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10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain
Published
1 an agoon
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Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities.
Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
1. Enables You to Identify Inefficiencies and Make Better and Informed Decisions
A unified view of your data accelerates informed decision-making and provides you with a comprehensive understanding of your supply chain. For example, with a data gateway, a supply planner gains accelerated access to customer orders, inventory levels, and transportation schedules, all in one place, to increase the user experience of making the right choice to identify inefficiencies and make better, more informed decisions.
2. Reduces Implementation Times
Enterprises and supply chain software providers strive to reduce application implementation times. A data gateway can serve as a front-end for a range of supply chain software applications, speeding and simplifying data ingestion, integration, and staging processes, significantly reducing application implementation times, lowering operational costs, and accelerating time to value.
3. Provides the Right Data for the Right Users
Making it easier to provide the right data for the right consuming users and applications at the right time and in the proper format reduces dependency on IT resources. This can be achieved through low-code and self-service access, making formerly siloed data accessible to business users and data stewards, faster and with less overhead, eliminating reliance on developers.
4. Allows for Growth
Long-term growth and relevance for your organization depends on your ability to adapt to changing business needs and data requirements. As an organization grows, and its data requirements expand, a supply chain data gateway’s performance should not suffer when demand increases. Instead, a high level of performance is expected even when dealing with a significantly large volume of users, data, and requests.
5. Automates Data Operations
Managing data operations can require a lot of human capital and operational costs. With a data gateway you can automate data operations, reducing the need for manual intervention and improving overall efficiency. This includes automated data processing, transformation, and management tasks, which help streamline data operations, reduce errors, and lower operational costs.
6. Provides Flexibility to Connect with a Wide Range of Data Sources
Flexibility is crucial for organizations connecting with a wide range of data sources and applications. With a data gateway, you have the flexibility to support open data access and enable seamless integration with other systems and applications. It should be easy to connect to new data sources as the need arises, such as ESG or SNEW (social, news, events, weather) data.
A data gateway gives you the flexibility to support supply chain data unification and exchange with an extensible canonical supply chain data model, ensuring that data is stored and managed in a consistent and structured manner, and allowing for easy integration and growth. It also feeds downstream applications including BI, reporting, and supply chain applications, with the right data sets, in the formats the applications expect, and at the right time the data is needed.
7. Improves Supply Chain Visibility and Efficiency
Identifying bottlenecks, optimizing inventory levels, and improving overall efficiency are goals for all supply chain practitioners. Achieving these goals requires visibility into the entire supply chain. This visibility, a comprehensive view of data across the entire supply chain, is made faster and easier with a data gateway. A manufacturing company, for example, can monitor real-time data from its suppliers, production lines, and distribution centers. By analyzing this data, the company can identify areas for improvement and implement changes to improve operational efficiency.
8. Accelerates Decision-Making and Strategic Planning
The ability to access and analyze timely, accurate, and consistent data is essential for effective decision-making and strategic planning. A data gateway provides users with real-time data to make accelerated, informed decisions, based on data from the entire supply chain. This enables companies to react faster to disruptions and exceptions and know that they are making the most informed decision possible.
9. Ensures High Security and Reliability
A cloud-based approach allows an organization to focus on core business activities by reducing the need for in-house IT management. With a data gateway that is fully managed and hosted by major cloud providers, organizations can be ensured high security and reliability so they can focus on making sense of the data.
10. Facilitates Sustainability Reporting and Environmental Compliance Goals
ESG (environmental, social, and governance) reporting and compliance are growing in importance and yet many organizations are struggling to collect and connect data from some of these new sources. A data gateway provides a unified and harmonized view of supply chain data, which is essential for generating accurate and reliable ESG reports. By integrating data from various sources, including IoT devices and third-party systems, organizations can monitor and manage their environmental impact more effectively. In manufacturing, companies can track and report on carbon emissions, water usage, and waste generation, reducing their environmental footprint and improving sustainability performance.
