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Blue Yonder’s ICON 2025 Demonstrates Why Supply Chains Must Transform

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Blue Yonder’s Icon 2025 Demonstrates Why Supply Chains Must Transform

There is nothing like harnessing the energy of a user conference to outline a bold vision for a transforming world. In that vein, Blue Yonder’s ICON 2025 didn’t disappoint. Hosted at the Gaylord in Nashville the week harnessed the theme of machine speed and precision across connected supply chain processes. As you would expect, major emphasis was placed on the role of AI to deliver accurate, timely, and improved decisions at all points of supply chain processes using a combination of human-to-AI agent and agent-to agent collaboration. Given the company’s position in the market, the company is capable of executing the business strategy that delivers their vision to customers.

Duncon Angrove, Chief Executive Officer, Blue Yonder

What became quite clear over the course of the week was more evidence that the elephant is definitely still in the room, and ICON demonstrated that the rationale for supply chain modernization isn’t about a solution provider just trying to sell wares. Supply chain modernization must occur in today’s digital-centric world. We have been seeing the need for significant modernization (i.e., transformation) dating back years now. Supply chains need systemic change that must occur via communication, data sharing, and process modernization delivered through the use of orchestrated, interoperable AI agents and data fabrics across multiple enterprises. Whether it’s the shock of a pandemic, geopolitics, or global trade wars, the pace and complexity of volatility in today’s world is beyond the means of traditional supply chain business practices. The past approach of limited, incremental improvements is not sufficient for today’s supply chain needs. We are a quarter of the way into the 21st century and many supply chain practices are still behind the times. As people in such a consumer-heavy country (topic for another time) as the US, we experience it daily.

First, the News

Across the week, Blue Yonder leadership consistently mentioned their commitment to an artificial intelligence (AI) “innovation shockwave” and “avalanche.” As Blue Yonder Chief Executive Officer Duncan Angove mentioned in his keynote, the shockwave was the culmination of $2 billion investment the company began making about three years ago. He also noted that the company had rewritten 28 different planning applications onto one platform. At ICON, Blue Yonder unveiled a number of new products and services, as well as announcing a major acquisition. The products and services were focused around the idea of cognitive solutions delivered by the Blue Yonder Platform that is built on Snowflake’s AI data cloud. As defined by Blue Yonder, the company’s cognitive solutions have the following characteristics:

Cloud-native architecture: All cognitive applications are cloud-native, ensuring they are modern and “always current,” providing a continuous stream of business value without “forklift upgrades”.
Platform delivered: They are built on and sit in the company’s platform and Snowflake’s AI data cloud.
Interoperable and end-to-end: The applications are designed to work together as one system, supporting end-to-end supply chain processes.
Multi-enterprise: The One Network acquisition, announced in 2024, extends capabilities across multiple companies and tiers in the supply chain.
Unified data model: Applications are built on a common data model within the Snowflake AI Data Cloud, enabling concurrent demand and supply planning, unified allocation and replenishment, unified returns management, and unified execution decisions.
Intelligent and agentic: The company indicated that its cognitive solutions are inherently intelligent and agentic, leveraging Blue Yonder’s history as an early adopter of machine learning and other forms of AI.
Refined user experience: Integrating collaborative UX as a core tenet of solution development, emphasizing role-based interfaces, mobile-centric design and access, and the addition of multi-modal interaction.

Specifically, the company announced the release of five, new generative AI agents:

