Connect with us

Non classé

No More Black Swans: The Age of Supply Chain Uncertainty

Published

on

No More Black Swans: The Age of Supply Chain Uncertainty

Freightos Enterprise unifies market intelligence, tender management, and shipment operations into one solution, enhancing logistics efficiency for large import-export businesses.

Ian Arroyo

April 29, 2025

Blog

As Freightos’ Chief Strategy Officer, I’ve had the privilege of witnessing firsthand how the logistics industry has transformed since COVID-19 disrupted supply chains worldwide. What’s become increasingly clear is that there are no more black swans in global logistics. Everything should be expected and planned for.

Disruptions have become the norm, rather than the exception, and the only organizations that can thrive in this new reality are those with the right tools.

Simplify, Synchronize, Succeed

Gain consolidated visibility into rates, capacity, and market shifts.

The Inspiration Behind Freightos Enterprise

A little over a year ago, my team and I embarked on an extensive listening tour, sitting down with nearly one hundred enterprise shippers and BCO senior executives from the supply chain and logistics sectors. These weren’t casual conversations – they were deep dives into the real challenges keeping supply chain leaders awake at night.

One consistent theme emerged from these discussions: the need to move away from disconnected logistics technology silos toward a much more connected ecosystem.

The fragmentation of data and processes was creating blind spots, inefficiencies, and ultimately, vulnerability to disruption.

Enterprise shippers are moving quickly towards a fully integrated ecosystem to ensure their supply chains are resilient and comprehensive by consolidating tools and ensuring integration instead of silos of tech. They need to make decisions in real-time or near real-time, as the environment around them rapidly evolves. The days of quarterly reviews and annual procurement cycles are giving way to a much more dynamic, responsive approach to supply chain management.

“Having everything connected – from market intelligence to tender procurement to actual bookings – transforms how shippers operate. Now, teams can focus on strategy, instead of chasing information across multiple systems and endless email chains, saving time and money, and getting goods on shelves with less overhead and more reliability.”

Paolo Galli, VP Group Logistics Operations at Electrolux.

This insight wasn’t merely theoretical.

The Red Sea crisis demonstrated how quickly shipping routes can be compromised, forcing immediate rerouting decisions. Our data showed that over 90% of enterprise shippers had to reroute shipments during this period, with an average cost increase of 35% per container.

Evolving geopolitical challenges between major economies have shown how a single policy change can dramatically alter the economics of established supply chains.

When a single tweet can change tariffs on global trading partners, or when conflict in the Middle East impacts shipping lanes, logistics teams need comprehensive visibility and control, not in weeks or days, but in hours.

The Problem with Fragmented Solutions

The logistics technology space is undeniably crowded.

Since COVID-19, we’ve seen enormous investment in this sector, with numerous specialized solutions emerging. Many of these tools are excellent at solving specific problems – whether it’s procurement automation, rate management, or market intelligence. However, this specialization has created its own challenges.

In our conversations with enterprise logistics and supply chain leaders, we consistently heard about the friction created by managing multiple systems that don’t communicate effectively with each other. One Fortune 100 retailer described maintaining seven different logistics platforms, each requiring separate logins, data management, and training. The inefficiency was staggering, but more concerning was the inability to make holistic decisions when critical information was scattered across disconnected systems.

Our analysis of enterprise logistics operations revealed that teams using manual processes spend an average of 22 hours per week on data entry and validation tasks. That’s over 1,100 hours annually that could be redirected to strategic initiatives. More concerning, we found that manual processes have an average error rate of 4-6%, which may seem small until you consider the impact on a $50M+ freight spend.

Our approach with Freightos Enterprise is fundamentally different. The core differentiator when you’re thinking about a crowded logistics technology market is that we’re not focusing on providing just one niche solution or silo. We’re talking about solving for the entirety of the procurement lifecycle – from strategic sourcing through execution and analysis.

The Data Advantage in a Volatile World

When I talk with supply chain leaders, I often pose this question: If you didn’t have real-time data in an environment changing hour-by-hour, how could you possibly make decisions that ensure your supply chain remains intact?

The reality is that most enterprises are making critical logistics decisions based on outdated or incomplete information. Rate sheets become obsolete almost as soon as they’re negotiated.

