Logistics Viewpoints

APRIL 28, 2025

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.

Optimal Sourcing 61

Optimal Sourcing Supply Chain Design Software Modeling Software Supply Chain Planning Software 61

Logistics Viewpoints

NOVEMBER 18, 2024

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. They only promise at most 50% of the savings shown by the analysis.

Supply Chain Design Software 122

Supply Chain Design Software Supply Chain Design Supply Chain Software Supply Chain Planning Software 122

WorkWave

DECEMBER 2, 2024

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.

Optimal Sourcing 105

Optimal Sourcing Cost Reduction Resource Reduction Waste Reduction 105

WorkWave

JANUARY 20, 2025

For these companies, maintaining profitability while protecting their margins hinges on operational efficiency and the strategic use of data. Data is critical to managing every dimension of the business. Lets explore how AI and BI empower these industries, using specific examples to illustrate their transformative potential.

Optimization Software 64

Optimization Software Security Data Industry 64

IoT World Today

MAY 21, 2020

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.

Supply Chain Planning Software 145

Supply Chain Planning Software Supply Chain Software Supply Chains Sourcing Strategies 145

Logistics Bureau

JANUARY 21, 2025

Inventory Management The key starting point is implementing proper ABC analysis, and you need to look at it from multiple angles. It’s not enough to just categorise by product groups; you’ve got to dig deeper into line item analysis. And the foundation that holds all of this together is your master data.

Supply Chain Design Software 98

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 98

The Lean Thinker

APRIL 28, 2025

T oyota Kata Culture by Gerd Aulinger and Mike Rother offers a good example of this. This example shows a hypothetical changeover time as the learner progresses through a few Target Conditions on their way to the ultimate 10 minute challenge. The outcome of my analysis is analogous to a Target Condition. The goal is the same.

Optimal Sourcing 195

Optimal Sourcing Tools Examples Sourcing 195

MTS Logistics

MARCH 13, 2024

For the first time, there is real-world data that shows that wind power could be a viable source of energy to power container ships in the near future. Encouraging data has been released on using wind power for powering a cargo ship, according to the BBC. What did the results of the months-long test show?

Examples 105

Examples Material Savings Sourcing Data 105

Logistics Bureau

JANUARY 3, 2025

Quality and Detail of Data and its Analysis In some of our earlier posts, weve stressed the importance of simplicity in distribution network design , and we will return to that topic later in this article. It would be folly not to take advantage of data availability and accessibility.

Supply Chain Design Software 75

Supply Chain Design Software Supply Chain Design Distribution Networks 75

Logistics Viewpoints

MAY 1, 2025

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 Network Data Mesh for unlocking insights.

Optimal Sourcing 79

Optimal Sourcing Optimization Software Supply Chain Design Software Material Savings 79

Logistics Bureau

JANUARY 21, 2025

Let’s look at my 7 truths of customer service that every business should consider; Most companies don’t truly know their customers’ service needs, though they think they do This often stems from insufficient customer interaction, lack of surveys, and limited performance measurement Even after working with thousands of businesses over (..)

Supply Chains 86

Supply Chains Logistics Network Optimization Software After-sales Ordering 86

Logistics Viewpoints

JANUARY 23, 2024

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.

Supply Chain Planning Software 121

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 121

Logistics Viewpoints

JANUARY 29, 2025

I have recently completed the latest ARC Advisory Market Analysis on Global Trade Compliance, available here. Uyghur Forced Labor Prevention Act (UFLPA) and the European Unions Forced Labor Regulation (FLR) are prime examples of this tightening framework. Consequently, demand for robust GTC solutions will continue to rise.

Compliance 110

Compliance Supply Chain Planning Software Study Supply Chain Software 110

LandLink

APRIL 8, 2020

Data is the new precious metal and it is becoming more essential than ever before. Technological leaps like blockchain, artificial intelligence and machine learning run on data. Careful and Regular Data Collection is Critical Data management is not a “set it and forget it” activity.

Supply Chain Planning Software 107

Supply Chain Planning Software Supply Chain Software Optimization Software Logistics Network Optimization Software 107

Logistics Viewpoints

JUNE 29, 2021

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

Data 111

Data Supply Chain Design Software Supply Chain Planning Software Digital 111

Logistics Viewpoints

FEBRUARY 22, 2022

Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. How about your need for a seamless corporate transportation analysis?

Data 102

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 102

Logistics Viewpoints

FEBRUARY 19, 2025

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.

Logistics Network Optimization Software 75

Logistics Network Optimization Software Optimization Software Cost Reduction Logistics 75

Logistics Bureau

SEPTEMBER 4, 2023

Have you conducted a cost-to-serve (CTS) analysis for your enterprise? And that is the sole purpose of cost-to-serve analysis. If you were going to say, “What is a cost-to-serve analysis?” Only a complete cost-to-serve analysis will expose these underlying issues unless they happen to be discovered incidentally.

Negotiating Skills 98

Negotiating Skills Purchasing Skills Cost Reduction Analysis 98

EazyStock

MARCH 9, 2021

What is ABC Analysis? ABC inventory analysis is a method used to classify a business’s stock items into three categories – A, B and C, based on their value to the business. In this blog post we’ll delve deeper into the intricacies of ABC analysis and how it can help businesses improve their inventory management practices.

Analysis 83

Analysis Inventory Optimization Software Procurement Solutions 83

Trinity Logistics

AUGUST 4, 2020

Chemical manufacturers collect and use a lot of data in their supply chain. They deal with data on their products, customers, transportation, storage, operations and more. Acquiring that data is not hard but managing and utilizing that information to be able to analyze your business is the challenge. Lane Analysis Reports.