Inventory Ops Agent: This agent helps planners match supply with demand by guiding attention to mismatches, exceptions, and systemic issues. It includes root cause diagnosis and alternative action recommendation. It also highlights plan adjustments and communicates changes based on real-time conditions.
Logistics Ops Agent: The solution helps logistics teams monitor conditions and recommend route changes to prevent delivery disruptions, as well as automate appointment scheduling changes. It also identifies ways to optimize transport costs, on-time deliveries, and emissions.
Warehouse Ops Agent: The agent coordinates and manages highly interdependent tasks, including labor reallocation, supply/demand-based predictive warehouse layouts, outbound risk identification, trailer docking and unloading optimization, and risk mitigation associated with on time in full (OTIF) compliance.
Network Ops Agent: This enables supply chain monitoring across a multi-enterprise network. The agent automates order confirmations, stockout resolutions, carrier assignments, predictive ETA updates, container prioritizations, appointment re-scheduling and performance analysis. Users can have multi-modal interactions with the agent to gain real-time insights and collaboratively orchestrate problem resolutions.
Shelf Ops Agent: Thie solution enables planners to perform at-scale planogram edits using natural-language interactions. Actions such as swapping a product with another in many planograms, updating planograms in a project, analyzing performance, and creating custom reports can be performed quickly.

In a nod to helping customers more quickly and effectively adopt and scale this advanced, composable technology, Blue Yonder also announced a layer of planning and implementation services and solutions. The company’s Agent Advisory Activation Service is designed to get customers successfully running agents in 6-12 weeks. Blue Yonder, Snowflake and RelationalAI also co-announced the development of a supply chain knowledge graph that can use unstructured data to record the structure of business relationships and processes in human-readable form. Finally, Microsoft also joined the keynote to announce that Blue Yonder is using Azure AI Foundry as the core development platform across its entire product suite to design, customize, and manage apps and agents at scale.

Blue Yonder’s Chief Sustainability Officer Saskia van Gendt

In addition to cognitive solutions, another main theme was a continued commitment to sustainability. Blue Yonder’s Chief Sustainability Officer Saskia van Gendt joined CEO Angove on stage to announce that the company announced had acquired UK-based Pledge Earth Technologies. The company provides supply chain teams and logistics service providers (LSPs) with accredited emissions measurement and reporting capabilities. In a nod to its end-to-end supply chain strategy, Blue Yonder will now be able to help its customers automate the collection and exchange of shipment data from logistics suppliers to facilitate accredited and traceable emissions calculations across all transport modes, including air, inland (e.g., truck, rail, barges), and sea. Blue Yonder customers can extend their applicable Blue Yonder solutions to include this new capability, allowing them to receive emissions reporting that is in conformance with the Global Logistics Emission Council (GLEC) framework, developed by the Smart Freight Center (SFC), and aligned with International Organization for Standardization (ISO) 14083: Greenhouse gases.

Doubling Down on Integrating AI into Market Strengths

End-to-end, interoperable technology strategies aren’t new, per se, but few companies are positioned to actually carry them out. While the supply chain market is fiercely competitive, market perception is that if it can be done, it requires solutions built upon both breadth and depth of expertise. Blue Yonder is an acknowledged leader across a broad set of supply chain processes as well as within them. And while most every company out there is investing in AI, Blue Yonder is noted for its history with forms of it such as machine learning, going back to JDA’s 2018 acquisition and 2020 rebranding based on that capability.

The change in how software is built and can be consumed also plays in Blue Yonder’s favor. As the use of monolithic systems diminishes, rip-and-replace upgrades, a non-starter for many, aren’t necessary. That doesn’t diminish the widespread challenge of technical debt. However, composable architecture, the basis for most modern software, enables a much more measured approach to adding and connecting functionality. It can be done using managed steps that aren’t limited to being incremental, as they have been in the past. As companies undertake a journey on supply chain modernization, Blue Yonder assists the transformation using the SADA loop concept (See, Analyze, Decide, Act). The SADA loop was adapted from the military’s OODA loop (observe, orient, decide, act), developed by an officer in the US Air Force to improve aerial combat outcomes. Both concepts are bult upon the idea that speed for the sake of speed doesn’t always dictate winning, and that it must be delivered with timing and context to be effective. These concepts underpin how composable software can be applied.

To understand what the SADA loop concept looks like in execution, supply chain teams can take a look at the results from Blue Yonder’s Composable Journey, launched at the beginning of 2024. The Composable Journey is an implementation and transformation methodology for customers to undertake tailored digital modernization. It is designed to digitally modernize supply chains via incremental steps, taken at the pace of the customer, by leveraging composable microservices and their interoperability. Blue Yonder reported that since the release of the program, the company has already completed more than 200 instances with a 12x average jump in business ROI.

