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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.
If youve followed our blog over the years, youll know that weve shared lots of information about distribution network design, why its vital to get it right, how long it should take, the importance of reviewing the network every so often, and various elements of design such as determining the number of warehouses and where to locate them.
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.
Speaker: Brian Dooley, Director SC Navigator, AIMMS, and Paul van Nierop, Supply Chain Planning Specialist, AIMMS
You have tough decisions to make about your network design. You need answers to urgent network questions, but weeks go by. This on-demand webinar shares research findings from Supply Chain Insights, including the top 5 obstacles that bog you down when trying to improve your network design efforts: Poor data quality.
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?
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.
Killing Ghost Loads and Phantom Data with Michael Darden. Michael Darden and Joe Lynch discuss killing ghost loads and phantom data. Michael is the CEO of DFM Data Corp, a utility company designed to be a tool between digital partners moving freight in the USA and Canada. About DFM Data Corp. DFM Data Corp.
This trend, known as reshoring , is driving the emergence of regionalized freight networks , optimizing supply chains for efficiency, cost savings, and resilience. For logistics professionals, understanding how these changes impact freight networks is critical to staying ahead. Government Incentives for Reshoring The U.S.
Today's supply chains are networked, global ecosystems. The COVID-19 pandemic is an extreme example of how this unfolds in practice. Time allocated to data collection: Data quality is a considerable pain point. How much time do teams spend on data vs. creative decision-making and discussion?
Molex implemented a multi-enterprise supply chain network platform from SAP called SAP Business Network. With PO collaboration, buyers send digital purchase orders over the network to suppliers or other trading partners. The task management in SAP Business Network also helps. But getting there was not easy.
Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.
Business Network Takeaways While Business Network rolls up into the spend management product development organization, the trading partner collaboration this platform covers extends beyond just sourcing. SAP’s Business Network is a supply chain collaboration network.
By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. Top Challenges Faced by Companies: Customer Preferences: Example: An online fashion retailer faces the challenge of constantly changing customer preferences.
Julien is the Vice President of Network Supply Chain at Attabotics , the world’s first 3D robotics supply chain system for modern commerce. Julien Seret is Attabotics ’ Vice President of Network Supply Chain, where he oversees the fulfillment and delivery services business model. Network Supply Chain Animation Video.
Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. They are also limited by their supplier, carrier, and trading partner networks. billion to $23.07
Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric. The supply chain has about 190 factories and 100 distribution centers.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. This setup allows teams to collaborate in real time, sharing video and diagnostic data across geographies. Next lets look at technical capabilities and applications in the domain.
The market is voting with us, not just in terms of having common applications on the same platform, but having those applications connected to a network. The acquisition of One Network in May has been particularly impactful for the TMS product line. Angove said there was great momentum coming into this year. Mr. Tollefson asserted.
A multi-enterprise supply chain networks (MSCN) is a key technology for improved collaboration across an extended supply chain. A MSCN is a collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds.
For a company relying heavily on Contract Manufacturing Organizations (CMOs) and operating across a global, multi-partner network, these improvements translate directly into faster product launches, improved compliance, and greater responsiveness to market demand. However, technology was only part of the story.
This article explores how digital twins are being deployed in transportation, warehousing, and network design. These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations. Thats where digital twins come in. Traditional planning tools often lack the agility to respond in real time.
We run one of the few truly hybrid supply chain networks. We own a significant portion of our network, but we also work extensively with partners. We’ve done a lot of customization, with Blue Yonder’s help, to create a digital twin of our entire supply network. We now have complete visibility of our supply chain.
The COVID-19 pandemic has exposed many risks and uncertainties in supply chain networks. Evaluating different scenarios helps you gain much-needed network flexibility in these times of stress and can help you prepare for a resilient future. How are companies leveraging scenario modeling for network design and optimization ?
