something that too many people are glossing over. This stuff has moved unbelievably fast. The industry has been talking about AI agents for over a year now, but they’ve only become truly viable in production settings in the past few months. The underlying model capabilities, the integration tooling, the orchestration frameworks. All of it has matured at a pace that’s genuinely difficult for any organization to keep up with.
Jason Lemkin at SaaStr recently described what’s happening in enterprise software as a structural budget reallocation. IT spending is growing modestly overall, but AI budgets are absorbing a disproportionate share. Application counts are flat. Seat-based growth is under pressure. Companies aren’t spending more on software. They’re spending differently, and they’re spending on outcomes.
For supply chain automation specifically, you don’t need a multi-year transformation program to get started. The modular architectures that exist today make it possible to deploy production-grade agents in weeks rather than quarters. And platforms like FourKites’ Loft now make it possible to build and configure AI agents around your specific business rules, SOPs, and system integrations — not a one-size-fits-all workflow.
But to get the most ROI, you must first understand the workflows that consume the most manual effort and document the SOPs that govern how your teams handle exceptions, validate data, and communicate across functions. That’s the raw material that AI agents need to operate effectively.
The technology is ready. Whether your organization has done the foundational work to take advantage of it is a different question, and it’s the one worth spending time on.
By Matt Elenjickal, CEO, FourKites
The post The AI-Powered Operating Layer Has Arrived, and Your Supply Chain Is Where It Starts appeared first on Logistics Viewpoints.
You may like
Calculate Your Container Costs Freight Rates
Our free container shipping calculator delivers accurate container rate estimates. Just tell us about your shipment to get an estimate from the world’s largest freight rate database. Then join Freightos to compare, book, and manage your upcoming shipments using our freight rate calculator.
Freightos — The Digital Freight Shipping Platform With a Free Freight Quote Calculator
Compare
and book
Instantly compare air, ocean, and trucking freight quotes from 75+ providers with the perfect balance of price and transit time.
Manage
and track
Refreshingly easy logistics management with milestone tracking and proactive issue resolution from vetted providers you can trust.
Get expert
support
Our Freight Team is available to help with every step of your shipment process, from documentation to delivery specifics.
International Container Shipping Rates
There are many factors that determine the cost of FCL (full container load) container shipping. These factors will impact your shipping container transport cost and ultimately how much it’ll cost to ship a container overseas.
Here are some of the most important ones:
Your Shipping Route
An international container being sent from Shanghai to Los Angeles, for example, is always going to be less costly to ship than one being sent on a less common route.
Size of Your Container
The standard container dimensions are 20 and 40 feet. But there are also other variations, including different sizes and refrigerated units.
Supply and Demand
The global freight industry is dictated by basic economics. During the busiest shipping seasons, container rates go up – sometimes substantially.
Container Rates Today: Shipping Rates Chart and Prices
This data is based on Freightos Terminal.
To protect the underlying data, results here may vary slightly from the actual data points.
You can view live international freight rates, prices, and trends, updated daily from the world’s largest freight rate index on the Freightos Baltic Index (FBX).
Week of December 21st, 2025 Container Shipping Rates and Prices
Ocean Rates – Freightos Baltic Index:
Asia-US West Coast prices (FBX01 Weekly) rose 8% to $2,127/FEU.
Asia-US East Coast prices (FBX03 Weekly) fell 3% to $3,069/FEU.
Asia-N. Europe prices (FBX11 Weekly) rose 11% to $2,707/FEU.
Asia-Mediterranean prices(FBX13 Weekly) rose 15% to $3,850/FEU.
Ocean Freight Rates and Trends:
Transpacific ocean rates continued their Q4 pattern of ups and downs, with Asia–US West Coast prices increasing 8% last week to about $2,100/FEU as carriers increased blanked sailings during a low-demand period.
Despite these fluctuations, carriers have achieved residual gains that have kept transpacific rates above the year lows set in early October.
Asia–US East Coast rates decreased 3% last week, though daily rates this week are up by about $300 to more than $3,350/FEU. Rates may retreat again in the near term, but a more sustained increase is possible as Lunar New Year approaches.
Asia–Europe rates continued to rise, supported by more disciplined capacity management and reports of increasing demand tied to an early start to pre-Lunar New Year orders.
