This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
As global supply chains grow more complex and customer expectations skyrocket, Transportation Management Systems (TMS) have become a strategic linchpin for companies aiming to stay competitive. The post Transportation Management Systems: The Digital Backbone of Modern Logistics appeared first on Logistics Viewpoints.
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. Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable. billion in funding.
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 is a single, unified network designed to support multiple wireless technol-ogies (NB-IoT, Cat-M, and LTE broadband).
Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability. Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management.
The environment is marked by heightened demand and expectations, compounded by challenges such as rising input prices, supply chain disruptions and geopolitical tensions. While some embrace cutting-edge tools like AI and blockchain for global trade functions, others lag in technology adoption.
This complexity has introduced gaps in visibility and responsiveness that traditional systems werent designed to handle. It is not a technology on its own, but rather a process that combines planning, execution, and monitoring through integrated tools and workflows.
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. These automated systems, powered by sophisticated technologies like artificial intelligence (AI) and machine learning, offer unparalleled efficiency and precision.
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. We have evolved Blue Yonder from being a traditional demand and supply planning solution.
CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management. Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency.
In the face of volatile macroeconomic conditions and other complex challenges, supply chain and procurement pros must strike a tough balance between seemingly contradictory demands: boosting performance and sustaining and extending business operations, all while meeting customers’ needs.
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal.
Unexpected challenges like shifts in global markets, economic upheaval, commodity shortages, advancements in technology, or environmental changes can send shockwaves through operations in unexpected ways. Probabilistic Demand Forecasting represents a paradigm shift in supply chain planning. On average, our customers achieve: 99.9%
Most supply chain and logistics teams have recognized that the only way to combat todays incredible level of uncertainty is by adopting and applying digital tools. The pace and scope of supply chain disruption are beyond human cognition, manual analysis, and consumer-grade spreadsheet tools. billion in 2023 to $13.3
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
Supply chains need tools that elevate decision-making and boost ROI as well as respond effectively to demand fluctuations, customer preferences, and competition. What can be done to not only address these challenges, but overcome them?
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. Further, AI-driven demand sensing allows businesses to combine scattered data which is essential for better forecast accuracy. Fortunately, this is starting to change.
With the rising demand for faster and more cost-effective deliveries, ADVs are becoming a viable solution to a variety of logistical challenges. These technologies ensure that the vehicle can avoid obstacles, follow traffic rules, and make decisions about its environment.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supply chain management software. In conventional supply chain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.
Customs and Border Protection’s systems not fully validating duty calculations on complex lines (which now describes virtually all transactions), brokers face heightened audit risks and potential penalties. Client Service Demands : Importers need more guidance than ever, creating additional service demands.
Speaker: Patrick Dempsey and Andrew Erpelding of ZoomInfo
Find and connect with the right talent to fill roles fast with these tools: More data! Advanced search: Narrow the search to find candidates using specialized filters like education, and current company technologies. Watch this On-Demand Webinar today to see how ZoomInfo for Recruiters can work to get you talented candidates results.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Concepts like GenAI Assistants and Agents were presented, offering conversational interfaces and on-demand analysis. RPA automates manual and repetitive tasks.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. They offer softwaresystems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes.
A hybrid IoT network is an architecture that blends multiple wireless (and sometimes wired) communication technologiessuch as Wi-Fi, Bluetooth, LoRaWAN, NB-IoT, LTE/5G, Zigbee, and satelliteinto a cohesive system. Why Logistics Demands Hybrid Connectivity Logistics environments are inherently heterogeneous.
S&OE provides an early warning system that helps business stakeholders sense and optimize their responses. This keeps the supply chain out of firefighting mode, smoothens relationships with customers and suppliers, and helps sustain margins by reducing the cost to serve. How S&OE is different from S&OP & the gap that exists.
Bill is the Founder & CEO of OneRail , a leading omnichannel fulfillment solution pairing best-in-class software with logistics as a service that provides dependability and speed to help businesses meet their delivery promise. Bill is a start-up entrepreneur focused on developing and commercializing real-time technology networks.
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.
At the recent ARC Forum 2025, Rachelle Howard, Director of Manufacturing Systems Automation and Digital Strategy, showcased how Vertex strategically blends advanced technology with a strong people-focused culture to boost manufacturing and supply chain agility. However, technology was only part of the story.
An interview with Logility’s President and CEO, Allan Dow, for the Executive Platforms’ “The Blueprint” Podcast. From geopolitical instability to labor shortages and sustainability demands, supply chain leaders must continuously evolve their strategies to stay competitive. It’s not just about getting insights anymore.
This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. This report is useful if you are interested in: Exploring new network design insights and capabilities. Industry benchmarks.
As technologies like artificial intelligence (AI) gain traction, the focus has remained on practical applications that yield incremental improvements rather than wholesale infrastructure change. AI-supported systems can consolidate and standardize emissions data, helping organizations comply with evolving disclosure frameworks.
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.
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demand forecasting solutions can reduce forecast errors by 30% to 50%. The company recognizes over 200 micro-climates within the U.S.
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. Regulatory Demands: Governments worldwide are enforcing stricter emissions standards and introducing carbon taxation schemes, pressuring companies to adapt.
The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities.
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. He also noted that the company had rewritten 28 different planning applications onto one platform.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
Business leaders see the open sharing of feedback on software as too risky. How can I improve the process of software selection? How can I improve the process of software selection? Buying supply chain planning software is hard. Many technologies (I count six) are missing, and most of the ratings are just wrong.
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.
The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming. In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers.
Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. For instance, suppliers have early visibility into commodity pricing and demand trends for metals across multiple customers which may identify potential supply constraints.
Alerts and notifications from email, social channels, home devices, shopping apps and other platforms compete for our attention, creating an overwhelming stream of information. These technologies and techniques generate insights that help organizations move from reactive to proactive decision-making.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” The reason?
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. These plans are created by: Predicting a range of uncertainty across demand, supply and disruptions, and then create range-based policies to quickly respond to these changes.
Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".
We organize all of the trending information in your field so you don't have to. Join 102,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content