Final Thought
Quick and easy access to live and historical data is critical for supply chain practitioners, data analysts, stewards, and engineers in any industry. Here are just a few examples of industries that can benefit from a supply chain data gateway:
Fast Moving Consumer Goods and Consumer Packaged Goods (FMCG and CPG): In FMCG and CPG, the ability to make rapid, data-driven decisions is crucial for staying competitive in a fast-paced market. Companies can optimize their supply chain operations by using a data gateway that provides a unified and harmonized view of data. For instance, a logistics manager can monitor real-time data on inventory levels, customer orders, and transportation schedules to make better informed decisions and reduce lead times and costs while improving customer satisfaction.
Healthcare: In healthcare, a data gateway can improve supply chain visibility and inventory optimization by providing a unified and harmonized connective tissue of data. This provides a data foundation to optimize medical and supply fulfillment to limit procedure cancellations along with real-time data analytics.
Third-Party Logistics (3PL): In the 3PL sector, a data gateway can significantly enhance decision making by providing a unified and harmonized view of data. By integrating data from different sources, logistics managers can make more informed decisions about when and how to fulfill orders. Additionally, the real-time data access and analytics capabilities of a data gateway can help in identifying and addressing issues as they arise, such as delays in transportation or shortages in inventory.
Application and Solution Providers: For application and solution providers, a data gateway can reduce customer implementation times and lower operational costs. By providing a low-code, self-service data gateway front-end, software providers accelerate time to revenue and improve customer satisfaction.
Wholesale Distribution: In wholesale distribution, a data gateway can help optimize inventory levels and improve supply chain visibility. By providing a unified and harmonized view of data, distributors can gain a comprehensive understanding of their operations, from supplier relationships to customer demand. This can help in identifying inefficiencies and implementing changes to improve operations and customer satisfaction.
Automotive: Automotive manufacturers face a myriad of challenges, but having access to anticipated supplier disruptions to ensure parts availability is one of the most notable challenges. With a data gateway, you gain visibility across their suppliers, enabling them to provide accurate data for actionable insights through a prescriptive control tower to drive a resilient, agile, and intelligent supply chain.
Manufacturing: A smart factory relies on IT-OT integration. With a data gateway, you can easily combine data from OT systems and real time signals from the shop floor with enterprise IT and analytics systems to enable manufacturers to improve quality, efficiency, respond faster to events, and predict and avoid problems before they occur.
Public Sector: Government agencies are engaged with supply chains from multiple perspectives. They monitor food, drug, and public safety, transportation, materials and other sectors for real-time visibility and decision support. They provide supply chain logistics for agencies as they deal with thousands of suppliers and need real-time insights to drive efficiency. And they support maintenance, repair, and operations (MRO) for agencies that need to track and maintain assets and infrastructure across multiple sectors of the economy. Access to real-time, unified data makes all of these processes more efficient and compliant.
If it sounds impossible to achieve all the benefits outlined above through one solution, I assure you, it is not. A data gateway makes it faster and simpler to integrate, harmonize, and normalize disparate data and deliver it to the right consuming users and applications at the right time and in the proper format to accelerate time to value.
Learn more at InterSystems.com/DataGateway.
Mark Holmes
Head of Supply Chain Market Strategy
InterSystems
Mark Holmes is Head of Global Supply Chain Market Strategy at InterSystems, a creative data technology provider. He brings more than 25 years of experience in consulting, manufacturing operations, and software development from such organizations as Dow Chemical, GS1 (Brussels), Aspen Technology, and CGI. He specializes in working with manufacturers and retailers/CPG to solve their most difficult supply chain issues through digital transformation with a modern data fabric architecture. Breaking down data silos and leveraging artificial intelligence and machine learning to drive actionable insights throughout an organization’s global supply chain, Mark has delivered value to companies like Tyson Foods, Ferrero Roche, TJX Companies, Hard Rock Café, and Albertsons.
Mark joined InterSystems in 2021 to broaden InterSystems global market in supply chain. Holmes has been a board member for the Association for Supply Chain Management and is APICS certificated in Transportation, Logistics and Distribution (CTLD) from the same organization. He earned a BS degree in business administration from Indiana University in Bloomington, Indiana, and an MBA from Bentley University in Waltham, Massachusetts.