Prices to Northern Europe rose 11% last week to over $2,700/FEU, while Mediterranean rates increased 15% to $3,850/FEU, with daily Mediterranean rates already exceeding $4,000/FEU.
Continued Red Sea diversions are contributing to the early start of pre-Lunar New Year shipping, as shippers seek to avoid longer post-holiday transit delays.
Air Cargo Freight Rates and Trends:
Air cargo demand patterns have shifted following changes to US de minimis rules, with China–US e-commerce air shipments reportedly dropping by up to 50% since the exemption was eliminated for China in May.
Following the elimination of de minimis for all countries, some Chinese e-commerce platforms have redirected their focus toward Europe, where import values have recently doubled.
Overall transpacific air traffic has remained resilient despite lower China–US volumes, supported by growing electronics shipments from Southeast Asia, especially Vietnam, and Taiwan.
China–US airfreight rates have declined from year highs as peak season ends, falling 7% last week to $7.47/kg, with daily rates down to about $6.50/kg.
Southeast Asia–North America air rates are also easing after rising more than 20% since mid-October.
China–Europe air rates are holding around $3.86/kg, well below the $5.00/kg levels seen a year ago, while Southeast Asia–Europe prices are at a year high near $4.15/kg, with daily rates easing.
China – N. America weekly prices fell 7% to $7.47/kg.
China – N. Europe weekly prices rose 6% to $3.71/kg.
N. Europe – N. America weekly prices decreased 1% to $2.51/kg.
This data is based on Freightos Terminal.
To protect the underlying data, results here may vary slightly from the actual data points.
How Much Does It Cost to Ship 20FT and 40FT Containers?
When comparing prices for container shipping and transport, the size of the container will affect the price.
While there are over a dozen different-sized containers, 20-foot (TEU) and 40-foot (FEU) containers are the most frequently used.
20-Foot Container Shipping Costs:
What fits in a TEU will determine the cost of shipping. The cost also depends on the type of goods transported and how efficiently these can be packed and loaded into the container.
The dimensions of a TEU are as follows:
Length: 19.4 ft (5.9 m)
Width: 7.7 ft (2.35 m)
Height: 7.9 ft (2.39 m)
Therefore, the total cubic capacity of a TEU is 1,172 cu ft (33.2 m3) and the payload capacity is 55,126.9 lbs (25,000 kg).
This means that a 20-ft container can generally accommodate 9-10 standard pallets.
40-Foot Container Shipping Costs:
An FEU has double the capacity of a TEU but is not charged at double the price.
If you want to ship a 20-foot container instead of a 40-foot container, it’s worth noting that the latter usually costs just 20-25% more than the former.
These are the dimensions of a FEU:
Length: 39.5 ft (12.03 m)
Width: 7.7 ft (2.35 m)
Height: 7.9 ft (2.39 m)
The total cubic capacity of an FEU is 2,389 cu ft (67.7 m3) and the payload capacity is 61,200 lbs (27,600 kg).
This means you can fit between 20-21 standard pallets in an FEU.
Note that if you’re shipping temperature-sensitive, hazardous, or oversized cargo, you may need a specialized container such as a reefer, open-top, or flat rack.
If you don’t need a full 20′ or 40′ container, you may not need full container load shipping (FCL) and may want to consider less than container load (LCL) shipping. With LCL, you only pay for the space your cargo takes up. One caveat: LCL shipments typically have longer transit times than FCL since they need time for consolidating smaller shipments into a single container.
How Are Container Shipping Prices, Rates & Transport Costs Calculated?
Container shipping rates and prices are determined by the form of the cargo, the mode of transport, the weight of your goods, and the distance and popularity of the delivery destination from the point of origin.
Understanding the total cost of importing or exporting your goods is vital to determining the total landed cost of the goods and what your bottom line will be. Check out the Container Shipping Cost Calculator to help you estimate what it will cost to ship your goods. Once booked, it’s time to see how to track your container.
In addition to base transport costs, shipping quotes often include surcharges such as fuel adjustments (BAF), peak season fees (PSS), terminal handling charges (THC), and currency adjustment factors (CAF). The Freightos Marketplace includes these in your quotes wherever forwarders provide this information, helping you compare more complete pricing.
