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. has over 450,000 warehouses and distribution centers, with 16.4 AMRs operate with autonomy, navigating complex environments using real-time data.
Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.
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. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Now companies are trying to collect data from multiple tiers of a supply chain in near real-time. Decisions need to be digitized.
Succeeding in this environment requires a modern approach to data – one that continuously funnels real-time information from suppliers, partners, warehouses, and stores to analytics for instant insights that enable immediate, informed action. 4 ways Active Intelligence transforms supply chains. 4 customer success stories.
Our daily lives are inundated with data. Supply chain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. Why Context Matters Context transforms data into actionable insights.
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. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
This years exhibition, held from March 17th to 20th, resonated with a palpable urgency, driven by a challenge that casts a long shadow over the industry: the persistent and intensifying labor shortage in warehousing and logistics.
Warehousing is an essential part of the global supply chain. Warehousing plays a critical role in the success of businesses across various sectors. It would be nice to know how many warehouses there are and how fast these numbers are growing. Retailers, manufacturers, and distributors own more warehouses than 3PLs.
But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. Key topics covered: Eliminating friction points and coping with the continual disruptions through a modern data strategy approach.
Dexory, the robotics and data intelligence company announced it has closed an $80 million Series B funding round. The company has demonstrated substantial growth since the first commercial launch of their autonomous warehouse robots and software platform for the logistics space 18 months ago.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
The Ecosystem Today The logistics ecosystem is being transformed by the rise of connected vehicles equipped with IoT sensors and data-driven technologies. These vehicles collect and transmit real-time data on location, speed, fuel consumption, and cargo conditions, enabling more dynamic decision-making.
Dynamic Pricing: Real-time data from decentralized oracles (such as Chainlink) can adjust contract terms based on market prices or demand fluctuations. How Smart Contracts Improve Logistics IoT-Enabled Tracking: Sensors on shipping containers continuously log real-time data (e.g., Solution: Layer-2 scaling solutions (e.g.,
Speaker: Adam Robinson, Director of Marketing, Cerasis
Improved Picking & Warehouse Efficiency thanks to Picking Autonomous Mobile Robots & Voice Commands. Using Automation Driven Data for Improved Actionable Insights. We’ll address how automation in the supply chain will provide employees with the following: More Strategic Procurement. We look forward to having you at this webinar!
Kudos to the supply chain and logistics teams that have already adopted transportation management systems (TMS), warehouse management systems (WMS), and other digital solutions. They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events.
Secondarily, many of the assets are linear, rather than discrete, requiring different forms of location and measurement data. From the perspective of warehousing and distribution, inventory is related to the assets in the field that distribute power to customers within the region. RFID is utilized for high-value yard/outdoor items.
Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. By 2014, the company had purchased the Coupa solution, developed an internal modeling team, and created data extraction and cleansing routines. This is when the firm hired Mr. Botham.
In today’s fast-paced, hyper-competitive, omni-channel world, warehouses play a critical role in maximizing service and fulfilling the ambitious customer promises that are required today. Warehouses also represent an enormous cost center. Volatile demand means warehouses need to pivot quickly when order volumes change.
This article is from Patrick Byers, DevOps Engineer at Lucas Systems, and looks at fortifying warehouse and distribution centers against cybersecurity attacks. The warehousing and distribution industry is highly reliant on technology for its operations. Why are warehouses and DCs so vulnerable to cyberattacks?
In the age of same-day delivery and rising consumer expectations, there is immense pressure on warehouses to perform at peak efficiency. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
Offering comprehensive solutions, including warehousing, order fulfillment, and inventory management, Launch Fulfillment helps eCommerce brands streamline their supply chains. Client Access & Transparency: Provides client access to their shipping data for increased transparency and decreased administrative overhead.
Andy Johnston and Joe Lynch discuss modernizing the warehouse. Key Takeaways: Modernizing the Warehouse In the interview, Andy and Joe discuss labor challenges, wage inflation, competition, and the need to do more with less. With a global network spanning nearly 170 countries and more than 49,400 employees, GEODIS is ranked no.
