Logistics Viewpoints

NOVEMBER 6, 2024

These sensors capture precise data on factors like location, speed, fuel usage, and driver behavior, transforming fleet management from reactive to data-driven decision-making. The IoT data allows managers to detect inefficiencies, predict maintenance needs, and even assess driver performance.

Supply Chain Planning Software 116

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Optimization Software 116

The Logistics of Logistics

JULY 31, 2023

Heard Media’s Custom Content Growth Model consists of three phases: Clarify, Create, and Convert. They offer a Custom Content Growth Model that includes strategies such as brand and content strategy, audience research, competitive analysis, and digital content roadmap.

Supply Chain Design Software 367

Supply Chain Design Software Logistics Network Optimization Software Modeling Software Cost Reduction 367

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

Logistics Viewpoints

JUNE 30, 2020

Supply chain modeling is essential to substantiated resiliency analysis and to the planning of risk responses. A supply chain model is the digital representation of the structure, product flows and policies of a physical supply chain.

Modeling 90

Modeling Supply Chain Design Supply Chains Scenario Planning 90

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

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 Viewpoints

JULY 23, 2024

Data is the lifeblood of AI in the supply chain. Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem.

Optimal Sourcing 122

Optimal Sourcing Supply Chain Software Supply Chains Data 122

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 101

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 101

FreightWaves SONAR

FEBRUARY 4, 2021

Fortunately, smart data utilization can help reduce deadheading occurrences and make the entire supply chain more profitable. More money going out than is coming in is never a profitable business model. Applied data lowers the risk of over-valuing or under-valuing trucking costs. Think about it. Download the White Paper.

Waste Reduction 98

Waste Reduction Data Expense Reduction Cost Reduction 98

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 119

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 119

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

SYSPRO Smarter ERP

APRIL 17, 2023

The manufacturing industry is currently undergoing a rapid digital transformation, and as a result, companies are generating vast amounts of data. Unfortunately, without proper processing and analysis, this data is of little use to the organization. This enables managers to take swift action and keep production on track.

Manufacturing Procurement 98

Manufacturing Procurement Optimal Sourcing Supply Chain Planning Software Optimization Software 98

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 109

Data Supply Chain Design Software Supply Chain Planning Software Digital 109

SYSPRO Smarter ERP

JULY 3, 2023

What is Machine Learning ML is the computing engine behind AI and gives computers the ability to make sense of, and learn, from data to perform specific tasks without manual interference. Nine areas where AI can help manufacturers There are several ways in which data and AI can be applied in the manufacturing industry. The Industry 4.0

Manufacturing Procurement 98

Manufacturing Procurement Optimal Sourcing Data Optimization Software 98

Food Logistics

JUNE 26, 2023

CoPilot is a generative AI tool embedded in its freight management platform, ShipperGuide, that enables real-time data analysis and industry insights by harnessing the power of large language models.

Modeling Software 78

Modeling Software Data Freight Analysis 78

MTS Logistics

MARCH 12, 2025

So, going into 2025, I would like to focus on current congestion data, global trends and what U.S. years on planning and operating through a hub model. . & 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 86

Cost Reduction Reliability Scenario Planning Logistics Network Optimization Software 86

The Logistics of Logistics

MAY 9, 2022

Mode optimization has traditionally been promised, but not delivered because the analysis was completed by people who didn’t have the data or tools. Data insights that enable shippers to learn from not just their own data and insights — but from each other.

Optimization Software 195

Optimization Software Freight Modeling Software Price Reduction 195

The Logistics of Logistics

JULY 2, 2021

Mode optimization has traditionally been promised, but not delivered because the analysis was completed by people who didn’t have the data or tools. Data insights that enable shippers to learn from not just their own data and insights — but from each other.

Freight 195

Freight Optimization Software Modeling Software Price Reduction 195

Trinity Logistics

JANUARY 19, 2024

Foundational Model This is where the training/learning takes place, where you’re teaching the AI how to look at things and look at input. Large Language Model (LLM) This model is trained on vast amounts of text, can interpret what you’re asking of it, and can put a response in words that you can understand.

Supply Chain Software 127

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

The Logistics of Logistics

DECEMBER 29, 2020

She has led programs ranging from acquisitions to technology deployment with a strong focus on lean manufacturing and data management. Companies will need to implement solutions that give this data in real-time or in the shortest time possible. can be created to serve as a sandbox for scenario analysis. About CarrierDirect.

Supply Chain Planning Software 205

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Sourcing Strategies 205

Freightos

JUNE 17, 2024

In the first issue of our AI popup newsletter series, Matt Motsick, CEO of Rippey AI and a long-time logistics technology leader, explores buying or building AI models. Focus on Innovation : By outsourcing the underlying AI technology, companies can focus more on innovation and applying AI in unique ways within their business models.

Modeling Software 119

Modeling Software Optimization Software Logistics Network Optimization Software Cost Reduction 119

The Logistics of Logistics

FEBRUARY 11, 2022

But the model for those cost categories has been dramatically changed by the emergence of WMS delivered in the Cloud, with the software and other cost elements moving from a fixed to a recurring cost and creating a shift in how some deployment costs are incurred. There can be some deviations from this basic model.