Your total shipping cost includes components such as pickup from origin, export documentation, origin terminal handling, the ocean leg, import customs, destination terminal handling, and final delivery. On the Freightos Marketplace, you’ll see all of your charges in single quote view, depending on the selected service level and what’s included by the freight provider.
Your costs will also vary depending on the incoterm you choose (e.g. FOB, CIF, DDP), which defines whether the buyer or seller is responsible for each segment of the shipment.
How Much Does It Cost to Ship From China/Central Asia to the United States?
Currently, prices are around $2,100/FEU on the China/Central Asia to North America West Coast route and about $3,350/FEU on the China/Central Asia to North America East Coast route.
Container Shipping Calculator FAQ
Your quote covers all standard transportation costs, but excludes the Freightos Platform Fee (shown at checkout), any disbursement or convenience fees for payment processing, and actual duties and taxes which are calculated at the port of entry.
In order for your goods to clear customs, you’ll need to complete a Power of Attorney form and provide accurate tariff codes and commodity descriptions. Duties and taxes aren’t included in your initial quote because they are calculated at the port of entry. These must be paid before your goods are cleared. If customs flags your shipment for examination, the broker will handle arrangements and pass any additional charges through the platform.
Your freight forwarder must notify you of adjustments and get your approval before proceeding with your shipment.
While Freightos primarily handles general commercial cargo, special shipments may be possible by reaching out to our team for a custom quote.
For special cargo, expect additional handling charges, possible rate adjustments, and requirements for special documentation. You must declare any dangerous materials, and oversized or overweight shipments will need detailed specifications. The platform will notify you if your shipment requires a custom quote instead of an instant quote based on the commodity information you provide.
Your freight forwarder will notify you before storage charges take effect. For shipments with up to 5 paid storage days, charges are added on the platform. Beyond that, the seller invoices you directly off-platform.
The post Free Container Shipping Cost Calculator appeared first on Freightos.
Non classé
Warehouse Automation Is Increasingly Becoming Operational Intelligence: What Symbotic’s Acquisition of ARMS Innovations Signals About the Future of Distribution
Published
7 heures agoon
6 juillet 2026By
Warehouse automation has traditionally been measured by physical performance. Executives evaluated systems based on how many cases could be moved per hour, how quickly orders could be picked, how efficiently labor could be utilized, or how much storage density could be achieved. Robotics, automated storage and retrieval systems (AS/RS), conveyors, and autonomous mobile robots have fundamentally transformed the movement of goods inside modern distribution centers.
Symbotic’s recent acquisition of UK-based ARMS Innovations suggests the industry’s next phase is being defined by a different objective. The focus is shifting beyond automating physical work toward continuously optimizing how an entire warehouse operates.
Announcing the acquisition, Symbotic described the strategic rationale clearly:
“By integrating ARMS’s advanced software capabilities, the Symbotic System will expand beyond industry-leading automation into a comprehensive, real-time operational solution that unifies and optimizes every element of warehouse performance – across both automated systems and human workflows.”
That statement reflects more than the addition of another software product. It signals an evolution in how warehouse automation is being positioned. The competitive advantage is increasingly moving away from individual pieces of equipment and toward software that can coordinate, optimize, and continuously improve the entire operation.
From Warehouse Automation to Warehouse Operations Optimization
Symbotic has established itself as one of the leading providers of AI-enabled warehouse automation, combining robotics, artificial intelligence, software, and high-density storage technologies to automate high-volume distribution operations.
ARMS Innovations adds a complementary capability.
Rather than focusing primarily on controlling individual automation assets, ARMS specializes in operational optimization software that continuously analyzes warehouse performance, identifies bottlenecks, recommends corrective actions, and improves coordination across both automated systems and human workflows.
Symbotic characterized this broader vision with another notable statement:
“With the addition of ARMS, Symbotic is spearheading a new industry category with a greater scope than traditional warehouse management (WMS) or warehouse execution systems (WES): enterprise-level Warehouse Operations Optimization.”
Whether Warehouse Operations Optimization ultimately becomes an accepted market category remains to be seen. However, the underlying trend is difficult to ignore.
Modern warehouses already generate enormous volumes of operational data. Every inventory movement, robot cycle, pallet transfer, labor assignment, equipment alarm, and customer order produces information. Collecting data is no longer the primary challenge. The greater opportunity lies in transforming that information into better operational decisions while work is still occurring.
