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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.
One essential tool used by the supply chain team is supply chain design. Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric. One key tool they use to accomplish this is a supply chain design solution from Coupa.
She brings almost 20 years of supply chain and benchmarking experience to DAT, where she is focused on providing actionable insights to shippers through DAT’s Benchmark Analytics and Rateview benchmarking tools. The platform offers a wide range of features and tools to help shippers find available carriers and carriers find available loads.
HERE Technologies, a location data and technology platform, has released a new commercial fleet analytics tool – CO? The tool also […]. The post HERE, Migros Launch Emissions AnalysisTool for Fleet Operators appeared first on NGT News.
Dedicated supply chain network design software is fuelled by intuitive scenario analysis capabilities on the front end and powerful mathematical optimization on the back end. Answer 10 relevant questions and find out if your needs qualify for advanced network design & scenario modeling technology.
From digital freight brokerage and consultancy to software tools, they empower shippers, carriers, and warehouses to move more with less—increasing efficiency, reducing costs, and enhancing service quality. Network Assessment and Optimization: They analyze existing logistics networks to identify inefficiencies.
Over the past decade, Kevin has built an extensive network that has fueled success and innovation in the U.S. Their platform not only provides highly accurate buy rates but also offers sell price suggestions based on comprehensive data analysis. By leveraging comprehensive data analysis, Greenscreens.ai logistics market.
This collaboration aims to deliver advanced tools to streamline workflows and improve finances across distribution and warehouse operations. Together, the companies will provide businesses with powerful labor insights for workflow analysis, benchmarking, and forecasting across their networks.
Failure to effectively filter, prioritize, and analyze data can lead to “analysis paralysis,” where data volumes hinder timely decision-making. Implementing connected fleets requires a comprehensive cost-benefit analysis to assess how long-term savings and improved productivity align with these initial expenses.
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. When you finally have the analysis, everything has changed, and it is no longer relevant. Don’t have the right tools/tools are too complex or expensive. It's easier than you think.
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.
Over the past decade, Kevin has built an extensive network that has fueled success and innovation in the U.S. Their platform not only provides highly accurate buy rates but also offers sell price suggestions based on comprehensive data analysis. Its network has aggregated and anonymized transactional load data over $20B and growing.
You have tough decisions to make about your supply chain network design. You need answers to urgent network questions, but it often takes several weeks to get the answers you need. When you finally have the analysis, everything’s changed, and the results are no longer relevant.
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.
5G networks significantly improve data transmission speed, latency, and device connectivity, revolutionizing supply chain operations. ZF Friedrichshafen has deployed a private 5G network at one of its test facilities to support the development and testing of autonomous vehicle systems.
million+ transactions annually This network effect means better visibility, more competitive rates, and unparalleled connectivity across the global logistics landscape. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Even with local processing, network variability, particularly in remote warehouses, ports, and along mobile routes, can still cause small but impactful delays.
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.,
To actually realize the promise of end-to-end visibility and control over our incredibly complex supply chain networks, we need really big picture thinking — particularly when it comes to the supply chain data networks that serve as the foundation for true digital transformation. Supply chain networks: A big-picture view.
Disruptions have become the norm, rather than the exception, and the only organizations that can thrive in this new reality are those with the right tools. Many of these tools are excellent at solving specific problems whether it’s procurement automation, rate management, or market intelligence.
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.
Milkrun Optimization Plus & Transport Optimization Plus Apps: Precision in Routing and Cost Control The latest update introduces the External Cost feature, a powerful “make or buy” decision-making tool, enabling businesses to evaluate whether handling deliveries in-house or outsourcing to a third party is more cost-effective.
Some tools may be acquired by competitors, who then incorporate them in a vastly more expensive package. If you make modifications to the tool, you’re on your own. We wanted to have a robust analysis that we fully understood. But the speed of analysis did not match the speed of decision-making required by the business.
Limitations of Traditional Supply Chain Planning Traditional supply chain planning relies on retrospective analysis. 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.
Research conducted by AIMMS found that 38% of supply chain professionals require multiple weeks to address their network-related?questions. This allow s users to examine whe n and where their network will effectively “ break ” and emphasizes locations in their network that might hold hidden value. . questions.