Mobile inventory management offers a transformative solution, providing the real-time data and streamlined workflows needed to optimize operations and gain a competitive edge. Without accurate, real-time inventory data, businesses operate reactively, constantly playing catch-up. Today, manual methods are simply unsustainable.
In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. Packing efficiently is essential for maximizing storage capacity and minimizing waste in the warehouse.
Blue Yonders warehouse management system solution is their top-selling application. Two years ago, 2 million tasks were sent to the warehouse floor. The companybelieves its Cloud warehouse execution system controls more robots than anyone but Amazon. Both are contributing to a rewiring of the automotive supply chain industry.
Supply chain orchestration is about managing the movement of goods, data, and decisions across the entire supply networkstarting with suppliers and continuing through to the customer. Why Orchestration Matters The more connected a supply chain becomes, the more it depends on timely, accurate data and consistent communication across teams.
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency.
Our daily lives are inundated with data. Supply chain teams face a similar dilemma companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. While the abundance of data is seen as an asset, the real question is: What do you do with it?
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. Integrate with External Tools and Data: AI Agents can augment their inherent language model capabilities with APIs and tools (e.g.,
Organizing a warehouse in 2025 requires blending time tested practices with modern technology. Warehouse managers and manufacturing businesses face a growing demand for rapid order fulfillment across multiple channels, complex production processes, and an unpredictable supply chain. A logical layout is the backbone of efficiency.
Warehouse operators are under constant pressure to do more with less. How much could you save by streamlining your workflows and empowering your team with real-time data? By replacing manual, paper-based processes with digital tools, you can transform your warehouse into a highly efficient, accurate, and connected operation.
A Tier 1 WMS Should be Capable of Complex Optimization ARC Advisory Group does global market research on the warehouse management system market. Warehouse workers work alongside autonomous mobile robots to fulfill orders. The warehouse mobile robot system downloads orders from the WMS for the work that will be done in its zone.
Warehouse performance continues to evolve into a more complex, multi-faceted measure. Warehouse operations historically strived to deliver the perfect order – the right product, at the right price, at the right time. E-Commerce and direct-to-consumer shipping exerted several competitive pressures on warehouses.
CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technology platforms. While they are separate and independently-owned organizations, they agreed with The Coca-Cola Company to come on to a common data platform with common data standards.
In the world of supply chain and logistics, the built environment comes in many forms, from warehouses and logistics parks to the buildings associated with ports and terminals. The IT realm spends a significant amount on cybersecurity and there are many large suppliers that provide solutions for cybersecurity at the IT and enterprise level.
This is where big data technologies come into play. Big data for real-time optimizations in transport logistics. Logistics and transport service providers create enormous data records as they manage the flow of goods. These data include information such as types of goods, location, weight, size, origin, and destination.
This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.
That’s where data analytics comes in. Modern supply chains thrive on real-time data, execution-focused applications, and dynamic decision-making. In this post, we’ll explore how data analytics can revolutionize your supply chain. Demand Forecasting: Analyze past data to predict future needs.
But with the explosion of IoT devices across transportation, warehousing, and distribution, logistics providers face a critical challenge: how to ensure continuous, reliable, and cost-effective communication across diverse physical environments and use cases. Thats where hybrid networks shine.
The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Physical change (i.e.,
This capital will help scale the company’s Shared Autonomy Platform and expand manufacturing for its TWA Reach forklifts, which integrate AI-driven autonomy with human oversight to optimize labor and safety in warehouse operations. The data is accessible to state U.S.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize.
The book goes beyond theoretical concepts and serves as a playbook for crafting data-driven go-to-market strategies. Company specializes in crafting GTM strategies that are grounded in data – backed insights and sophisticated mathematical models. Kara’s achievements extend beyond her corporate success.
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