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
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.
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.
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.
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. Transport Layer: Ensures dependable data transfer. These seven layers are: 1. Network Layer: Manages data routing.
Most found themselves ill-prepared for the magnitude of disruption in supply and demand, followed soon after by political unrest, labor and material shortages, and sharp inflation. The "TMS+" approach is more than a standalone Transportation Management System (TMS).
E-commerce demands, trade pressures, and increasingly complex supplier networks have necessitated executives to raise concerns about their supply chain operations. Supply Chain Planning (SCP) is a critical component of Supply Chain Management (SCM), starting with the accurate forecasting of customer demand.
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.
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
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.
The transportation, logistics, and energy storage sectors are undergoing profound transformation, driven by rapid technological advancements, evolving consumer expectations, and the global pursuit of sustainability. For instance, global EV adoption is projected to reach 40% of total vehicle sales by 2030, according to BloombergNEF.
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?
Safety Stock: Navigating Supply Chain Volatility Through Strategic Inventory Planning Demand volatility represents a critical challenge for supply chain executives today, with safety stock emerging as a key strategic tool to mitigate market uncertainties.
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. Road freight alone accounts for approximately 7% of global CO2 emissions, with maritime and air transport further amplifying the environmental burden.
AI Deployment in Operational Context Artificial intelligence has become a common feature in supply chain systems, though the depth of adoption varies widely. Among Tier 1 retailers and logistics service providers, AI is embedded in planning, inventory control, and exception resolution. shifting macroeconomic indicators).
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.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Sudden and significant changes in demand, especially in consumer markets, stack up more challenges, requiring order revision and reallocation.
I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
Autonomous systems are becoming an integral part of modern logistics infrastructure. The convergence of robotics, artificial intelligence, and sensor technologies is enabling new levels of automation in both warehouse operations and last-mile delivery. Robotics-as-a-Service (RaaS) models further reduce capital investment barriers.
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.
AI is not a new technology in the supply chain realm; it has been used in some cases for decades. Optimization is used in supply planning, factory scheduling, supply chain design , and transportation planning. Demand planning engines have natural feedback loops that allow the forecast engine to learn.
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.
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.
Supply Chain Knowledge and Risk Mitigation: Suppliers have a direct impact on direct spend with raw material and transportation costs as two big drivers of operating margins. An example of this is Vendor Management Inventory and Capacity Collaboration for contract manufacturing.
His keynote address highlighted the company’s recent accomplishments, such as the introduction of a new inventory planning solution, substantial investments in research and development, and advancements in artificial intelligence. The company has also focused on AI integration, with AI agents now available on their platform.
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. The transactions are captured in the platform, eliminating “he said, she said” type arguments. Those types of disagreements disappear in a SCCN 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.
Meeting Demand Surges in the Restaurant Supply Chain Peak demand days—such as National Hamburger Day or Super Bowl Sunday—create major stress on restaurant and foodservice logistics. grinding beef into burger patties) and transport finished goods to restaurant hubs and restaurants.
While ProMat has always been a showcase of cutting-edge technology, the 2025 edition felt particularly focused on solutions designed to alleviate the strain on human capital, with robotics taking center stage as a powerful and increasingly viable answer.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Predictive and prescriptive AI addresses use cases like inventory optimization, asset health predictions, yield optimization, and financial forecasting. RPA automates manual and repetitive tasks.
Traditional systems—many of which were designed decades ago—struggle to meet today’s operational demands. In response, a new generation of digital supply chain technologies has emerged, centered around a network-based architecture and powered by artificial intelligence (AI) and machine learning (ML).
Regulatory demands, rising consumer expectations, and global challenges such as climate change and social inequality have made sustainable practices a strategic priority. Transportation, warehousing, and manufacturing collectively contribute significantly to carbon emissions, making these areas critical for meaningful change.
One essential tool used by the supply chain team is supply chain design. Building automation is similar to industrial automation, except that instead of controlling a factory, the systems control a building’s entry, power consumption, and lighting. Supply chain design can be a valuable tool for driving sustainability.
This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. We are a platform. The platform collects data and makes sure the master data is internally consistent.
Download Executive Summary Automated Storage & Retrieval Systems (AS/RS) – Cube-based storage, shuttles, unit-loads — we break down the systems revolutionizing storage efficiency. Download Executive Summary Global Trade Compliance (GTC) Systems – Navigate compliance with smarter tech.
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.
Modern supply chain operations demand exceptional efficiency in order to achieve market competitiveness. The global logistics industry undergoes transformative change because of technological developments which enhance delivery services from last-mile operations to worldwide freight management.
From May 19 to 21, 2025, CeMAT Southeast Asia and LogiSYM Asia Pacific were co-located for the second consecutive year at Singapore EXPO, creating a comprehensive platform for the regions logistics and supply chain community. Chinese robotics companies featured prominently, including Geek+, Syrius Technology, Seer Robotics, and Bluesword.
This article will examine the challenges Belcorp faced with managing its extensive product range and complex supply chain and how our solution set, which includes Service Optimizer 99+ (SO99+), Demand Planning, and the Multi-Echelon Inventory Optimization (MEIO) model, transformed their operations. It played out as follows.
Businesses are responding with production shifts, supply chain diversification, inventory stockpiling, and trade route adjustments in efforts to lessen the financial burden and avoid long-term instability. Retailers and e-commerce giants like Amazon are stockpiling key inventory, preparing for potential further trade restrictions.
IBP balances what can be produced against projected demand. A supply chain planning application is the core technology that enables robust planning. Agile planning is short-term planning that allows companies to flex to meet market demands. million transactions that impact supply chain operations occur every day on the platform.
Milk Processing : After collection, milk is transported to regional processing plants, where it is pasteurized and packaged. Technology Integration : Use of technology in logistics, inventory management, and supply chain tracking has helped improve efficiency and transparency. through net-enabled kiosks in the villages.
He has held leadership roles such as Vice President of Linehaul & Central Dispatch Operations at Yellow, Director of Network Operations at YRC Freight, and various operational and sales leadership positions with both YRC Freight and Roadway Express over the course of his well established transportation career. on-time performance rate.
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
In addition, other infrastructure repairs which impact freight transportation in and around Ashville, North Carolina are still not completed. These events impacted everything from facility operations and transportation routes to energy costs and inventory management. tallying a staggering $182 billion in damages.
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