That is precisely where operational intelligence begins to create value.
Warehouse Automation Is Entering Its Second Generation
The warehouse automation market has matured significantly over the past decade.
Many large distribution organizations have already invested in robotic picking systems, goods-to-person automation, automated storage and retrieval systems, autonomous mobile robots, machine vision, warehouse execution software, and AI-assisted planning tools.
As these technologies become more widely deployed, competitive differentiation is naturally shifting.
The first generation of warehouse automation focused primarily on replacing or augmenting manual labor. Success was measured through labor reduction, throughput improvements, order accuracy, storage density, and equipment utilization.
The emerging generation focuses on something different.
Instead of asking, “How can we automate this task?” organizations are increasingly asking, “How can we optimize the entire operation in real time?”
That distinction is significant.
Many highly automated facilities continue to struggle with congestion, inventory imbalances, replenishment delays, equipment bottlenecks, labor allocation challenges, and fluctuating throughput. These problems often reflect coordination issues rather than insufficient automation.
Adding more robots does not necessarily solve those problems.
Improving how existing assets work together often does.
Software Is Becoming a Primary Source of Competitive Differentiation
For years, warehouse automation providers competed primarily through hardware innovation. Faster robots, denser storage systems, greater reliability, higher throughput, and improved mechanical performance largely defined market leadership.
Those capabilities remain important.
However, as warehouse automation hardware becomes increasingly mature, software is emerging as a primary source of competitive differentiation.
Warehouse optimization platforms, digital twins, artificial intelligence, predictive analytics, machine vision, workflow orchestration, and decision-support systems increasingly determine how effectively automation investments perform after deployment.
The competitive battleground is moving upward—from machines that execute work toward software that continuously optimizes how work should be executed.
Symbotic’s acquisition reflects that broader shift.
The Industry Is Moving in the Same Direction
Although Symbotic’s acquisition has attracted significant attention, it reflects a wider industry trend rather than an isolated strategy.
AutoStore continues expanding beyond automated storage by investing in software capabilities designed to improve robot utilization, throughput, and overall system performance.
Dematic increasingly emphasizes warehouse execution software, analytics, labor coordination, simulation, and operational visibility alongside its automation portfolio.
Swisslog continues integrating warehouse software that coordinates increasingly sophisticated automation environments rather than treating automation equipment as standalone systems.
Zebra Technologies has similarly expanded well beyond barcode scanning. Its portfolio now includes machine vision, RFID, AI-enabled data capture, workforce mobility, and operational visibility solutions that bring intelligence directly to frontline warehouse operations.
Ocado’s automated grocery fulfillment operations provide another illustration of this trend. Its competitive advantage comes not simply from robotics, but from sophisticated software that coordinates thousands of automated activities simultaneously.
Each company approaches the market differently.
Nevertheless, the strategic direction is remarkably consistent.
Competitive advantage is increasingly being created through software intelligence rather than hardware performance alone.
Artificial Intelligence Is Moving from Prediction to Orchestration
Artificial intelligence has already demonstrated considerable value in demand forecasting, inventory planning, transportation optimization, and predictive maintenance.
The next major opportunity appears to lie inside warehouse operations themselves.
Rather than simply predicting what may happen, AI-enabled warehouse platforms are increasingly being designed to help determine what should happen next.
Future warehouse systems are likely to play a growing role in inventory positioning, task prioritization, robotic fleet coordination, labor balancing, congestion management, replenishment timing, and workflow optimization.
This represents a gradual shift from automation toward greater operational autonomy.
The warehouse becomes more than an automated facility.
It becomes a continuously learning operational system capable of adapting as business conditions change throughout the day.
What Supply Chain Leaders Should Be Evaluating
For supply chain executives, this evolution changes how automation investments should be assessed.
Traditional evaluation criteria—including throughput, storage density, labor savings, equipment utilization, and implementation cost—remain essential.
However, they are becoming only part of the picture.
Leaders should increasingly ask broader operational questions:
How effectively can the platform optimize warehouse operations across people, automation, and inventory?
How quickly can it adapt to changing order profiles, labor availability, and customer demand?
