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To address these issues, companies are adopting innovative strategies, including dynamic route optimization, real-time tracking, and even leveraging emerging technologies like drones and blockchain. Route optimization software plays a significant role in decreasing travel distances and minimizing environmental impact.
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. When tariff changes happen overnight, brokers need technology that can adapt just as quickly. Compliance Risks : With U.S.
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.
In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions. The prevailing strategy was to produce goods in low-cost countries and distribute them globally, optimizing for economies of scale.
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.
manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges.
It allows operations to remain competitive even in unpredictable market conditions and supports a variety of business models and client needs. As businesses grow or enter new markets, they need the ability to redeploy or adapt warehouse systems to minimize downtime and reduce reconfiguration costs.
As anyone who’s experienced change in supply chain technology over the past five-to-ten years can attest, we’ve come a long way, baby. Artificial intelligence, neural networks, machine learning, robotics, mobile apps, big data, the cloud and Software-as-a-Service (SaaS). The software is still under your control.
Digital twins are emerging as digital transformation accelerators for supply chain and logistics organizations seeking enterprise-level visibility, real-time scenario modeling, and operational agility under disruption. These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations.
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?
1: From Support Role to Centre Stage At the point of sale, customers today enjoy an unprecedented degree of choice in the range, price, and quality of products on offer, primarily due to the development of mobile technology, connectivity, and platform-based commerce.
The three traditional methods are the use of a transportation management system (TMS), transportation execution system (TES), and managed transportation services (MTS). For each of these options, software and service providers need to set a clear path for success. Look to the Cloud. Demonstrate a Higher Degree of Competence.
Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications. Examples of automatable processes include Invoice Processing, Sales Order Entry, and Customer Account Creation. RPA automates manual and repetitive tasks.
During the two-day event, I participated in various sessions covering a range of topics, including Warehouse Management Systems, Labor Management, Agentic AI, and Warehouse Automation. He highlighted Manhattan’s unified cloud-native platform, which allows for faster innovation and better customer solutions.
Logistics strategy as an enabler of new business models. They promoted logistics to the level of core process and enabler of new business models and now view a thought-through logistics strategy as an opportunity to stand out by offering a better service level to their customers, such as same-day delivery.
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.
Manufacturers rely on data and their ERP platform to answer critical questions: What are our inventory levels? Here’s an example. Mid-market manufacturers need a tool that’s tailored to their needs. The BI tool needs to be able to easily pull all this data together for analysis.
CONA Services Provides a Common Platform for Supply Chain Collaboration CONA Services LLC is an IT services company owned and governed by the 11 largest Coca-Cola bottlers in North America. CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technologyplatforms.
As digital technologies embed themselves across supply chains, they will inevitably rewire existing business models into industry platforms. The question is not “if” or “when,” but “how” best to anticipate and get ahead of supply chain platform disruptions. The Role and Benefits of Supply Chain Platforms.
Ian Arroyo April 29, 2025 Blog As Freightos’ Chief Strategy Officer, I’ve had the privilege of witnessing firsthand how the logistics industry has transformed since COVID-19 disrupted supply chains worldwide. The Problem with Fragmented Solutions The logistics technology space is undeniably crowded.
Insights from Gartner’s Hype Cycle for Supply Chain Strategy, 2020. Gartner’s Hype Cycle for Supply Chain Strategy, 2020 offers some guidance. The report outlines the tools with the highest transformational benefits and capabilities that are becoming standard business practices. Firefighting is the norm. What to prioritize.
Essential Steps to Using Warehouse ModelingSoftware for Design 1) Understand the Design Objectives and Constraints The first step in your review should be to determine and prioritise the objectives for your warehouse facility and operation. Order and picking profiles should be examined too.
Here are seven proven strategies every supply chain manager should explore to streamline operations, boost efficiency, and drive profitability. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.
Managing available bandwidth efficiently among many connected devices remains a continuing issue, particularly when scaling systems to significant quantities of distributed resources. Optimizing AI models for edge hardware is another area of difficulty. Security strategies have also evolved.
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.