The post 10 Ways A Data Gateway Improves Time to Value Across Your End-to-End Supply Chain appeared first on Logistics Viewpoints.
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From Deluges to Dry Beds: How Extreme Weather is Rewriting Logistics Strategy
Published
7 heures agoon
13 juillet 2026By
Historically, supply chain managers viewed extreme weather as a series of isolated, unlinked headaches, a temporary detour here, a delayed container vessel there. But recent events are proving that climate-driven disruptions are no longer isolated events; they are systemic, compounding risks occurring simultaneously. Right now, global logistics are caught in a bizarre paradox of water volatility: inland waterways are concurrently shutting down due to both catastrophic flooding and severe drought.
The Current Snapshot:
In the United States, flash flooding across Missouri and the wider Ohio and Tennessee river valleys has completely knocked out regional road networks, forced emergency evacuations, and pushed the Black River to a projected record crest of 28 feet. Thunderstorms piled on top of each other to dump between 6 and 12 inches of rain across southern Missouri, with some areas near Miaoli receiving nearly 31 inches (80 cm) of downpour. The deluge tore a woman’s home entirely from its foundation, claiming her life, while the Army National Guard had to deploy Black Hawk helicopters to rescue more than 200 children and staff trapped at a summer camp in Lesterville. These slow-moving storms have brought regional last-mile and freight networks to a halt.
Across the Pacific, Typhoon Bavi just battered Taiwan and East China, forcing massive evacuations of over 2 million people and completely disrupting cargo handling and air freight at major hubs like Shanghai, where airlines canceled more than 680 flights. Yet, while parts of the world are drowning, Europe’s most critical commercial artery is choked by a severe mid-summer heatwave. On July 13th, water levels at the critical Kaub chokepoint on the Rhine plummeted to 53cm, well below the 81cm threshold where standard low-water surcharges apply. Freight barges are currently restricted to carrying just 20% of their total capacity, forcing operators to move volumes by individual agreement only. This near-standstill has triggered a massive, expensive migration of freight onto an already maxed-out rail and road infrastructure.
The Strategic Shift: Redundancy is Dead, Dynamic Flex is In
This dual reality underscores a massive trend shaping supply chain management: the shift from static risk planning to dynamic execution. When a primary inland waterway fails, you cannot simply rely on a fixed backup plan, because your backup mode (whether it is rail hubs restricted by local congestion or trucking lanes blocked by flash floods) is likely facing its own climate or operational constraints.
To endure this era of unforeseen climate events, logistics leaders are focusing on three main areas:
Mode Elasticity: Building contractual agility into carrier agreements so that switching from barge to rail, or air to ocean, can happen in hours rather than weeks.
Predictive Visibility Beyond Tier 1: Moving past simple track-and-trace. True resilience requires mapping out how weather events three states over will impact infrastructure, labor availability, and warehouse productivity downstream.
Climate as a Network Design Parameter: Historically, networks were designed almost purely around labor costs, tax incentives, and transit times. Network optimization models must now ingest historical climate data and predictive models as core constraints when choosing warehouse locations and routing strategies.
As the current El Niño cycle threatens to further scramble global rainfall and temperature patterns, the old playbook of waiting out the storm is officially obsolete. Volatility is the new baseline, and the competitive advantage belongs to the networks built to flex.
The post From Deluges to Dry Beds: How Extreme Weather is Rewriting Logistics Strategy appeared first on Logistics Viewpoints.
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Defense Drones Are Becoming an Industrial Supply Chain Race
Published
8 heures agoon
13 juillet 2026By
Ondas’ acquisition of DZYNE shows why competitive advantage in autonomous systems is shifting from technical demonstrations toward component security, modular design, manufacturing scale, and supplier integration.
The defense-drone market is moving from technical experimentation to industrialization.
