Logistics Viewpoints

AUGUST 29, 2024

In the dynamic landscape of modern supply chains, one of the key challenges is the efficient management of resources to eliminate waste and enhance overall productivity. Packing efficiently is essential for maximizing storage capacity and minimizing waste in the warehouse. With 90% of items shipped in the U.S.

Waste Reduction 117

Waste Reduction Optimal Sourcing Sourcing Strategies Resource Reduction 117

Logistics Viewpoints

JANUARY 21, 2025

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.,

Supply Chain Planning Software 116

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Optimal Sourcing 116

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

OCTOBER 25, 2024

The governor has mobilized thousands of personnel to tackle the waste issue in Pinellas County and is working to expedite the removal process. Will the state be better equipped for waste removal? From a sustainability and supply chain perspective, this situation is incredibly challenging to comprehend. Nauto and Beans.ai

Supply Chain Planning Software 115

Supply Chain Planning Software Supply Chain Software Supply Chains Waste Reduction 115

Logistics Bureau

JANUARY 21, 2025

An efficient supply chain is one that makes sure that every resource across your entire operation is watertight, avoiding waste and maximising profits. Inventory Management The key starting point is implementing proper ABC analysis, and you need to look at it from multiple angles. what we found was shocking.

Supply Chain Design Software 98

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

The Logistics of Logistics

DECEMBER 3, 2021

Krenar Komoni has developed breakthrough ideas in data analytics, logistics, and electronics design for nearly 20 years. Tive is a cloud-based platform that uses IoT sensors to capture critical real-time shipment sensor data as products are shipped worldwide. About Krenar Komoni. Key Takeaways: The Tive Story.

Supply Chain Design Software 221

Supply Chain Design Software Optimization Software Logistics Network Optimization Software Supply Chain Software 221

GlobalTranz

OCTOBER 24, 2016

Patrick gives us some insight into workplace efficiency and how to reduce waste. . Lean manufacturing consolidates equipment, people and workspace resources to reduce waste, create an effective flow of actions and create unbeatable manufacturing solutions. Targeting Workplace Efficiency and Reducing Waste . Determining Waste

Waste Reduction 99

Waste Reduction Inventory Reduction Resource Reduction Cost Reduction 99

FreightWaves SONAR

MARCH 2, 2021

From a financial standpoint, transportation cost analysis remains focused on determining the value of the resources used to execute a given shipment and goes well beyond benchmarking. Moreover, this kind of analysis does not focus on who ends up paying which expenses in the end. The challenges of limited transportation cost analysis.

Analysis 98

Analysis Price Reduction Cost Reduction Supply Chain Planning Software 98

FreightWaves SONAR

FEBRUARY 4, 2021

Wasting resources and assets cost managers a pretty penny. Fortunately, smart data utilization can help reduce deadheading occurrences and make the entire supply chain more profitable. Waste matters in the shipping industry because every instance leads to higher freight costs. And it’s essential to understand why. .

Waste Reduction 98

Waste Reduction Data Expense Reduction Cost Reduction 98

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

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

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

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 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

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

Blue Grace Logistics

JANUARY 9, 2018

‘Big Data’ has become one of the biggest buzzwords lately. While having access to “big data” is all well and good and easy enough if you’re willing to pay for it, turning it into something usable is a different matter altogether. So what is “big data” and how can it be used? A Little Bit of Big Data.

Data 85

Data Waste Reduction Sourcing Strategies Manufacturing Procurement 85

Logistics Viewpoints

JULY 25, 2024

By minimizing energy waste and optimizing equipment operation, companies can reduce their carbon footprint and lower energy costs. These systems can precisely control water usage in manufacturing processes, minimize material waste through precise cutting or shaping, and optimize packaging to reduce material consumption.

Supply Chain Software 123

Supply Chain Software Automation Waste Reduction Supply Chains 123

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

GlobalTranz

JUNE 29, 2017

Editor's Note: Today's blog comes from Katie Cruze at considerdigital.com who give us the top 5 reasons why data quality is important. Data, for most companies, is often collected for record-keeping purposes. For many companies, managing the quality data can seem like an overwhelming task.

Data 77

Data Waste Reduction Sourcing Strategies Expense Reduction 77

Compactor Management Company

FEBRUARY 24, 2023

What is Waste Characterization? Knowing the amount of paper , glass , food waste , and other materials that are wasted in your waste stream is known as “waste characterization”. Video by CalRecycle Who Should Utilize Hazardous Waste Characterization? What Are the Four Characteristics of Hazardous Waste?

Waste Reduction 52

Waste Reduction Waste Resource Reduction Material Savings 52

WorkWave

JULY 11, 2024

Starting a waste management business in 2024 can be a lucrative and environmentally impactful venture. With the increasing focus on sustainability and proper waste disposal, there is a growing demand for efficient waste management services. What does a waste management business do?

Waste Reduction 52

Waste Reduction Waste Cost Reduction Expense Reduction 52

Logistics Viewpoints

APRIL 4, 2024

In this blog, I will discuss the use of AI/ML demand planning for fresh products to help maximize sales and reduce waste. Looking back on that week of straight rain in August, not only were my tips affected, but the data for future forecasts was as well!