For example, if delivery times consistently exceed targets, further analysis may reveal specific routes that require optimization or additional resources. By integrating GPS navigation tools that leverage real-time data, drivers can receive timely updates and reroute as necessary, ensuring they adhere to delivery schedules.
AWS also announced new Amazon EC2 P5en instances with Nvidia H200 Tensor Core GPUs and EFAv3 networking. Apple Intelligence demonstrates a clear push for on-device AI processing, with new AI-driven tools enhancing productivity across their operating systems, with a heavy emphasis on privacy and Edge AI.
I’ve noticed a trend in recent years in that when businesses want to check their distribution networks or design a distribution network , they immediately jump into loads and loads of detail. Four Ways to Streamline Your Network Design. I’ve been doing network design for all of 25 years. Specialist Tools.
Improved railway fluidity is one of the few areas where transportation networks are improving, but even in that mode, terminal congestion remains rampant. In preparation for next year’s bid season, and for purposes of managing day-to-day carrier networks, we first recommend evaluating the performance of your current carriers.
With enforcement delayed until December 2025, businesses have time to integrate this tool, which streamlines data collection, geospatial analysis, and compliance verification. require an efficient logistics network to deliver materials and products to multiple locations.
For shippers, success depends on end-to-end network improvements, according to McKinsey & Company. Shipping analytics tools shine a light on the value of informed freight management. Freight market participants need these top shipping analytics tools in their freight stack. Shipping status tools to track freight.
Putting the right distribution network in place is critical for performance, especially as complexity and uncertainty increase. Supply chain network design — the process of determining a supply chain's physical configuration and infrastructure — is a powerful, strategic tool that executives can use to optimize a supply chain's functionality.
With the development of the digital wave, Robotic Process Automation (RPA) technology has gradually emerged as an important tool in the international logistics industry. International Logistics must find a balance between more economical costs and higher efficiency to meet the needs of different countries.
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. The core message was that the standard for supply chains has changed, requiring a digital and intelligent network platform.
I have recently completed the latest ARC Advisory Market Analysis on Global Trade Compliance, available here. AI tools become more valuable when users can comprehend how the AI model arrived at its decisions. Trade classification lists vary per region and are not universally aligned.
Managers of freight carrier networks and supply chains have a lot to keep tabs on with day-to-day operations in the supply chain ecosystem. Knowing how to build this network and set up a platform that provides the data, resources, and support needed becomes difficult. Modern automated tools and hosting platforms for logistics planning.
The modern-day supply chain looks vastly different than it did a decade or two ago, thanks to the changes brought about by the digital freight network. In the simplest of terms, this modern network is an expansive and fully connected system that uses automation, technology, machine learning, virtual tools, data analysis, and other software.
ITR Economics analysis shows rising and unmet demand for electric power from sustainability initiatives, coupled with the proliferation of data center construction ($27.3 Predictive analytics tools enabled by AI are helping organizations optimize inventory management, reduce downtime, and improve demand forecasting.
Basic principles of Kaizen, a Japanese philosophy of “continuous improvement”, has been continuously used as an important tool by many organisations to achieve the same. The final step involves the action based on the analysis done and knowledge gained by the previous levels of the improvement plan.
There is limited value to running an outdated process faster, and that value drops considerably when significant portions of the process run outside the enterprise tools. Planners spend considerable time preparing scenario planning and not the actual analysis. Instead, your planning team continues to be overworked and stressed.
A freight spend analysis can help cut those extra costs. Performing a freight spend analysis reveals extra costs deriving from unforeseen issues. Let’s look at a few best practices and steps to conduct a comprehensive, insightful cost analysis. Know the scope and value of a freight spend analysis.
You have tough decisions to make about your supply chain network design. You need answers to urgent network questions, but it often takes several weeks to get the answers you need. When you finally have the analysis, everything’s changed, and the results are no longer relevant. – Tweet this.
Use tools to automate root cause analysis and reduce dependency on manual reporting. Collaboration Across the Network Collaboration remains pivotal, particularly in industries like healthcare. The war for talent has always been prevalent, said Dritz, emphasizing the importance of aligning skilled teams with the right tools.
Once the analysis was done for Year One set up, Year Two was pretty much the same. The introduction of smoke-free products made the use of spreadsheet tools far less efficient in the capacity and sourcing planning as the new product categories had rapid growth. “We The tool was able to create a model going out multiple years.
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