Rate sheets become obsolete almost as soon as they’re negotiated. Market conditions change faster than traditional reporting cycles can capture, and the complexity of global supply chains means that important signals are often lost in the noise.

At Freightos, we’ve invested heavily in providing near real-time or real-time data to our customers. Our global network of carriers, forwarders, and shippers generates millions of data points daily, creating an unparalleled view of the logistics marketplace.

The Freightos Baltic Index (FBX) has become the industry standard for container freight rate tracking, providing transparency in a historically opaque market. Similarly, our Freightos Air Index (FAX) offers the same level of insight for air cargo rates.

For example, when recent tariff wars began, one Fortune 500 company we work with immediately needed to evaluate its total cost of ownership across different regions. By taking real-time market intelligence data from our Terminal module, as fresh as an hour ago, they were able to map out what would happen to their total cost of ownership for each origin and destination within days.

This visibility allowed them to start making real-time adjustments with their LSPs, shifting volume between origins to minimize the impact of new tariffs. Within weeks, they had reconfigured their supply chain to reduce the tariff impact by over 40%, saving millions while maintaining service levels to their customers.

Another global retailer used our platform during the Red Sea crisis to identify alternative routing options and secure capacity ahead of competitors. While others were scrambling to respond, they had already secured the capacity they needed at rates 15-20% below what the market would soon bear. Our data showed that spot rates on Asia-Europe routes increased by over 70% during this period, but our customers who acted quickly based on Terminal insights secured capacity at just 25-30% above pre-crisis levels.

Moving Beyond Excel-Based Workflows

Our research shows that 73% of enterprise organizations still rely on Excel spreadsheets to manage procurement and booking workflows. I get it – Excel is remarkable in many ways and practically runs the world. But it simply cannot provide the flexibility, resilience, and accuracy that today’s environment demands.

I’ve seen logistics teams spend countless hours manually updating spreadsheets, only to find their data is already outdated by the time they finish. When rates are changing daily and capacity is fluctuating, this approach is simply unsustainable. The manual nature of spreadsheet-based processes also introduces a significant risk of errors – a misplaced decimal or incorrect formula can lead to costly mistakes.

Freightos Enterprise standardizes these workflows while ensuring that existing processes aren’t broken. We understand that change management is challenging, especially in large organizations with established ways of working. Our approach is to digitize and enhance your existing processes, not force you to adopt an entirely new methodology.

We eliminate data delays and inaccuracies, enabling logistics teams to focus on strategic decision-making and relationship management, where human expertise truly shines.

Unify, Automate, Thrive

Automate tendering, benchmark rates instantly, and book freight in one solution.

The Future of Integrated Logistics

As I look ahead, integration will become increasingly crucial. The future belongs to connected platforms that can bring together disparate data sources and processes into a coherent whole. This isn’t just about technology integration – but about enabling better collaboration between different teams within your organization and with your external partners.

Our strategic focus at Freightos is providing greater effectiveness in integrating not only our platform with enterprises’ current processes, but also making it easier for an enterprise to integrate our solutions across their tech ecosystem. This ensures that visibility isn’t siloed but available organization-wide.

We’ve invested heavily in API capabilities, pre-built connectors for major ERP and TMS systems, and flexible data exchange options to ensure that Freightos Enterprise can work seamlessly withyour existing technology landscape. We’re also exploring advanced applications of AI and machine learning to help identify patterns and opportunities that might otherwise go unnoticed.

The goal isn’t just to provide better tools for logistics professionals, but to elevate the strategic importance of logistics within the enterprise. When you can demonstrate the impact of logistics decisions on overall business performance with clear, data-driven insights, you transform logistics from a cost center to a strategic advantage.

A Holistic Industry Approach

Freightos is dedicated to providing a holistic solution that fosters seamless collaboration across shippers, forwarders, and carriers. Our ecosystem approach offers insights into the logistics value chain, enabling us to tailor solutions to immediate needs and promote partner collaboration.

The Freightos platform connects over 10,000 forwarder offices worldwide and integrates with 100+ leading carriers, creating the world’s largest digital freight network. This reach provides unparalleled connectivity and visibility across the global logistics landscape.

This approach is vital as the industry continues its digital evolution. By connecting all stakeholders on WebCargo, 7LFreight, and now Freightos Enterprise, we’re ensuring that the entire logistics ecosystem has access to accurate, high-resolution, low-latency data for better decision-making in an unpredictable world.

