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Internet of Things (IoT): Transforming Real-Time Data Collection and Tracking for Digital Product Passports

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Internet Of Things (iot): Transforming Real Time Data Collection And Tracking For Digital Product Passports

IoT: Powering the Future of Digital Product Passports

The Internet of Things (IoT) continues to impact how industries track products and manage data. This network of devices enables seamless, automatic data collection from physical objects in near real-time. IoT sensors attached to products monitor various parameters such as temperature, humidity, location, and other factors critical to a product’s lifecycle. Digital Product Passports (DPPs) rely heavily on this IoT to capture and record this data, providing a transparent view of a product’s life from creation to retirement and disposal. This IoT data stream ensures that every action taken on a product is tracked and verified. This near real-time monitoring ensures compliance with regulations, enhances product safety, and helps build trust with consumers. By using IoT, DPPs become living, evolving records that reflect a product’s actual environmental and operational footprint. This allows businesses to automate compliance and provide operational transparency, reducing the need for manual interventions and documentation. For businesses and consumers alike, this increased transparency is valuable, as it builds a clear chain of custody for products. In a world where sustainability and traceability are increasingly important, IoT is a foundational pillar of a robust and dependable DPP system.

How IoT Enhances the DPP Ecosystem

The current ecosystem for Digital Product Passports is built in parallel, and in conjunction with IoT devices. From production to disposal, IoT enables data acquisition across every stage of a product’s lifecycle. In manufacturing, IoT sensors ensure that each step of the process is tracked, ensuring that all materials meet required quality standards. This data feeds directly into the DPP, creating a permanent record of how a product was built. Throughout the supply chain, IoT devices monitor products as they move, tracking critical factors including transportation conditions and environmental parameters. The data is collected, then updated in the DPP, offering real-time insights into a product’s current condition. In retail environments, IoT-enabled systems manage inventory levels and provide feedback about stock conditions, further enhancing the DPP’s accuracy. Even at the end-of-life stage, IoT plays a role by helping track recycling and disposal processes, ensuring that materials are managed correctly. The constant feedback loop enabled by IoT ensures that DPPs are always accurate and up to date, offering complete transparency for all stakeholders.

Challenges of Implementing IoT in DPPs

While IoT offers great potential for Digital Product Passports, there are challenges to its widespread implementation. One of the concerns is data security, as the constant flow of information between devices can be vulnerable to cyberattacks. Ensuring the integrity of data collected by IoT devices is essential to maintaining the reliability of DPPs. Another challenge is device compatibility—different manufacturers produce IoT devices with varying standards, making it difficult to ensure frictionless communication between systems. Additionally, the cost of implementing a full IoT infrastructure, especially for smaller companies, can be prohibitive. There is also the issue of data overload—IoT devices generate tremendous amounts of information, and managing, storing, and analyzing this data requires significant investments in both technology and technical expertise. Moreover, IoT devices must function in various environmental conditions, and maintaining their reliability in harsh settings presents another challenge. Privacy concerns also arise as collected data may include sensitive information, including intellectual property. Regulatory hurdles, including compliance with national and international standards, add complexity to IoT deployment in DPPs. Lastly, businesses may face resistance to change, as adopting IoT requires a reengineering of workflows and processes.

Overcoming IoT Challenges for Seamless DPP Integration

To fully realize the benefits of IoT in Digital Product Passports, businesses must strategically address these challenges. First, improving cybersecurity protocols is critical, with encryption technologies and secure communication methods helping to safeguard data integrity. Open standards should be embraced to ensure true interoperability between IoT devices from different manufacturers, and the DPP, fostering a more interoperable ecosystem. Companies can start small by implementing IoT in key areas of their operations, gradually expanding to larger-scale deployments as they learn and become more comfortable with the technology. Cloud-based storage solutions can manage the substantial amounts of data generated by IoT devices, offering scalable and flexible options for businesses of all sizes. Implementing predictive maintenance strategies can also help ensure that IoT devices remain reliable, particularly in hazardous and extreme environments. Businesses should work closely with regulatory bodies to ensure compliance with relevant data privacy and security regulations, while educating their teams on best practices for handling sensitive information. Strategic partnerships with technology providers can also assist businesses in leveraging expertise in IoT and DPP integration. Regularly updating and maintenance of IoT systems will further enhance their efficiency and reliability. By addressing these challenges, companies can unlock the full potential of IoT-driven DPPs.

A Future of Enhanced Transparency with IoT-Driven DPPs

In the future, IoT will continue to play a vital role in empowering Digital Product Passports. The arrival of 5G technology will enhance the speed and reliability of IoT networks, allowing for even more real-time data collection and faster processing times. This will enable businesses to track products across global supply chains with even more accuracy. Machine learning and artificial intelligence will also enhance IoT systems, enabling predictive analytics that can foresee potential issues before they arise, further improving the accuracy of DPPs. IoT sensors continue to become more advanced, capable of tracking an even broader range of data points to give a more comprehensive picture of a product’s lifecycle. Blockchain integration with IoT will ensure that all data collected is securely recorded, increasing trust in the accuracy of Digital Product Passports. These advances should allow consumers and businesses to make more informed decisions, boosting transparency and accountability in industries. Governments and regulators are also expected to introduce additional rules requiring real-time data tracking for products, further driving the adoption of IoT-enabled DPPs. This future will see Digital Product Passports become a standard part of global supply chains, enabling better sustainability and resource management.

How Businesses Can Leverage IoT for DPP Success

For businesses aiming to maximize the benefits of IoT in Digital Product Passports, several strategic actions should be taken. First, investing in secure IoT networks with end-to-end encryption will ensure that data collected is protected from potential cyber threats. Businesses should also work with IoT device manufacturers to adopt open standards, enabling seamless communication between different devices and systems. Scalability is key, companies should begin with small IoT implementations and expand their networks as they grow more familiar with the technology. Additionally, cloud-based solutions offer the flexibility to manage the huge amounts of data generated by IoT devices, ensuring that companies can scale their data management systems alongside their IoT deployments. Leveraging 5G technology will boost the efficiency of IoT devices, particularly in tracking products in real time across global supply chains. Businesses should also focus on training their workforce to manage and interpret the data generated by IoT devices, as this skill set will be critical for maintaining accurate Digital Product Passports. Strategic partnerships with IoT providers will allow companies to tap into innovative technologies and expertise. Investing in predictive maintenance and regularly updating IoT systems will ensure that devices remain reliable. Finally, integrating AI-driven analytics can help businesses extract valuable insights from the data collected, enabling better decision-making.

IoT and Digital Product Passports: A Secure, Transparent Future

Thus, Digital Product Passports, when powered by IoT, offer an unprecedented level of transparency and accountability. IoT provides the real-time data necessary to ensure that every product is tracked accurately throughout its lifecycle, building trust with consumers, and improving operational efficiency. However, the challenges of security, interoperability, and cost must be addressed for businesses to fully leverage IoT’s potential. With advancements in 5G, machine learning, and blockchain, the future of IoT-driven DPPs is one of enhanced transparency, faster data collection, and greater sustainability. Businesses that take proactive steps to adopt and integrate IoT into their operations will find themselves better positioned to meet regulatory requirements and consumer expectations. The key is adopting a strategic, phased approach to IoT deployment, focusing on security and interoperability while remaining agile in the face of technological advancements. As the IoT ecosystem continues to evolve, Digital Product Passports will become an essential tool for managing product lifecycles, ensuring that businesses remain competitive and accountable in an increasingly transparent global market.

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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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