Companies still need better aircraft, autonomy software, sensors, communications systems, and counter-drone technologies. But as governments prepare to purchase autonomous systems in much larger quantities, competitive advantage will increasingly depend on a different set of capabilities: securing components, expanding production, integrating acquired technologies, and supporting rapidly changing products at scale.
Ondas Holdings’ acquisition of DZYNE Technologies is an indication of that shift.
Ondas announced on July 6 that it had acquired DZYNE, a developer and manufacturer of autonomous aerial systems, surveillance platforms, and counter-UAS technologies. The transaction expands an Ondas portfolio that already includes automated drone operations, autonomous platforms, and systems designed to detect and counter unauthorized aircraft.
The immediate story is one of defense-technology consolidation. The more consequential story is industrial.
As demand for lower-cost autonomous systems grows, success will depend on more than which company develops the most advanced drone. It will depend on which companies can construct resilient supplier networks, standardize components, increase production volumes, manage product complexity, and adapt designs as technologies and operating requirements change.
The defense-drone race is becoming an industrial supply chain race.
From Technical Demonstration to Industrial Production
Defense technology companies have become highly effective at demonstrating new capabilities.
A startup can design a sophisticated autonomous aircraft, complete successful flight tests, and secure an initial government contract. That does not necessarily mean the company can produce thousands or tens of thousands of systems reliably and economically.
Scaling production introduces a different set of challenges.
Manufacturers must secure motors, batteries, cameras, processors, communications modules, navigation systems, electronic assemblies, composite materials, permanent magnets, and specialized sensors. Defense applications may also require component traceability, cybersecurity controls, approved suppliers, domestic-content compliance, and production processes that differ substantially from those used in commercial markets.
A technically successful platform can therefore encounter the same constraints seen across automotive, aerospace, electronics, and industrial-equipment supply chains: long lead times, limited supplier capacity, single-source dependencies, inconsistent quality, and inadequate visibility below the first tier.
Those risks become more serious when demand increases quickly.
The proposed fiscal year 2026 defense budget requested $13.4 billion for autonomy and autonomous systems, including $9.4 billion for unmanned and remotely operated aerial vehicles. The request illustrates the size of the potential demand signal now forming around autonomous defense systems.
Large procurement budgets, however, do not automatically create the industrial capacity required to fulfill them.
A Drone Is Also a Network of Supply Chain Dependencies
The relative simplicity and low unit cost of some small drones can obscure the complexity of the industrial base behind them.
Compared with a conventional military aircraft, an individual drone may be inexpensive and comparatively easy to assemble. Yet its components may come from a globally dispersed and highly concentrated supplier network.
Dependencies can include battery materials, electric motors, rare-earth magnets, semiconductors, carbon-fiber materials, communications equipment, cameras, circuit boards, and lower-level electronic assemblies.
These dependencies create both commercial and strategic risks.
A manufacturer may be able to obtain components economically under normal market conditions but lose access when export controls, trade restrictions, geopolitical tensions, or competing domestic demand intervene. The unavailability of a relatively inexpensive motor, magnet, sensor, or battery component can delay delivery of an entire system.
Research from the Center for Strategic and International Studies has identified rare-earth magnets, carbon-fiber materials, lithium-ion inputs, semiconductors, and other upstream materials as potential chokepoints in the drone industrial base. The analysis also highlights the lack of visibility below many first-tier defense contractors.
The implication is significant.
The strategic value of a drone manufacturer is not limited to its aircraft designs, software, or patents. It also includes its qualified supplier base, access to critical materials, manufacturing processes, contract-production relationships, testing infrastructure, and ability to replace unavailable components without redesigning the entire system.
These capabilities are harder to see than a successful flight demonstration, but they may ultimately determine which companies can deliver at scale.
M&A as Industrial Integration
The Ondas-DZYNE transaction reflects a broader effort to assemble complementary autonomous-system capabilities within larger corporate platforms.
DZYNE adds long-endurance aircraft, smaller autonomous systems, surveillance capabilities, counter-UAS technologies, modular airframe expertise, and established defense-customer relationships. Ondas brings additional autonomous platforms, drone infrastructure, security applications, and corporate resources.