The challenges you face as a supply chain and logistics professional are real and growing more complex by the day. According to our recent survey of enterprise logistics leaders, 78% report that market volatility has significantly increased in the past 24 months, while 82% say they lack confidence in their ability to respond quickly to major disruptions.

We built Freightos Enterprise because we believe you deserve better than disconnected systems and outdated data. You deserve a solution that brings everything together, giving you the power to navigate today’s challenges and tomorrow’s uncertainties with confidence.

As you evaluate your logistics technology strategy, consider not just the capabilities of individual tools but also how they work together to create a coherent, end-to-end solution. The future belongs to integrated platforms that eliminate friction, enhance visibility, and enable faster, better decisions.

Freightos Enterprise represents our vision for that future – a comprehensive solution that addresses the entire procurement lifecycle, from strategic sourcing through execution and analysis. We’re committed to continuing our investment in this platform, expanding its capabilities, and ensuring it remains at the forefront of logistics innovation.

The world of global logistics will continue to evolve, bringing new challenges and opportunities. With Freightos Enterprise, you’ll be equipped not just to respond to these changes but to anticipate them and turn them to your advantage.

The current uncertainty surrounding the trade war is likewise spurring demand for visibility and speed – this time around, tariff exposure and alternative sourcing options. The companies that thrive will be those that can quickly assess their exposure, model different scenarios, and execute changes to their logistics networks with confidence and precision.

Shaping Global Supply Chains Through 2026 and Beyond

As we look to 2026 and beyond, I believe we’ll see even greater convergence between logistics technology and broader supply chain management. The artificial boundaries between procurement, operations, and intelligence will continue to dissolve, creating truly integrated platforms that provide end-to-end visibility and control.

At Freightos, we’re committed to leading this transformation. Our vision is to create a world where global trade is as simple, transparent, and efficient as possible – where logistics professionals have the tools they need to navigate complexity with confidence and where enterprises can turn their supply chains into competitive advantages.

I invite you to join us on this journey. Whether you’re struggling with the limitations of your current systems, looking to gain better visibility into your logistics operations, or seeking to transform your approach to procurement, Freightos Enterprise offers a comprehensive solution designed for the challenges of today and tomorrow.

The future of logistics is integrated, data-driven, and responsive. With Freightos Enterprise, that future is here today.

Freight forwarders and enterprise shippers looking to learn more about Freightos Enterprise click here for additional information or book a demo here.

The Modern Tech Stack for Enterprise Shippers

Leverage real-time insights and streamlined workflows for end-to-end freight success.

Ian Arroyo

Chief Strategy Officer, Freightos Group

Ian is a passionate entrepreneur, strategy geek, and people builder. He’s proven go-to-market and growth leadership across industries.

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 No More Black Swans: The Age of Supply Chain Uncertainty appeared first on Freightos.

Continue Reading

Non classé

Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution

Published

on

By

Walmart Ai Pricing Patents Signal Shift Toward Real Time Retail Execution

Walmart’s new patents and digital shelf rollout point to a more tightly integrated model linking demand forecasting, pricing, and store-level execution.

Walmart has secured two patents related to automated pricing and demand forecasting, drawing attention to how large retailers are evolving their pricing and execution capabilities.

One patent, System and Method for Dynamically Updating Prices on an E-Commerce Platform, covers a system that can dynamically update online prices based on changing market conditions. A second, Walmart Pricing and Demand Forecasting Patent Classification, relates to demand forecasting technology designed to estimate what customers will buy and recommend pricing accordingly. At the same time, Walmart is expanding digital shelf labels across its U.S. stores, replacing paper labels with centrally managed electronic displays.

Individually, none of these elements are new. Retailers have long used forecasting models, pricing tools, and store execution processes. What is notable is the combination.

Walmart now has three capabilities aligned:

Demand forecasting tied to predictive models

Price recommendation based on that demand

Store-level infrastructure capable of rapid execution

That combination reduces the operational friction historically associated with pricing in physical retail.

Pricing Moves Closer to Execution

Traditional store pricing changes required coordination across multiple steps: analysis, approval, printing, distribution, and manual shelf updates. That process introduced delay and inconsistency.