Can it identify operational bottlenecks before they significantly affect throughput?
Does the platform improve continuously after implementation?
How effectively does it coordinate human workflows alongside automated equipment?
Can it support operational decisions rather than simply execute predefined rules?
These questions extend beyond warehouse automation.
They address operational intelligence.
Looking Ahead
Symbotic’s acquisition of ARMS Innovations deserves attention not simply because another automation company acquired another software company.
The transaction illustrates how warehouse automation is evolving.
The industry’s first wave focused on automating physical work.
The next wave is increasingly focused on optimizing how automated systems, software, inventory, equipment, and people operate together.
Whether “Warehouse Operations Optimization” ultimately becomes a widely adopted category remains uncertain. What appears far more certain is that operational intelligence will play an increasingly important role in the future of warehouse management.
For supply chain leaders, the implication is becoming clearer.
The organizations that realize the greatest long-term value may not be those with the largest number of robots or the most automation. They are likely to be those that combine automation with software capable of continuously improving operational performance across the entire distribution environment.
The post Warehouse Automation Is Increasingly Becoming Operational Intelligence: What Symbotic’s Acquisition of ARMS Innovations Signals About the Future of Distribution appeared first on Logistics Viewpoints.
How to Estimate Amazon Freight Rates
Calculating potential Amazon FBA freight costs? This Amazon FBA shipping calculator returns shipping estimates from the supplier address, or nearest port, shipping directly to Amazon fulfillment centers. This tool is perfect for freight forwarders. Not shipping to an Amazon warehouse? Use our general freight rate calculator. Check estimated transit times with our freight transit time calculator. Find a list of Amazon FBA Fulfillment Centers with this map of Amazon FBA warehouse locations.
Select whether you are shipping full containers or boxes/pallets.
Enter your load dimensions, weight, quantities, origin, and Amazon fulfillment center.
Search!
About the Amazon FBA Shipping Calculator
Use this Amazon FBA Calculator, specially designed for Amazon FBA shipments, to calculate shipping costs from your supplier’s factory to an Amazon fulfillment center location. Amazon has strict requirements regarding international shipments and Freightos has built these requirements into its quoting process.
Unlike any other freight rate estimator, Freightos’ freight rate calculator and Amazon FBA calculator use real freight data to calculate instant, all-in freight quotes, including surcharges and freight costs. This calculation takes into account dimensional weight. Our data is based on live freight rates from dozens of global freight forwarders, helping us provide you with accurate, real-time quotes.
What’s Included in the Amazon FBA Shipping Calculator
The Amazon Shipping Calculator includes all fees and surcharges available for trucking, air and ocean shipping. It does not include customs duties associated with specific commodities. Since this estimator is unique in that it relies on live data from real freight companies, it may not have global coverage for every route you search.
If you’re looking for fully binding quotes that you can book online, check out the Freightos Marketplace.
The post FBA Calculator: Amazon Shipping Calculator appeared first on Freightos.
Free Container Shipping Cost Calculator
Warehouse Automation Is Increasingly Becoming Operational Intelligence: What Symbotic’s Acquisition of ARMS Innovations Signals About the Future of Distribution
FBA Calculator: Amazon Shipping Calculator
Why Sulfuric Acid Is Emerging as a Supply Chain Constraint in Copper
Walmart and the New Supply Chain Reality: AI, Automation, and Resilience
Container rates starting to spike on peak season rush – June 2, 2026 Update
Trending
-
Non classé3 mois agoWhy Sulfuric Acid Is Emerging as a Supply Chain Constraint in Copper
-
Non classé1 an agoWalmart and the New Supply Chain Reality: AI, Automation, and Resilience
- Non classé1 mois ago
Container rates starting to spike on peak season rush – June 2, 2026 Update
- Non classé11 mois ago
13 Books Logistics And Supply Chain Experts Need To Read
- Non classé9 mois ago
Ex-Asia ocean rates climb on GRIs, despite slowing demand – October 22, 2025 Update
- Non classé5 mois ago
Container Shipping Overcapacity & Rate Outlook 2026
- Non classé5 mois ago
Ocean rates ease as LNY begins; US port call fees again? – February 17, 2026 Update
-
Non classé1 an agoAmazon and the Shift to AI-Driven Supply Chain Planning