The strategic logic extends beyond expanding the product catalog.
An integrated company may be able to combine engineering teams, share software architectures, consolidate suppliers, increase purchasing leverage, coordinate manufacturing investment, and offer customers a broader group of interoperable systems.
It may also be able to spread the costs of compliance, testing, cybersecurity, government contracting, and business development across a larger revenue base.
These potential advantages are especially important in a market where individual products may change rapidly.
The successful autonomous-defense company may not be the one with a single dominant aircraft. It may be the company with an industrial architecture capable of supporting several types of systems while reusing common components, software, communications technologies, manufacturing processes, and supplier relationships.
That begins to resemble a supply chain platform rather than a traditional aerospace program.
Modular Architecture Becomes a Supply Chain Capability
Autonomous systems are evolving much faster than conventional defense platforms.
New processors, sensors, communications technologies, electronic-warfare systems, navigation capabilities, and software functions can emerge within months. A design optimized for one operating environment may quickly require a different payload, communications module, navigation system, or method of avoiding interference.
Manufacturers therefore need product architectures that support rapid change.
A modular design can allow a company to replace a sensor, processor, battery, motor, or communications module without redesigning the entire aircraft. Standardized interfaces can also make it easier to qualify alternative suppliers when a component becomes unavailable or fails to meet cost, security, or performance requirements.
This is both an engineering strategy and a supply chain strategy.
Modularity can reduce dependence on individual components, support multisourcing, simplify product upgrades, and separate stable elements of a platform from technologies that will change frequently.
It can also reduce the disruption created by export restrictions, obsolescence, supplier failures, and sudden increases in demand.
Companies that manage this effectively will be better positioned to balance technological innovation with manufacturability. Those that do not may find themselves repeatedly redesigning products around unavailable components or operating separate, inefficient supply chains for every platform they develop or acquire.
Consolidation Does Not Automatically Create Scale
Acquisitions can create the appearance of industrial scale without delivering it.
Combining several autonomous-system companies may produce a broad technology portfolio, but it can also create duplicated suppliers, incompatible software, fragmented engineering practices, overlapping products, and multiple low-volume manufacturing processes.
The most important post-acquisition work will therefore occur well below the level of the corporate announcement.
Management will need to determine which components can be standardized, which suppliers can support higher volumes, which manufacturing processes can be shared, and which products should remain operationally independent.
It will also need to decide where vertical integration provides a meaningful advantage.
Some components may be strategically important enough to manufacture internally. Others may be better obtained from specialized suppliers. Still others may require domestic or allied capacity that does not yet exist at an acceptable cost or volume.
The strongest consolidators will not simply accumulate technologies. They will rationalize the industrial systems behind them.
That will require common product-development standards, shared supplier data, coordinated sourcing, manufacturing visibility, and disciplined decisions about which platforms continue to receive investment.
Without that integration, a larger portfolio may simply create a larger collection of low-volume supply chains.
Procurement Must Change Alongside Manufacturing
Manufacturers are only one side of the industrial equation.
Government procurement systems must also adapt to a market in which technologies change quickly and production volume may matter as much as the performance of an individual platform.
Traditional defense purchasing can take years to define requirements, evaluate contractors, select a platform, and establish a long-term program. That approach is difficult to reconcile with autonomous systems that may require frequent software updates, component substitutions, or redesigns based on operational feedback.
The fiscal year 2026 budget discussion itself acknowledged the need for more agile funding across unmanned systems, counter-UAS, and electronic warfare because the technologies and available industry capabilities are evolving rapidly.
The challenge is to increase speed without abandoning security, quality, traceability, interoperability, and operational reliability.
That may require shorter purchasing cycles, continuous testing, modular requirements, larger pools of qualified suppliers, and contracts that allow systems to evolve after initial deployment.
It may also require buyers to evaluate vendors differently.
A successful technical demonstration remains important. But procurement decisions may need to place greater weight on production readiness, supplier resilience, component provenance, manufacturing yield, workforce capacity, and the ability to sustain deliveries over time.