Digital shelf labels materially change that constraint. Prices can be updated centrally and executed across stores with significantly less manual intervention.

This does not change the underlying logic of pricing decisions. Retailers have always adjusted prices based on demand, competition, and margin targets. What changes is the speed and consistency of execution.

As a result, pricing moves closer to real-time operational control.

Implications for Supply Chain Operations

Pricing is not an isolated commercial function. It directly influences demand patterns, inventory flow, replenishment timing, and markdown activity.

When pricing becomes faster and more responsive, those linkages tighten.

Three implications are clear:

1. Increased Execution Speed
Retailers can align pricing decisions more quickly with current demand conditions, reducing lag between signal and action.

2. Stronger Dependence on Forecast Accuracy
When pricing recommendations are driven by predictive models, the quality of demand sensing becomes more consequential. Forecast errors can propagate more quickly into sales and inventory outcomes.

3. Closer Coupling of Merchandising and Supply Chain
Pricing decisions influence demand. Demand impacts inventory, replenishment, and store execution. Faster pricing cycles compress the distance between these functions.

Centralization and Control

Walmart has positioned its digital shelf label rollout as an efficiency and accuracy initiative. Centralized price management improves consistency between systems and store execution while reducing labor tied to manual updates.

That positioning aligns with the operational realities of large-scale retail. At Walmart’s footprint, even small improvements in execution efficiency translate into material cost and accuracy gains.

At the same time, the shift toward algorithm-supported pricing introduces standard enterprise control requirements. Organizations need clear governance around how pricing recommendations are generated, reviewed, and executed, particularly as systems become more automated.

A Broader Technology Pattern

Walmart’s patents are best understood as part of a broader shift in supply chain and retail technology.

AI and advanced analytics are moving closer to operational decision points. Forecasting models are no longer confined to planning environments; they are increasingly connected to systems that can act.

In this case, that connection spans:

Demand sensing

Price recommendation

Store-level execution

The result is a more tightly integrated operating model in which commercial decisions and supply chain execution are linked through software.

What This Signals

The significance of Walmart’s move is not tied to public debate over surge pricing scenarios. The underlying development is structural.

Retailers now have the ability to connect demand forecasting, pricing logic, and execution infrastructure into a faster decision loop.

For supply chain leaders, that represents a clear direction:

Execution is becoming more digital, more centralized, and more tightly coupled to predictive models.

The companies that benefit will be those that can align forecasting, pricing, and operational execution within a controlled, coordinated system.

The post Walmart AI Pricing Patents Signal Shift Toward Real-Time Retail Execution appeared first on Logistics Viewpoints.

Continue Reading

Non classé

Supply Chain and Logistics News March 16th-19th 2026

Published

on

By

Supply Chain And Logistics News March 16th 19th 2026

This week’s installment of Supply Chain and Logistics news includes stories about record increases in oil prices, Rivian’s autonomous taxis, and much more. Firstly, the Trump administration has issued a 60-day waiver of the Jones Act, a century-old regulation that requires goods moved between US ports to be transported by US-built vessels, etc. Additionally, this week Uber & Rivian announced a partnership for Rivian to build 50,000 autonomous robotaxis by 2031 with over a billion dollars in investment from Uber. Schneider Electric and EcoVadis announced a partnership to target emissions in the health care sector. Lastly, DHL announces 10 warehousing sites to be used for data center manufacturing capacity, and Mind Robotics raises 100 million in series A funding.

Your Biggest Stories in Supply Chain and Logistics here:

Trump Administration Issues Pause on Century-old Maritime Law to Ease Oil Prices

The Trump administration has issued a 60-day waiver of the Jones Act. This century-old regulation typically requires goods moved between US ports to be carried on vessels that are US-built, US-owned, and US-crewed. However, with oil prices surging toward $100 a barrel due to escalating conflict in the Middle East, the suspension aims to ease logistics for vital commodities like oil, natural gas, and fertilizer. While the move is intended to lower costs at the pump and support farmers during the spring planting season, it has sparked a debate between those seeking immediate economic relief and domestic maritime unions concerned about the long-term impact on American shipping and labor.