Navigating Potential Risks

Holistic interoperability does present challenges, both for the provider and users of those solutions. Blue Yonder will have to navigate those waters as it helps its customers modernize. Even as the company focuses on helping customers address market uncertainty, that same volatility impacts the ability of providers to plan for long-term investment. Determining what functionality to create, as well as what existing capabilities to deprecate, will need to be executed with precise timing and excellence, as competitors are also actively pushing the market to modernize. In volatile markets, mistakes have a compounded negative impact on market share.

For their customers, Blue Yonder will need to be on point as to how it helps them modernize. What they are suggesting is step change to generally risk-averse markets. Moving from entrenched fragmentation to multi-enterprise, intelligent interoperability is necessary, yes, but it’s neither simple nor inexpensive. The technology is there, frankly, but like with most digital transformation concepts, the ability of users to organize people and data correctly is the critical component, as software is the enabler. The sheer volume of expected change could be seen as overwhelming. The pace of the expected return on Blue Yonder’s investment will also need to account for how quickly the market can move to adopt change.

At the same time, Blue Yonder must deal with an array of competitors that range from those using process-specific best-of-breed to holistic solutions approaches. Additionally, Blue Yonder will need to determine how to best integrate its partners in the customer journey. Some of those partners have developed core, vertical expertise across decades and will need to better understand how they, too, benefit from the Composable Journey. Unfortunately, the partner piece of the event was held the day I travelled home, so I don’t have the specifics of the Blue Yonder strategy on this front. However, that’s something I briefly touched on with Angove and will be sure to follow up on. He’s very aware of this issue, certainly, and understands the need to get it right.

The executive team at Blue Yonder provided ample evidence that they are all pulling in the same direction. It seems there has been ample evidence of the benefit of success. Overall, the event demonstrated that Blue Yonder is positioning itself with a bold, transformative strategy built on a modern, unified, AI-driven platform, aiming to deliver step-change value in a volatile world, despite the inherent challenges of large-scale customer transitions.

By Mike Guilfoyle Vice President ARC Advisory Group
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.

Michael’s expertise is in market analysis and strategy development for companies facing transformational market drivers. At ARC, he leads a team that researches the impact of energy transition and sustainability on industrial organizations. Mike is also an acknowledge thought leader in industrial digital transformation. He spends considerable time working with clients on the human side of sustainability and digital transformation and their impact on workforce skills development, knowledge transfer, and change management. Michael is also a co-founder and steering committee member of the Digital Transformation Council.

Michael has held multiple senior management positions in business and market strategy. Just prior to joining ARC, he was a key contributor on Oracle’s global industry strategy team for utilities. During that time, he spearheaded many strategic planning and go-to-market initiatives covering topics such as business model evolution, advanced distribution management, operational analytics, distributed energy, mobility, asset management, workforce modernization, and knowledge management.

The post Blue Yonder’s ICON 2025 Demonstrates Why Supply Chains Must Transform appeared first on Logistics Viewpoints.

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India–U.S. Trade Announcement Creates Strategic Options, Not Executable Change

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India–u.s. Trade Announcement Creates Strategic Options, Not Executable Change

The announcement by Donald Trump and Narendra Modi of an India–U.S. “trade deal” has drawn immediate attention from global markets. From a supply chain and logistics perspective, however, the more important observation is not the scale of the claims, but the lack of formal detail required for execution.

At this stage, what exists is a political statement rather than a completed trade agreement. For companies managing sourcing, manufacturing, transportation, and compliance across India–U.S. trade lanes, uncertainty remains the defining condition.

What Has Been Announced So Far

Based on public statements from the U.S. administration and reporting by CNBC and Al Jazeera, several points have been asserted:

U.S. tariffs on Indian goods would be reduced from an effective 50 percent to 18 percent

India would reduce tariffs and non tariff barriers on U.S. goods, potentially to zero

India would stop purchasing Russian oil and increase energy purchases from the United States

India would significantly increase purchases of U.S. goods across energy, agriculture, technology, and industrial sectors

Statements from the Indian government have been more limited. New Delhi confirmed that U.S. tariffs on Indian exports would be reduced to 18 percent, but it did not publicly confirm commitments related to Russian oil, agricultural market access, or large scale procurement from U.S. suppliers.