The ability to build 100 systems is not evidence that a company can build 10,000.
Domestic Production Is Both an Economic and Security Objective
U.S. policy increasingly treats domestic drone manufacturing as both a commercial-industrial priority and a national-security concern.
A June 2025 executive order called for expanding domestic drone production, reducing reliance on foreign sources, strengthening critical supply chains, prioritizing compliant American-made systems, and securing the supply chain against foreign control or exploitation.
The objective is clear. Execution will be difficult.
Rebuilding domestic capacity involves more than opening final-assembly plants. A drone assembled in the United States may still depend on imported batteries, motor magnets, semiconductor devices, imaging systems, circuit boards, or raw materials.
A durable domestic strategy must therefore look several tiers into the supply chain.
It must identify which dependencies create unacceptable risk, where allied sourcing is sufficient, where domestic production is economically feasible, and where strategic inventories or long-term purchasing commitments may be necessary.
Demand visibility will be essential.
Suppliers are unlikely to invest in new factories, tooling, automation, and specialized labor based on a sequence of small or uncertain contracts. Government customers may need to provide clearer multiyear demand signals while preserving enough flexibility to avoid locking procurement into technologies that become obsolete.
This creates a difficult balance between scale and adaptability.
Manufacturers need stable demand to invest in capacity. Buyers need enough flexibility to incorporate new technology. The industrial model must support both.
The Emerging Competitive Model
The next generation of autonomous-defense companies will compete across several dimensions simultaneously.
They will compete on technology, but also on cost, speed, manufacturability, component availability, software integration, supplier resilience, and production capacity.
They will need to manage product development like technology companies while operating supply chains more like automotive, electronics, or industrial-equipment manufacturers.
That combination will favor companies capable of building common architectures across multiple systems.
It will also favor companies that can convert acquisitions into operational integration rather than allowing each acquired business to remain a separate collection of products, suppliers, engineering standards, and manufacturing processes.
The Ondas-DZYNE transaction is unlikely to be the last of its kind.
As autonomous systems move from specialized programs toward broader deployment, larger companies will continue acquiring technologies, engineering talent, production capabilities, and supplier relationships that would take years to build internally.
But assembling a portfolio is not the same as building an industrial system.
The winners will be the companies that standardize components, rationalize suppliers, design for substitution, integrate manufacturing, and convert rapidly changing technology into reliable production volume.
The next phase of the defense-drone market will not be determined by innovation alone.
It will be determined by who can industrialize it.
The post Defense Drones Are Becoming an Industrial Supply Chain Race appeared first on Logistics Viewpoints.
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Logistics Viewpoints Expands Its Supply Chain Resource Library
Published
10 heures agoon
13 juillet 2026By
The growing collection now includes strategic white papers, market-research executive summaries, advisory guides, and supplier visibility programs spanning AI, energy, cybersecurity, transportation, warehousing, and global trade.
As of July 2026, Logistics Viewpoints offers more than two dozen downloadable resources for supply chain executives, technology providers, and industry professionals.
The library has expanded beyond traditional market research to include strategic white papers on emerging operating issues, executive summaries covering major supply chain technology markets, guides to ARC Advisory Group research and advisory services, and commercial programs designed to help suppliers reach a targeted industry audience.
Together, these materials provide a practical starting point for organizations evaluating new technologies, assessing market opportunities, strengthening supply chain resilience, or building greater visibility in the market.
Strategic Supply Chain White Papers
The strategic white-paper collection focuses on issues that are reshaping how supply chains are designed, managed, and governed.
AI in the Supply Chain: Architecting the Future of Logistics with A2A, MCP, and Graph-Enhanced Reasoning
This paper examines the emerging architecture behind enterprise AI systems, including agent-to-agent communication, Model Context Protocol, knowledge graphs, and graph-enhanced reasoning.
Download the AI architecture white paper
AI in the Supply Chain: From Architecture to Execution
The second AI paper moves from architecture to deployment. It explores the decision intelligence layer needed to connect AI systems with enterprise data, workflows, governance, and supply chain execution platforms.