Uber and Rivian Partner to Deploy up to 50,000 Fully Autonomous Robotaxis

Uber and Rivian have announced a massive strategic partnership that signals a major shift in the future of autonomous logistics and urban mobility. Under the terms of the deal, Uber is set to invest up to $1.25 billion in Rivian through 2031, a move specifically tied to the achievement of key autonomous performance milestones. The primary focus of this collaboration is the deployment of a specialized fleet of fully autonomous R2 robotaxis, with an initial order of 10,000 vehicles and an option to scale up to 50,000 units. From a supply chain perspective, this represents a significant commitment to vertical integration; Rivian is managing the end-to-end production of the vehicle, the compute stack, and the sensor suite, including its in-house RAP1 AI chips, while Uber provides the scaled platform for deployment. Commercial operations are slated to begin in San Francisco and Miami in 2028, eventually expanding to 25 cities globally by 2031.

Schneider Electric and EcoVadis Announce Partnership to Decarbonize Global Healthcare Supply Chains

Schneider Electric, a major player in the digital transformation of energy management and automation, and EcoVadis, a provider of business sustainability ratings, have announced a strategic partnership aimed at accelerating decarbonization within the healthcare industry. “Energize” is a collective initiative to engage pharmaceutical industry suppliers in climate action. The collaboration focuses on addressing Scope 3 emissions, those generated within a company’s value chain, which often represent the largest portion of a healthcare organization’s carbon footprint. By combining Schneider Electric’s expertise in energy procurement and sustainability consulting with EcoVadis’s supplier monitoring and rating platform, the partnership provides a structured pathway for pharmaceutical and medical device companies to transition their global suppliers toward renewable energy.

Mind Robotics, a Rivian spin-off, raises $500 million in Series A Funding

RJ Scaringe, CEO of Rivian, is positioning his new $2 billion spin-off, Mind Robotics, as a technological solution to the chronic shortage of manufacturing labor in the Western world. By developing a “foundation model” that acts as an industrial brain alongside specialized mechatronic bodies, the company aims to move beyond the rigid, fixed-motion plans of traditional robotics toward systems capable of human-like reasoning and adaptation. Scaringe emphasizes that while these machines must perform with human-level dexterity, they don’t necessarily need to be humanoid in form; instead, the focus is on creating a data-driven “flywheel” within Rivian’s own facilities to lower production costs and help domestic manufacturing remain globally competitive.

DHL Expands North American Logistics Infrastructure Amid Growing Global Demand for Data Center Logistics Services

DHL is significantly scaling its data center logistics (DCL) footprint in North America, announcing the addition of 10 dedicated sites totaling over seven million square feet of warehousing capacity. This expansion is a direct response to the explosive demand for AI-driven infrastructure and the specific needs of hyperscale and colocation data center operators. By offering specialized services like rack pre-configuration, white-glove handling of sensitive IT hardware, and warehouse-to-site transportation, DHL is positioning itself as an end-to-end partner in a sector where 85% of operators express a preference for a single logistics provider. This move not only addresses the logistical complexities of moving high-value components like GPUs and cooling systems across global borders but also underscores the critical role of integrated supply chains in maintaining the build speed of the digital backbone.

Song of the Week:

The post Supply Chain and Logistics News March 16th-19th 2026 appeared first on Logistics Viewpoints.

Continue Reading

Non classé

How to Capitalize Quickly to Address Hyperconnected Industrial Demand

Published

on

By

How To Capitalize Quickly To Address Hyperconnected Industrial Demand

This first in a blog series offers a review of discussion that occurred during ARC Advisory Group’s 2026 Industry Leadership Forum. Specifically, it details a keynote conversation held with senior executives from Rolls-Royce, BTX Precision, and MxD.

The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production

Industrial leaders have been talking about tearing down workflow and data silos for decades. Yet here we are again. For most, the reality is that most operations and supply chains today typically don’t indicate much progress. A few leaders have figured out how to use digital tools to scale and build pathways forward, a whopping 12.9% according to our latest data (yes, that’s sarcasm). However, even as they struggle to coordinate, orchestrate, and innovate across their operations and enterprise, much less tightly collaborate outside their four walls. In a digital world, this continued capability gap, the inability to closely link market signals to responsive production and external supply chains, is very quickly becoming a liability.

Recently, at the 30th Annual ARC Industry Leadership Forum in Orlando, I had the privilege of leading a keynote discussion entitled The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. As part of that, I moderated an excellent conversation that included Global Commodity Executive Greg Davidson of Rolls-Royce, CEO Berardino Baratta of MxD, and CRO Jamie Goettler of BTX Precision.

