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Logistics Viewpoints is offering a free executive summary of its market research report on Transportation Management Systems (TMS) , a core solution for managing today’s increasingly complex logistics and freight operations.
Autonomous delivery vehicles (ADVs) are bringing significant changes to last-mile logistics, an essential component of the supply chain. With the rising demand for faster and more cost-effective deliveries, ADVs are becoming a viable solution to a variety of logistical challenges.
In the rapidly evolving world of global supply chains, interoperability—the ability of systems, devices, and organizations to work together seamlessly—has become a critical factor for operational efficiency. Technologies like RFID (Radio Frequency Identification) and Bluetooth facilitate data exchange between devices. •
Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability. In an increasingly competitive logistics landscape, these capabilities allow companies to remain agile and cost-effective.
For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. This guide is ideal if you: Want to understand the concept of mathematical optimization.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Addressing Energy Challenges in Logistics The logistics sector is a significant contributor to greenhouse gas emissions.
Pledge) , including its global supply chain sustainability solution for beneficial cargo owners (BCOs), enterprise supply chain leaders and logistics service providers (LSPs). Pledge provides software solutions to empower enterprise supply chain teams and LSPs to meet their sustainability goals and Scope 3 emissions reporting requirements.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
As automation continues to evolve in logistics, two technologies are becoming central to modern delivery methods: autonomous drones and autonomous vehicles. However, each technology serves different purposes within logistics, and the question remains: Which will ultimately shape the industry’s operational structure?
Logistics Service Providers (LSPs) have a lot on their plate. In response to the growing complexity of the modern global supply chain, logistics service providers are embracing digital supply chain solutions powered by new IoT tracking technologies and data analytics. How can the modern LSP stay competitive in the age of IoT?
The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. AWS , Google , and Microsoft are also investing heavily in custom AI chips to reduce their dependence on NVIDIA and optimize performance and cost.
Over the past decade, Warehouse Management Systems (WMS) have evolved from simple systems of record into the operational nerve center of modern distribution. A next-gen WMS must act as a multi-agent control tower, intelligently managing the handoff between these agents to avoid bottlenecks and optimize throughput.
Blue Yonder continues to demonstrate its commitment to sustainability with its latest acquisition of a UK-based Pledge Earth Technologies (Pledge). Pledge provides supply teams and logistics providers (LSPs) with accredited emissions measurement and reporting capabilities.
The collaboration combines Shipium’s end-to-end logisticsplatform with ClearJet’s sortation systems and predictive logistics, offering real-time transit visibility, scalability, and cost-effective delivery solutions.
Today’s question becomes: How do you leverage data to automate and optimize across the full order lifecycle? The "TMS+" approach is more than a standalone Transportation Management System (TMS). In this paper we discuss why a holistic “TMS+” approach is integral to success in the new normal and beyond.
With freight transport accounting for a significant share of global emissions, efforts to improve logistics now extend beyond operational metrics to include resilience, regulatory compliance, and climate performance. AI is playing an increasingly pragmatic role in optimizing supply chain operations.
Source: mainebiz.biz In today’s rapidly evolving logistics and supply chain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. Overview of Warehouse Robotics Warehouse robotics represent a revolutionary advancement in the logistics and supply chain sector.
Schneider Electrics latest initiative emphasizes how AI-native software can streamline sustainability efforts across complex supply chain and logistics networks. This new platform will function as both a command center and coordination layer for enterprise sustainability.
This week’s headlines reveal a logistics industry caught between two worlds: one still hampered by legacy systems and regulatory bottlenecks, and another rapidly evolving into a landscape defined by real-time orchestration, intelligent automation, and hardened digital trust. The transformation begins at the warehouse.
Speaker: Robert Olszak- Vice President, Global Supply Chain Optimization, RGP
As a supply chain director, you want to ensure that your supply chain network can withstand any disruptions and be optimized for peak performance. The global logistics market is growing, and companies need to prepare for the next generation of supply chain management.
In todays hyperconnected supply chain environment, the Internet of Things (IoT) is the operational backbone for visibility, optimization, and automation. Why Logistics Demands Hybrid Connectivity Logistics environments are inherently heterogeneous. Core Components of a Hybrid IoT Network in Logistics 1.
Orchestration – the real-time coordination of supply, logistics, and demand – is becoming the new standard. Teams are moving away from static spreadsheets and toward systems that support continuous modeling and real-time scenario analysis. AI enables faster, more confident decision-making. Boards want more than dashboards.