Supply Chain Planning Software 90

Supply Chain Planning Software Supply Chain Software Logistics Network Optimization Software Supply Chains 90

Freightos

APRIL 29, 2025

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.

Supply Chain Design Software 90

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 90

MTS Logistics

MAY 27, 2022

We experience such diverse supply chain disruptions that tracking the data on U.S. For example, recently Target was forced to write down the value of excess inventory that’s stuck in warehouses. The post Global Logistics Market Analysis: 2022 Summer Edition appeared first on More Than Shipping. Furthermore, T.J.

Global logistics 105

Global logistics Analysis Negotiate Pricing Negotiating Skills 105

FreightWaves SONAR

MARCH 9, 2021

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

Data 98

Data Reliability Supply Chain Planning Software Trucking 98

Logistics Viewpoints

MARCH 27, 2025

The pace and scope of supply chain disruption are beyond human cognition, manual analysis, and consumer-grade spreadsheet tools. They can ingest large volumes of functional data and leverage advanced intelligence to recognize broad trends and specific disruptive events. billion to $23.07

Supply Chain Planning Software 132

Supply Chain Planning Software Optimization Software Supply Chain Software Logistics Network Optimization Software 132

Logistics Viewpoints

JUNE 26, 2024

So, when I learned that GIS can effectively be used for traffic analysis and management, my interest piqued. GIS is a powerful tool that enables the analysis and visualization of spatial data, allowing for the integration of geographical elements into transportation planning and management. How Does GIS Help?

Sourcing Strategies 124

Sourcing Strategies Optimization Software Optimal Sourcing Logistics Network Optimization Software 124

Logistics Viewpoints

APRIL 16, 2025

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.

Supply Chain Planning Software 71

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Supply Chain Design 71

MTS Logistics

MARCH 12, 2025

So, going into 2025, I would like to focus on current congestion data, global trends and what U.S. For example, numerous ports are still severely congested today. . & Europe, insufficient infrastructure in West Africa and parts of South America, and a surge in general volumes were the main factors behind all the issues.

Cost Reduction 96

Cost Reduction Reliability Scenario Planning Logistics Network Optimization Software 96

Logistics Viewpoints

JANUARY 16, 2025

Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. These developments help enable real-time data processing, reduce the reliance on cloud connectivity, and democratize access to advanced AI technologies in industrial and robotic contexts.

Modeling Software 119

Modeling Software Supply Chain Design Software Optimization Software Supply Chain Planning Software 119

MTS Logistics

APRIL 15, 2022

Despite all these issues, cargo handled has rose a whopping 22% in the period of December 2021/January 2022/February 2022 compared to the December 2020/January 2021/February 2021 period according to data from the Port of Houston. The post Analysis: Should You Redirect Your Cargo and If So, Where?

Analysis 98

Analysis Cargo Expense Reduction Supply Chains 98

Logistics Bureau

DECEMBER 28, 2024

For example, switching from air to ocean freight for non-time sensitive shipments can reduce carbon emissions by up to 95% per unit shipped. Data Driven Carbon Tracking and Reduction Having robust carbon tracking across your supply chain enables better decision making and continuous improvement. How can we help?

Resource Reduction 75

Resource Reduction Material Savings Supply Chain Design Software Supply Chain Planning Software 75

Logistics Viewpoints

FEBRUARY 7, 2025

ITR Economics analysis shows rising and unmet demand for electric power from sustainability initiatives, coupled with the proliferation of data center construction ($27.3 For example, the global logistics automation market is expected to grow from $50 billion in 2023 to $120 billion by 2030, according to Allied Market Research.

Cost Reduction 80

Cost Reduction Inventory Reduction Price Reduction Supply Chain Planning Software 80

SYSPRO Smarter ERP

APRIL 8, 2025

AI systems get better and more accurate as they collect and analyze more data. ML is a form of AI that enables a system to learn from data rather than through explicit programming. ML is a form of AI that enables a system to learn from data rather than through explicit programming.

ERP 64

ERP Supply Chain Design Software Modeling Software Optimization Software 64

IoT World Today

FEBRUARY 6, 2020

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 Optimizing Railway Operations with Data. Making Data One’s Own. million in 2017 to 3.7

Efficiency 135

Efficiency Networks Optimization Software Training 135

Logistics Viewpoints

JULY 17, 2024

Erwin highlighted the importance of real-time data accuracy and visibility. People, technology, and data are very important for their journey. The importance of employee ownership in driving cultural transformation and their acceptance of data-driven decision making within the organization was also emphasized.

Digital 126

Digital Procurement Analytics Manufacturing Procurement Modeling Software 126

Logistics Bureau

DECEMBER 22, 2024

A KPI is a practical and objective measurement of progress, either: Towards a predetermined goal, or Against a required standard of performance It might help to think of a KPI as something like an instrument on a car dashboarda speedometer, for example. Why Are KPIs Important? Nonetheless, it is essential to have a hierarchy of KPIs.

Supply Chains 74

Supply Chains Procurement Analytics Inventory Reduction Purchasing Skills 74

Material Handling and Logistics

JANUARY 8, 2018

For example, an analysis carried out by AIR on the potential impact of Hurricane Harvey on regional manufacturing found that, based on percentage of the total potential revenue loss, the top three subsectors are petroleum and coal products manufacturing (37%), chemical manufacturing (13%), and oil and gas extraction (12%).

Supply Chains 142

Supply Chains Cost Reduction Examples Events 142

Trinity Logistics

JANUARY 19, 2024

Generative AI is first trained on a foundational model and then fine-tuned with human feedback and additional data. Its responses are based on data it has consumed and a resultant powerful prediction mechanism. That is one example of a public version of Generative AI. Now, none of these are really new technologies.

Supply Chain Software 127

Supply Chain Software Logistics Network Optimization Software Modeling Software Supply Chains 127