This divergence matters. In supply chain planning, commitments only become relevant when they are documented, scoped, and enforceable.

Why This Is Not Yet a Trade Agreement

From an operational standpoint, the announcement lacks several elements required to support planning and execution:

No published tariff schedules by HS code

No clarification on rules of origin

No definition of non tariff barrier reductions

No implementation timelines

No enforcement or dispute resolution mechanisms

Without these components, companies cannot reliably model landed cost, supplier risk, or network design changes.

By comparison, India’s recently announced trade agreement with the European Union includes detailed provisions covering market access, regulatory alignment, and investment protections. Those provisions are what allow supply chain leaders to translate trade policy into operational decisions. The U.S. announcement does not yet meet that threshold.

Implications for Supply Chains

Tariff Reduction Could Be Material if Formalized

An 18 percent tariff rate would improve India’s competitive position relative to regional peers such as Vietnam, Bangladesh, and Pakistan. If implemented and sustained, this could support incremental sourcing from India in sectors such as textiles, pharmaceuticals, and light manufacturing.

For now, however, this remains a scenario rather than a planning assumption.

Energy Commitments Are the Largest Unknown

The claim that India would halt purchases of Russian oil has significant implications across energy, chemical, and manufacturing supply chains. Russian crude has been a key input for Indian refineries and downstream industrial production.

A shift away from that supply would affect energy input costs, tanker routing, port utilization, and U.S.–India crude and LNG trade volumes. None of these impacts can be assessed with confidence without confirmation from Indian regulators and implementing agencies.

Agriculture Remains Politically and Operationally Sensitive

U.S. officials have suggested expanded access for American agricultural exports. Historically, agriculture has been one of the most protected and politically sensitive sectors in India.

Any meaningful liberalization would raise questions around cold chain capacity, port infrastructure, domestic political resistance, and regulatory compliance. These factors introduce execution risk that supply chain leaders should consider carefully.

Compliance and Digital Trade Issues Are Unresolved

Several areas remain undefined:

Whether India will adjust pharmaceutical patent protections

Whether U.S. technology firms will receive exemptions from digital services taxes

Whether labor and environmental standards will be linked to market access

Each of these issues influences sourcing strategies, contract terms, and long term cost structures.

Practical Guidance for Supply Chain Leaders

Until formal documentation is released, a measured approach is warranted:

Avoid making structural network changes based on political announcements

Model tariff exposure using multiple scenarios rather than a single assumed outcome

Monitor customs and regulatory guidance rather than headline statements

Assess exposure to potential energy cost changes in Indian operations

Track implementation of the India–EU agreement as a near term reference point

Bottom Line

This announcement suggests a potential shift in the direction of India–U.S. trade relations, but it does not yet provide the clarity required for operational decision making.

For now, it creates strategic optionality rather than executable change.

Until tariff schedules, regulatory commitments, and enforcement mechanisms are formally published, supply chain and logistics leaders should treat this development as informational rather than actionable. In trade, execution begins only when the documentation exists.

The post India–U.S. Trade Announcement Creates Strategic Options, Not Executable Change appeared first on Logistics Viewpoints.

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Winter weather challenges, trade deals and more tariff threats – February 3, 2026 Update

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Winter weather challenges, trade deals and more tariff threats – February 3, 2026 Update

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Published: February 3, 2026

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Weekly highlights

Ocean rates – Freightos Baltic Index

Asia-US West Coast prices (FBX01 Weekly) decreased 10% to $2,418/FEU.

Asia-US East Coast prices (FBX03 Weekly) decreased 2% to $3,859/FEU.

Asia-N. Europe prices (FBX11 Weekly) decreased 5% to $2,779/FEU.