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. Achieving these goals requires visibility into the entire supply chain.
The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery. How to Navigate the Chaos of Trade Disruption with the Cynefin framework, AI and Optimization. Do you really know what your production assets contain?
Speaker: Cathy Morrow Roberson, Research Manager for the Reverse Logistics Association
Businesses need to leverage advanced tracking systems and data analytics to identify bottlenecks and improve supply chain visibility. Efficient return management stands as a crucial strategy for optimizing the supply chain.
Supply Chain & Logistics News (October 28th – 31st) A day late but, Happy Halloween! Now let’s get to the Supply & Logistics News for the week: Third Wave Automation Raises $27 Million in Series C Funding Led by Toyota’s Woven Capital Union City, Calif. billion dollars on Halloween candy this year.
Technology Integration : Use of technology in logistics, inventory management, and supply chain tracking has helped improve efficiency and transparency. Amul is one of the first FMCG firms in India to employ internet technologies to implement B2C commerce. through net-enabled kiosks in the villages.
Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective. I’m responsible for the overall digital transformation, including technology. But then it very quickly evolved into a full intelligence platform.
Global logistics and shipping provider Maersk has begun the roll-out of its new digital connectivity platform, OneWireless, aboard 450 vessels to enable smart container and cargo tracking solutions. The OneWireless platform includes components from technology partners Onomondo, Nokia, 42com Sat, Complea, and Zededa.
The introduction of automated test technology drives the optimization of supply chain expenditures leveraging forward & reverse logistics paths. Adopting innovative test automation tools addresses these challenges by providing robust solutions for testing the interoperability, performance, & security of connected devices.
In today’s interconnected global economy, sustainability within supply chains and logistics has become a necessity rather than an option. Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact. Reducing carbon emissions is a cornerstone of this effort.
Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. All of this points to a larger issue: systems that perform well under stable conditions but lack the flexibility to respond when those conditions change. Cultural alignment is just as important.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So
The Warehouse Management System market nearly grew by $1 billion in 2024, following a robust four-year climb since the pandemic. E-commerce giants like Amazon, Alibaba, Temu, and Shein are expanding their global warehouse footprints, driving the adoption of WMS to manage inventory, reduce lead times, and optimize last-mile delivery.
Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!
From balancing cost-efficiency with ethical sourcing to enhancing transparency and integrating corporate social responsibility (CSR), businesses face mounting pressure to align their operations with sustainability, technology, and energy practices. The energy sector provides a compelling example of CSR-driven compliance.
Digital infrastructure is now integral to logistics execution. AI Deployment in Operational Context Artificial intelligence has become a common feature in supply chain systems, though the depth of adoption varies widely. Inventory Placement and Fulfillment Optimization Amazon’s forward-deployment model is often cited as a benchmark.
Home Making Logistics Data Actionable: Insights from Freightos and Gryn July 7, 2025 Blog Data is the backbone of efficient decision-making. However, transforming raw data into actionable insights remains a significant challenge for many logistics organizations. So there are so many standalone solutions in different companies.”
Among the most impactful technologies supporting this shift are Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs). These systems are increasingly used to improve internal logistics, address labor challenges, and support responsive, data-driven operations. AGVs vs. AMRs: What’s the Difference?
The sessions provided clear insights into the company’s strategic direction, technology roadmap, and leadership transition—highlighting a focus on platform unification, practical AI deployment, and long-term operational alignment.
Most effective AI implementations today are designed to improve decision-making, reduce routine tasks, and increase operational efficiency through human-in-the-loop systems and decision support tools. Human-in-the-Loop Systems: AI as a Support Layer In supply chain operations, AI is rarely deployed to act independently.
However, logistics managers cannot deliver against todays goals with yesterdays TMS systems. To achieve traditional supply chain outcomessuch as reducing costs and managing lead timesTMS systems generate insight and foresight into these metrics during planning and execution processes.
Skip to content The Network Effect Beyond Supply Chains Menu Home Business Networks Supply Chain Management Logistics Resilience AI About Submit a Post Are Micro Fulfillment Centers the Next Frontier in Retail Logistics? According to Takeoff Technologies, robotic MFCs can pick items up to 10x faster than human workers in-store.
Geopolitical instability, extreme weather, labor shortages, and fluctuating consumer demand regularly impact global logistics. They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks.
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