Scenario Planning 124

Scenario Planning Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 124

Logistics Bureau

JANUARY 20, 2025

Predictive Analytics and Demand Forecasting – Modern supply chain systems analyse historical data, market trends and even weather patterns to predict future demand. Enhanced Accuracy with Error Reduction & Quality Control Manual data entry errors have been solved almost entirely with automation.

Supply Chain Software 75

Supply Chain Software Supply Chain Design Software Supply Chain Design Supply Chains 75

FreightWaves SONAR

MARCH 15, 2021

The problem looms large for shippers and managers across the supply chain network, but the answer is out there – better utilization of smart data and automated processes. Poor data analytics cause disruptions. The inability to properly review data and make educated predictions can exacerbate unplanned disruptions and errors.

Optimal Sourcing 72

Optimal Sourcing Procurement Negotiating Skills Capacity 72

FreightWaves SONAR

NOVEMBER 9, 2020

The sum of that freight tech volume is somewhat ironic – data overload and an inability to manage due to the inefficient use of several systems. Freight tech APIs collect data in near real-time. Connected systems can collect data in near real-time, limited only by the speed of an internet connection. Why is that advantageous?

Optimization Software 78

Optimization Software Data Freight Optimal Sourcing 78

SYSPRO Smarter ERP

OCTOBER 9, 2023

Modern machinery is commonly fitted with real-time sensors but these are not very useful if there is no way to view and action the data from the sensors. Therefore, companies should have a system to collect and consolidate the data for reporting and analysis. This can be used in costing analysis and equipment profitability.

Manufacturing Procurement 111

Manufacturing Procurement Purchasing Skills Cost Reduction Optimal Sourcing 111

FreightWaves SONAR

JANUARY 28, 2021

Enterprise shippers are looking for ways to capture and analyze more data Making the most of available technology has always been critical for fine-tuning a supply chain. Now more than ever, shippers need to find innovative ways to make the most of real-time freight data and analysis. Download the White Paper.

Waste Reduction 105

Waste Reduction Resource Reduction Price Reduction Cost Reduction 105

FreightWaves SONAR

DECEMBER 22, 2020

Relying solely on manual shipping data analysis continues to yield poor results. The old ways of recording, processing and responding to analytical data need a streamlined approach. Outdated analysis and management methods are becoming increasingly more difficult amid lockdowns, supply shortages, and increased consumer demands.

Logistics Network Optimization Software 105

Logistics Network Optimization Software Supply Chain Design Software Supply Chain Planning Software Supply Chain Software 105

Carter Logistics

SEPTEMBER 5, 2018

Companies are wasting money hand-over-fist on outdated supply chain methods that suffer from inefficiency and poor tracking. Never Stop Analyzing Your Logistics Data. In the world today, data is king, and you can bet that your competitors are trying to use it to their fullest advantage. Blog Topics.

Supply Chains 111

Supply Chains How To Logistics Waste 111

Talking Logistics

MAY 14, 2019

Ensuring receipt of Certificate of Analysis (CoA) and other regulatory compliance documentation has made digitization a requirement for customer service, audit management, and compliance. Sharing of quality data helps to protect supply chain stakeholders and end-customers from hazardous materials.

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Software Supply Chains Digital 130

GlobalTranz

JULY 28, 2021

True optimization applies data to ensure all decisions and processes are carried out to their fullest potential. That means identifying areas of waste, overlap and large volumes and enabling continuous improvement through the use of transportation metrics to track performance.

Optimal Sourcing 126

Optimal Sourcing Optimization Software Optimization Supply Chain Design Software 126

EazyStock

JUNE 23, 2022

What is big data? All successful businesses use data to develop strategies and review their outcomes. But as the number of systems being used increases, the amount of data available for consumption and analysis grows exponentially. Unstructured data isn’t as accessible to search or export and is often text-heavy.

Inventory Reduction 52

Inventory Reduction Optimal Sourcing Inventory Supply Chain Planning Software 52

SYSPRO Smarter ERP

SEPTEMBER 20, 2021

Finance and production can’t be working off different data sets. Automation is one of the keys to addressing all of these issues, but integration is just as important because management needs data to monitor these systems and continuously improve. It also collects data and tracks performance to provide a 360?

Manufacturing Procurement 110

Manufacturing Procurement Optimal Sourcing Optimization Software Digital 110

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

GlobalTranz

MAY 1, 2018

Data-driven analytics enables you to make cost-effective transportation decisions. However for most shippers, parcel spend is poorly understood because shipping data is often locked up in point solution silos, such as carrier-provided systems and websites, in a variety of different formats. But no longer.

Procurement Analytics 61

Procurement Analytics Optimal Sourcing Data Sourcing Strategies 61

GlobalTranz

MAY 6, 2015

Eliminate All Waste in the Supply Chain So That Only Value Remains. In the supply chain, the seven wastes translate to: o System complexity—additional, unnecessary, steps and confusing processes. In the supply chain, the seven wastes translate to: o System complexity—additional, unnecessary, steps and confusing processes.

Supply Chain Planning Software 127

Supply Chain Planning Software Waste Reduction Inventory Reduction Supply Chain Software 127

SYSPRO Smarter ERP

JULY 2, 2024

Machine learning (ML): Using algorithms and data to detect patterns without being explicitly programmed to do so automatically. ML and DL are mainly used in data analysis, classification, clustering, and ranking. GenAI systems are trained on massive amounts of text data to understand and generate human-like language.

Supply Chain Planning Software 105

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