Asia-Mediterranean prices(FBX13 Weekly) decreased 5% to $4,179/FEU.

Air rates – Freightos Air Index

China – N. America weekly prices increased 8% to $6.74/kg.

China – N. Europe weekly prices decreased 4% to $3.44/kg.

N. Europe – N. America weekly prices increased 10% to $2.53/kg.

Analysis

Winter weather is complicating logistics on both sides of the Atlantic. Affected areas in the US, especially the southeast and southern midwest are still recovering from last week’s major storm and cold.

Storms in the North Atlantic slowed vessel traffic and disrupted or shutdown operations at several container ports across Western Europe and into the Mediterranean late last week. Transits resumed and West Med ports restarted operations earlier this week, but the disruptions have already caused significant delays, and weather is expected to worsen again mid-week.

The resulting delays and disruptions could increase congestion levels at N. Europe ports, but ocean rates from Asia to both N. Europe and the Mediterranean nonetheless dipped 5% last week as the pre-Lunar New Year rush comes to an end. Daily rates this week are sliding further with prices to N. Europe now down to about $2,600/FEU and $3,800/FEU to the Mediterranean – from respective highs of $3,000/FEU and $4,900/FEU in January.

Transpacific rates likewise slipped last week as LNY nears, with West Coast prices easing 10% to about $2,400/FEU and East Coast rates down 5% to $3,850/FEU. West Coast daily prices have continued to slide so far this week, with rates dropping to almost $1,900/FEU as of Monday, a level last seen in mid-December.

Prices across these lanes are significantly lower than this time last year due partly to fleet growth. ONE identified overcapacity as one driver of Q3 losses last year, with lower volumes due to trade war frontloading the other culprit.

And trade war uncertainty has persisted into 2026.

India – US container volumes have slumped since August when the US introduced 50% tariffs on many Indian exports. Just this week though, the US and India announced a breakthrough in negotiations that will lower tariffs to 18% in exchange for a reduction in India’s Russian oil purchases among other commitments. President Trump has yet to sign an executive order lowering tariffs, and the sides have not released details of the agreement, but once implemented, container demand is expected to rebound on this lane.

Recent steps in the other direction include Trump issuing an executive order that enables the US to impose tariffs on countries that sell oil to Cuba, and threatening tariffs and other punitive steps targeting Canada’s aviation manufacturing.

The recent volatility of and increasing barriers to trade with the US since Trump took office last year are major drivers of the warmer relations and increased and diversified trade developing between other major economies. The EU signed a major free trade agreement with India last week just after finalizing a deal with a group of South American countries, and other countries like the UK are exploring improved ties with China as well.

In a final recent geopolitical development, Panama’s Supreme Court nullified Hutchinson Port rights to operate its terminals at either end of the Panama Canal. The Hong Kong company was in stalled negotiations to sell those ports following Trump’s objection to a China-related presence in the canal. Maersk’s APMTP was appointed to take over operations in the interim.

In air cargo, pre-LNY demand may be one factor in China-US rates continuing to rebound to $6.74/kg last week from about $5.50/kg in early January. Post the new year slump, South East Asia – US prices are climbing as well, up to almost $5.00/kg last week from $4.00/kg just a few weeks ago.

China – Europe rates dipped 4% to $3.44/kg last week, with SEA – Europe prices up 7% to more than $3.20/kg, and transatlantic rates up 10% to more than $2.50/kg, a level 25% higher than early this year.

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Judah Levine

Head of Research, Freightos Group

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

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The post Winter weather challenges, trade deals and more tariff threats – February 3, 2026 Update appeared first on Freightos.

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Microsoft and the Operationalization of AI: Why Platform Strategy Is Colliding with Execution Reality

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Microsoft And The Operationalization Of Ai: Why Platform Strategy Is Colliding With Execution Reality

Microsoft has positioned itself as one of the central platforms for enterprise AI. Through Azure, Copilot, Fabric, and a rapidly expanding ecosystem of AI services, the company is not merely offering tools, it is proposing an operating model for how intelligence should be embedded across enterprise workflows.