In this four-part series, we will explore that conversation fully, digging into how the “fabric of market demand” has fundamentally changed, and why structural modernization, both human and technological, is no longer just an option. It is an industrial imperative that will increasingly determine who wins in disrupted markets.

Why Legacy Workflow Will Actually Get Modernized

If we examine the present through the lens of the past, the fundamental laws of supply and demand haven’t really changed. What has changed is the hyperconnectivity of the world and our compressed time to both reward and volatility.

The hard truth is that legacy linear workflows simply do not work in hyperconnected, digitally-driven environments, which are non-linear by nature. As our industrial environments become more digital, they naturally open up countless new ways for how things can get done and how risk can enter the organization. As a result, disruption has shifted from a rare event to a fairly continuous and pervasive reality. In this new reality, responsiveness differentiates you from the competition, and lag time kills.

To survive and thrive in non-linear environments, tighter, integrated ecosystems are required, where silos are actively torn down or redesigned so that barriers to value can be continuously identified and quickly eliminated. At the core, this concept is unfolding around data access, contextualization, and sharing. It provides the urgency behind the need for building industrial data fabrics.

This rewiring certainly extends beyond operations and enterprise processes, enabling the entirety of the supply chain to be judged on its collective responsiveness to the market, all the way down to the individual company level. In this scenario, data can quickly point out laggards who limit value. As the orchestrators of these supply chains identify these limitations on value, they quickly break off and discard the connection and move on without these weak links.

Pillars of the New Fabric of Demand

To achieve necessary level of operational and supply chain responsiveness, the roles of every entity within an ecosystem must be rethought. In the subsequent three blogs of this series, we will take a deep dive into the three distinct pillars that make up this modern architecture, but I’ll begin by laying them out here:

The Market Signal is the catalyst of the entire ecosystem. It dictates the “what” and the “when,” defining what value, success and risk look like in real-time. In blog 2, I’ll explore how to move from reactive assumptions to proactively capturing the market signals that actually matter.
The Demand Architect is moving beyond traditional order-taking. The Demand Architect designs and orchestrates the ecosystem, aligning external partners as true extensions of the enterprise. In blog 3, I’ll discuss the structural agility required to lead this response, rather than just manage a process.
The Agile Partner is the engine of execution. The Agile Partner links supply chain dynamics directly to the shop floor, differentiating themselves through their responsiveness to the market signal. In the final blog in the series, I’ll tackle how data transparency and trust become technical requirements, not just buzzwords, without exposing mission-critical IP.

Building the Modern Industrial Enterprise

Legacy workflows cannot survive in a non-linear world. Industrial organizations must re-architect operations and ecosystems for real-time responsiveness and secure, transparent collaboration. To do so, they will need to:

Improve the measurement of responsiveness: Efficiency and margin-squeezing are important, but they aren’t game-changers. Your competitive edge now relies on how quickly you can adapt to market signals.
Embrace transparency over secrecy: Modern collaboration requires providing a contextualized “lens” into production status without compromising proprietary IP or cybersecurity. Industrial data fabrics are key.
As always, view technology as a tool, not an outcome: Industrial data fabrics are needed to break silos and AI to manage complexity and improve accuracy and speed of decisions. However, the age-old adage remains true. Just because you can apply AI to something doesn’t mean you should. It must be grounded in measurable Value on Investment (VOI), not just return.

The New Fabric of Demand Blog Series

This is the first in a series of four on The New Fabric of Demand: Modernizing Collaboration and Transparency for Real-Time Production. Over the coming days, I’ll publish a perspective from each of the three pillars of the new fabric of demand:

Pillar 1: The Market Signal
Pillar 2: The Demand Architect
Pillar 3: The Agile Partner

By Mike Guilfoyle, Vice President.

For more than two decades, Michael has assisted organizations, including numerous Fortune 500 companies, in identifying and capitalizing on growth opportunities and market disruption presented by the effects of digital economies, energy transition, and industrial sustainability on the energy, manufacturing, and technology industries.

The post How to Capitalize Quickly to Address Hyperconnected Industrial Demand appeared first on Logistics Viewpoints.

Continue Reading

Trending