Download AI in the Supply Chain: From Architecture to Execution
Oil & Gas in the Supply Chain
Oil and gas remain critical inputs across transportation, manufacturing, agriculture, chemicals, and industrial production. This paper examines how organizations can build more resilient and responsible supply chains amid geopolitical risk, price volatility, infrastructure constraints, and environmental pressure.
Download Oil & Gas in the Supply Chain
Cyber Resilience in the Supply Chain
This paper examines how organizations can strengthen supply chain resilience against cyber threats that extend across internal systems, connected equipment, suppliers, logistics partners, and technology providers.
Download Cyber Resilience in the Supply Chain
Sustainability in the Supply Chain
The sustainability paper explores how companies can balance environmental goals with operational efficiency, resilience, supplier management, and regulatory compliance.
Download Sustainability in the Supply Chain
Energy in the Supply Chain
Energy cost, availability, and reliability influence transportation, manufacturing, warehousing, and network design. This paper considers how supply chains can better manage energy volatility and changing infrastructure requirements.
Download Energy in the Supply Chain
Connected Vehicles and V2X in the Supply Chain
This paper examines how connected vehicles, infrastructure, devices, and logistics platforms may improve transportation visibility, coordination, and responsiveness.
Download the Connected Vehicles and V2X white paper
Market-Research Executive Summaries
The Logistics Viewpoints library also includes executive summaries of major supply chain software and automation markets. These downloads provide concise introductions to market structure, technology capabilities, adoption patterns, and competitive dynamics.
Available summaries include:
Supply Chain Planning Global Outlook
Transportation Management Systems
Transportation Execution Systems
Automated Storage and Retrieval Systems
Omnichannel Order Management Systems
Global Trade Management Solutions
Global Trade Compliance Systems
Supply Chain Management Market Opportunity
These resources are particularly useful for executives seeking a concise overview before beginning a more detailed technology evaluation or market assessment.
Research and Advisory Guides
Organizations that require deeper analysis can also download guides describing ARC Advisory Group research and advisory services.
Custom Market Research Guide
This guide explains how tailored research can support market sizing, competitive analysis, customer research, technology assessments, and strategic planning.
Download the Custom Market Research Guide
Annual Contract Advisory Service Overview
The annual advisory service provides ongoing access to analysts, market insight, research, and strategic guidance.
Download the Annual Contract Advisory Service Overview
Voice of the Customer Survey Guide
This guide explains how structured customer research can help suppliers understand buyer priorities, customer satisfaction, market perception, and unmet needs.
Download the Voice of the Customer Survey Guide
Standard Market Research Report Guide
This guide outlines the structure, methodology, and business applications of ARC Advisory Group’s standard market research reports.
Download the Standard Market Research Report Guide
Sponsorship and Supplier Visibility Programs
Logistics Viewpoints also offers several programs for technology providers and service companies seeking greater visibility among supply chain executives.
Available program guides include:
Logistics Viewpoints Sponsorship Program
ARC Industry Forum Sponsorship
These programs combine industry content, analyst participation, and targeted audience access to help suppliers communicate their market position and expertise.
A Broader Supply Chain Knowledge Platform
The expansion of the Logistics Viewpoints resource library reflects a broader shift in the publication’s role.
Logistics Viewpoints remains an editorial platform covering supply chain technology, market developments, and operating strategy. The growing download library extends that role by giving readers access to more structured research, strategic frameworks, market summaries, and practical service guides.
Executives can use the library to explore emerging issues such as artificial intelligence, cyber resilience, energy, and connected transportation. They can also access established research on planning, transportation, warehousing, automation, order management, and global trade.
Technology suppliers can use the commercial guides to evaluate available research, advisory, webinar, podcast, sponsorship, and supplier visibility opportunities.
The collection will continue to expand as new white papers, market summaries, and program materials are published.
Readers can visit the Logistics Viewpoints White Papers library for the latest additions.
The post Logistics Viewpoints Expands Its Supply Chain Resource Library appeared first on Logistics Viewpoints.
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