For supply chain and logistics leaders, the significance of Microsoft’s strategy is less about individual features and more about how platform decisions increasingly shape where AI lives, how it is governed, and which decisions it ultimately influences.

From Cloud Infrastructure to Operating Layer

Historically, Microsoft’s role in supply chain technology centered on infrastructure and productivity software. Azure provided scalable compute and storage, while Office and collaboration tools supported planning and coordination. That boundary has shifted.

Microsoft is now positioning AI as a horizontal operating layer that spans data management, analytics, decision support, and execution. Azure AI services, Microsoft Fabric, and Copilot are designed to work together, reducing friction between data ingestion, model development, and business consumption.

The implication for operations leaders is subtle but important: AI is no longer something added to systems; it is increasingly embedded into the platforms those systems rely on.

Copilot and the Question of Decision Proximity

Copilot has become a focal point of Microsoft’s AI narrative. Positioned as an assistive layer across applications, Copilot aims to surface insights, generate recommendations, and automate routine tasks.

For supply chain use cases, the key question is not whether Copilot can generate answers, but where those answers appear in the decision chain. Insights delivered inside productivity tools can improve awareness and coordination, but operational value depends on whether recommendations are connected to execution systems.

This highlights a broader pattern: AI that remains advisory improves efficiency; AI that is embedded into workflows influences outcomes. Microsoft’s challenge is bridging that gap consistently across heterogeneous enterprise environments.

Microsoft Fabric and the Data Foundation Problem

Microsoft Fabric represents an attempt to simplify and unify the enterprise data landscape. By combining data engineering, analytics, and governance into a single platform, Microsoft is addressing one of the most persistent barriers to AI adoption: fragmented and inconsistent data.

For supply chain organizations, Fabric’s value lies in its potential to standardize event data across planning, execution, and visibility systems. However, unification does not eliminate the need for data discipline. Event quality, latency, and ownership remain operational issues, not platform features.

Fabric reduces friction, but it does not resolve governance by itself.

Integration with Existing Enterprise Systems

Microsoft’s AI strategy assumes coexistence with existing ERP, WMS, TMS, and planning platforms. Integration, rather than replacement, is the dominant pattern.

This creates both opportunity and risk. On one hand, Microsoft can act as a connective tissue across systems that were never designed to work together. On the other, loosely coupled integration increases dependence on interface stability and data consistency.

In execution-heavy environments, even small integration failures can cascade quickly. As AI becomes more embedded, integration reliability becomes a strategic concern.

Where AI Is Delivering Value, and Where It Isn’t

AI deployments tend to deliver value fastest in areas such as demand sensing, scenario analysis, reporting automation, and exception identification. These use cases align well with Microsoft’s strengths in analytics, collaboration, and scalable infrastructure.

Where value is harder to realize is in autonomous execution. Closed-loop decision-making that directly triggers operational action requires tighter coupling with execution systems and clearer decision ownership.

This reinforces a recurring theme: platform AI accelerates insight, but execution still depends on operating model design.

Constraints That Still Apply

Despite the breadth of Microsoft’s AI portfolio, familiar constraints remain. Data quality, security, compliance, and organizational readiness continue to limit outcomes. AI platforms do not eliminate the need for process clarity or decision accountability.

In some cases, the ease of deploying AI services can outpace an organization’s ability to absorb them operationally. This creates a risk of insight saturation without action.

Why Microsoft Matters to Supply Chain Leaders

Microsoft’s relevance lies in its ability to shape the default environment in which enterprise AI operates. Platform decisions made today influence data architectures, governance models, and user expectations for years.

For supply chain leaders, the key takeaway is not to adopt Microsoft’s AI stack wholesale, but to understand how platform-level AI affects where intelligence sits, how it flows, and who ultimately acts on it.

The next phase of AI adoption will not be defined solely by model performance. It will be defined by how effectively platforms like Microsoft’s translate intelligence into operational decisions under real-world constraints.

The post Microsoft and the Operationalization of AI: Why Platform Strategy Is Colliding with Execution Reality appeared first on Logistics Viewpoints.

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