Modeling Software 221

Modeling Software Logistics Network Optimization Software Cost Reduction Vendor Strategies 221

Logistics Bureau

NOVEMBER 12, 2024

Essential Steps to Using Warehouse Modeling Software 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. This helps you make informed decisions without risking disruptions to your physical systems.

Modeling Software 72

Modeling Software Supply Chain Design Software Supply Chain Planning Software Optimization Software 72

Logistics Viewpoints

SEPTEMBER 16, 2022

Today, data and software programs can be saved or run in any data processing center in the world. This business model provides many advantages: Processing big data efficiently. Cloud computing bundles all the data and services in one single infrastructure. Rapid integration. Access to latest features.

Supply Chain Planning Software 137

Supply Chain Planning Software Modeling Software Optimization Software Logistics Network Optimization Software 137

FreightWaves SONAR

MARCH 9, 2021

Additionally, the shipping model usually focuses on the transfers of goods that come in on ships to other storage areas or to other shipping locations for the next leg of the trip. H aving access to real-time freight data and being able to make good use of it is essential for global trade and maritime shipping. Request a SONAR Demo.

Supply Chain Planning Software 98

Supply Chain Planning Software Scenario Planning Data Optimal Sourcing 98

Logistics Viewpoints

SEPTEMBER 19, 2024

Additionally, software vendors continuously invest in tuning the performance of their algorithms and models. Planners spend considerable time preparing scenario planning and not the actual analysis. For impactful scenario planning, planners must spend time on analysis rather than collating data and manually creating scenarios.

Supply Chain Planning Software 119

Supply Chain Planning Software Scenario Planning Supply Chain Software Supply Chains 119

The Logistics of Logistics

FEBRUARY 12, 2021

By building machine learning models that properly diagnose and label excursions, PAXAFE is uniquely positioned to leverage more granular, contextual data to accurately identify when, where and under which conditions future adverse events are likely to occur.

Expense Reduction 195

Expense Reduction Freight Supply Chain Software Modeling Software 195

The Logistics of Logistics

APRIL 26, 2022

Michelle Sodomka, a Senior Director in charge of Open Sky Group ’s transportation management practice has 15 years’ experience in risk analysis and mitigation within the logistics industry. Shippers would access autonomous freight capacity in a service model and pay for this on a per mile basis.

Logistics Network Optimization Software 221

Logistics Network Optimization Software Trucking Freight Supply Chain Planning Software 221

Log-hub

FEBRUARY 12, 2025

By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Optimal Sourcing 52

Logistics Viewpoints

AUGUST 14, 2024

These systems have a range of approximately three hundred meters and facilitate the exchange of critical data between vehicles. Here’s how it works: Data Transmission: Vehicles continuously broadcast data, including position, speed, heading, brake status and many more operational parameters.

Modeling Software 120

Modeling Software Efficiency Optimization Software Logistics Network Optimization Software 120

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 125

Digital Procurement Analytics Manufacturing Procurement Modeling Software 125

SYSPRO Smarter ERP

JANUARY 23, 2023

Reporting requires businesses to collect and track data on their ESG performance and report this information in a transparent and consistent manner. This involves implementing processes and systems for collecting and reporting on data, and some businesses may need to ensure that the information is verified by a third party.

ERP 111

ERP Waste Reduction Optimal Sourcing Supply Chain Planning Software 111

Ship Monk

FEBRUARY 9, 2024

The process usually includes analyzing historical data for seasonal trends and product performance, as well as gathering current data on competitors, marketplace trends, future marketing plans and promotions. All of them rely on data, whether you’re using historical data or new findings gathered from consumer research.

eCommerce 105

eCommerce Operations Inventory Reduction Modeling Software 105

Logistics Viewpoints

FEBRUARY 28, 2022

Planning applications don’t work well if the master data they rely on is not accurate; this is known as the “garbage in, garbage out” problem. Artificial intelligence is beginning to be used to update the data. Lead times, for example, are a critical form of master data for planning purposes.

Supply Chain Planning Software 141

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 141

SYSPRO Smarter ERP

JULY 2, 2024

AI is a term for computing capabilities that are perceived as representing intelligence, including image and video recognition, prescriptive modelling, smart automation, advanced simulation, and complex analytics. Machine learning (ML): Using algorithms and data to detect patterns without being explicitly programmed to do so automatically.

Supply Chain Planning Software 105

Supply Chain Planning Software Modeling Software Optimization Software Supply Chain Design Software 105

Logistics Viewpoints

APRIL 11, 2023

Limitations in modeling the real world Over the years products, consumers and markets have grown complex and this trend was accelerated by COVID-19 in terms how and where customers want to interact with brands and products. Capabilities you should be looking to real world data modeling.

Supply Chain Planning Software 109

Supply Chain Planning Software Scenario Planning Supply Chain Design Software Modeling Software 109

SYSPRO Smarter ERP

MAY 10, 2023

Machine learning refers to the concept that computer programmes can make use of algorithms to automatically learn from and adapt to new data without being assisted by humans. On the other hand, machine learning algorithms are automatically updated with new data and continuously retrain their models.

Supply Chain Planning Software 98

Supply Chain Planning Software Supply Chain Software Modeling Software Modeling 98