ProRail manages the Dutch rail network (owned by Nederlandse Spoorwegen ). Internet of Things (IoT) sensor-generated data is another key piece of improving railway efficiency and operations. Accordingly, the number of IoT transport units is expected to increase , according to Statista data, from 2.6 Making Data One’s Own.
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.
Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.
Table of Contents [Open] [Close] Significance of Last-Mile Delivery Optimization Implementing Innovative Strategies The Role of Data Analytics Sustainability: A Necessary Focus 1. Data-driven approaches, such as predictive analytics, facilitate real-time adjustments in delivery operations. Electric and Alternative Fuel Vehicles 2.
These decentralized networks aim to boost flexibility, reduce risk, and improve responsiveness, aided by technologies such as blockchain, AI-driven logistics, and expanded visibility into supply chains. These events highlighted the urgent need for diversification and risk mitigation strategies across global supply networks.
Uyghur Forced Labor Prevention Act (UFLPA) and the European Unions Forced Labor Regulation (FLR) are prime examples of this tightening framework. Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions. Adding to the uncertainty, recent comments from a new U.S.
If you’ve followed our blog over the years, you’ll know that we’ve shared lots of information about distribution network design, why it’s vital to get it right, how long it should take, the importance of reviewing the network every so often, and various elements of design such as determining the number of warehouses and where to locate them.
Innovation Pillars: Diagnose: primarily powered by Infor Process Mining, this capability helps organizations gain visibility into business processes, uncover non-conforming variants, identify critical bottlenecks, and optimize operations based on data. This involves a NetworkData Mesh for unlocking insights.
For example, our advanced 3PL platform looks after every aspect of your supply chain in an efficient, effective way and our Virtual Carrier Network safeguards your shipping by always applying the best rates and speeds while not handcuffing you to any carrier. Of course we’re talking about your ecommerce store’s data security.
For example, an ERP for automotive distributors needs to include not just a standard sales function but also allow for automotive-specific processes like call-offs and contract pricing, as well as other processes like returns and lot traceability. An ERP provides a central repository for all a distributor’s data.
We often get asked what kind of return on investment you should expect to see when using our network design technology. Given that we are a data-driven (math-loving) company, we wanted to test this range by running some scenarios to see what kind of results companies can expect across a variety of verticals. Summing up.
AWS also announced new Amazon EC2 P5en instances with Nvidia H200 Tensor Core GPUs and EFAv3 networking. Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data.
RPA technology simulates human operations in digital systems, such as data entry, file processing, and information transmission, achieving full automation of key processes from booking to order. Booking Processing : RPA can automatically scan and digitize booking documents in various formats and then automatically enter the data.
V2X allows vehicles to exchange data with their environment: other vehicles, traffic signals, the cloud, 5G networks, and pedestrians. The vans will use real-time road data and V2I infrastructure to avoid congestion, prioritize signals, and reduce downtime during deliveries.
And the foundation that holds all of this together is your master data. Even if you invest in sophisticated inventory management systems, if your master data isn’t accurate, you’ll fail. For example, in some instances simply adjusting delivery windows can save more than you can through rate negotiations.
Finally, rigid fulfillment networks compound the problem. Leading organizations are building supply chains that are less exposed to single points of failure, more informed by real-time data, and more able to adjust sourcing, inventory, and routing based on current conditions. This kind of signal detection gives operators a head start.
Transportation Networks and Modal Shifts A good transportation strategy is one of the best ways to reduce emissions. Through network optimization. For example, switching from air to ocean freight for non-time sensitive shipments can reduce carbon emissions by up to 95% per unit shipped.
Solution: Use data-driven forecasting to predict demand as accurately as possible. Example: Retail giant Zara uses real-time data from its stores to adjust inventory dynamically. Example: Amazon’s fulfillment centers are famous for using robotics to streamline order processing and packing.
The fragmentation of data and processes was creating blind spots, inefficiencies, and ultimately, vulnerability to disruption. Our data showed that over 90% of enterprise shippers had to reroute shipments during this period, with an average cost increase of 35% per container. This insight wasn’t merely theoretical.
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