Lean models alone are no longer sufficient. Resilience is the ability to respond to disruption while maintaining core operations, and more companies are shifting their strategies accordingly. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust.
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. As supply chains transition to a more circular and sustainable model, M&A activity in this domain is expected to intensify.
The hype usually revolves around just one item and can easily be managed by a modern logistics system. The warehouse technologies for manual, semi- or fully automatic solutions are perfectly balanced, and all processes run smoothly. Logistics software is your ace in the hand, before, during and after the peaks.
Every ecommerce store relies on an assortment of vital components to survive and thrive, but ecommerce software is the heart of all these elements. Regardless of the size of your ecommerce brand, it doesn’t hurt to periodically reevaluate if the softwaretools you’re using are giving you everything you need.
For senior leaders, understanding and integrating the three pillars of sustainability—environmental, social, and economic—into supply chain strategies is essential. Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact.
As logistics leaders face growing pressure, from tighter delivery windows to environmental mandates, geopolitical instability, and driver shortages, one technology is proving to be a game changer: V2X (Vehicle-to-Everything) communication. This is a working model for connected urban freight corridors.
Manufacturers have adopted innovative solutions and technologies to deal with these issues. Artificial intelligence (AI) and machine learning (ML) in manufacturing ERP have recently added a new realm of technology that can address the complex operations found in manufacturing. What is AI and ML?
I was familiar with GXO as the former logistics segment of XPO and knew about select examples of its warehouse automation investments. But I was not well-informed on the breadth and depth of the company’s warehouse technology investments or the overarching technologystrategy.
Think of it as your supply chain’s immune system. Just as your body needs multiple defense mechanisms to fight off illness, your supply chain needs various strategies to handle disruptions, whether they’re local supplier issues or global crises.
As organizations continue to adapt to the roller-coaster ride of 2020, some leaders’ pre-pandemic IT strategies brought business resilience even as COVID-19 struck. Indeed, some organizations spent several years laying the foundations for data-driven strategy and remote operations even prior to COVID-19.
Uyghur Forced Labor Prevention Act (UFLPA) and the European Unions Forced Labor Regulation (FLR) are prime examples of this tightening framework. The law requires importers to provide clear and convincing evidence of a forced-labor-free supply chain and tasks the Forced Labor Enforcement Task Force with devising enforcement strategies.
Ecommerce carriers [recent market entrants]: Covers a range of operating models, examples include Pandion, X Delivery, AirTerra, Veho, The FrontDoor Collective. Ecommerce Shipping Strategy – build a competitive edge in shipping by delivering the right solution, at the right cost.
One of the most powerful yet underutilized tools for achieving this is decile data analytics. For example , let’s consider a dataset of 100 lawn measurements in a given town. Heres another example. Understanding their trends is crucial for maximizing marketing ROI and driving business growth.
In the enterprise software application market, the biggest players have embraced a partnership model, while smaller, more focused companies often have not. Take the transportation management system (TMS) market, for example. Becoming Partner Centric is Not Easy. The transition is not easy. The answer is no.
4 Accounting for these diverse pricing models to determine the best way to offer fast and affordable shipping to end consumers is a significant challenge for brands. And while a shipping blueprint is highly customized per brand, there are strategies brands can employ to soften the impact and build agility into their fulfillment.
For this reason, it is increasingly common to see companies investing in specific storage models, aligned with their product portfolio and the profile of their target audience. For example: we have the traditional warehouse and the cold storage warehouse. The traditional warehouse model is more conventional and widely used.
By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Instead of static data, AI-powered systems continuously update matrices based on real-time inputs like demand fluctuations and shipping delays.
For this reason, supply chain solutions have become an integral part of business strategies to cope with these ever-increasing complexities. However, there is the difficult question of which technology to implement to make better use of your warehouse. Use of technology. Examples of use. So, how can you tackle this task?
As you’ll know, if you follow our blog regularly, Logistics Bureau does a great deal of work related to supply chain strategy development and alignment. As a result, and as we’ve mentioned in several previously published articles, we’ve discovered that many companies lack a defined and documented supply chain strategy.
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