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 119

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

Logistics Viewpoints

MARCH 15, 2022

Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.

Data 127

Data Modeling Software Industry Supply Chain Software 127

Logistics Bureau

JANUARY 25, 2025

For example, signs that a company is moving in the right direction, talent-wise, might include: The deployment of staff in new roles, absent the traditional supply-chain-centric titles and instead, hybridizing across data-science and logistics skill sets.

Supply Chain Planning Software 70

Supply Chain Planning Software Supply Chain Software Modeling Software Supply Chains 70

The Logistics of Logistics

SEPTEMBER 19, 2022

Chuck started his career as a United States Air Force instructor pilot, first teaching young men and women to fly at undergraduate pilot training in Lubbock Texas, and then flying the C-130 Hercules in Frankfurt, Germany and Willow Grove, Pennsylvania. Chuck is a graduate of the US Air Force Academy.

Logistics Network Optimization Software 370

Logistics Network Optimization Software Modeling Software Definition Price Reduction 370

SYSPRO Smarter ERP

APRIL 8, 2025

Given the recent developments in computing and the ability of AI models to learn and adapt, AI and ML will increasingly be used to improve efficiency, productivity, and creativity across manufacturing. AI systems get better and more accurate as they collect and analyze more data. What is AI and ML?

ERP 62

ERP Supply Chain Design Software Modeling Software Optimization Software 62

Logistics Viewpoints

DECEMBER 18, 2024

Blockchain also facilitates collaboration by sharing verified data across stakeholders. These devices provide actionable data to improve fuel efficiency and reduce maintenance costs. Digital Twins: Virtual models of supply chain networks identify inefficiencies and predict the impact of sustainability measures.

Supply Chain Design Software 109

Supply Chain Design Software Supply Chain Planning Software Optimal Sourcing Supply Chain Software 109

Logistics Viewpoints

MARCH 3, 2025

Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. Instead of relying solely on a single, monolithic AI model (based on a massive large language model), a company can orchestrate a team of specialized agents, each leveraging the best AI or mathematical technique for its specific task.

Packing 77

Packing Supply Chain Design Software Negotiating Skills Supply Chain Planning Software 77

Logistics Viewpoints

APRIL 14, 2025

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. Integration allows seamless transitions from data insights to purchase approvals and execution.

Optimal Sourcing 63

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Logistics Viewpoints

MARCH 17, 2025

The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Databricks offers a Data Intelligence Platform. Databricks type of solution is increasingly being called a data fabric or a data platform built on data fabric principles.

SAP 82

SAP Modeling Software Logistics Network Optimization Software Supply Chain Software 82

Logistics Viewpoints

MARCH 27, 2025

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. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning. billion to $23.07

Supply Chain Planning Software 133

Supply Chain Planning Software Optimization Software Supply Chain Software Logistics Network Optimization Software 133

Logistics Viewpoints

FEBRUARY 17, 2021

Due to the complexity, most organizations revert to a more simplistic, static model. Machine learning is so powerful because it can ingest large amounts of shipment data and automatically determine which attributes have an impact in a given situation. IoT technology is making visibility data more robust and readily available.

Supply Chain Planning Software 145

Supply Chain Planning Software Logistics Network Optimization Software Modeling Software Supply Chain Software 145

Logistics Viewpoints

FEBRUARY 26, 2025

Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing. The specific origin data reinforces De Beers’ commitment to consumer confidence , transparency and ethical sourcing. ERP & SCM Systems (2000s2015): Centralized ERP suites (e.g.,

Supply Chain Software 93

Supply Chain Software Supply Chains Optimal Sourcing Modeling Software 93

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

Logistics Viewpoints

MARCH 24, 2025

DES allows the modeling of complex warehouse operations at various levels of detail. Building a detailed DES model may be a time-intensive activity, but it pays dividends in bringing insights into the operations of a warehouse. Typically, modeling is done by highly trained engineers with an industrial engineering background.

Modeling Software 63

Modeling Software Optimization Software Optimization Modeling Logistics Network Optimization Software 63

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. CarrierDirect advises clients on the elements of their business most vital to success: strategy, organizational structure, compensation, technology, training, recruiting, workflows, processes, and more.

Supply Chain Planning Software 221

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Sourcing Strategies 221

Logistics Viewpoints

JUNE 10, 2024

When SAP refers to AI, it refers to generative AI based on large language models or AI based on machine learning. The manager would not be required to drill down through web page after web page and look at dense tabular data to get the answer. The Business AI also understands the SAP canonical data.

SAP 131

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 131

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 10, 2025

AI algorithms can analyze production data to optimize schedules and allocation of resources, increasing throughput and reducing production costs. AI can provide real-time insights and analytics, enabling manufacturers to make informed decisions based on accurate data. Manufacturers who implemented Industry 4.0

Manufacturing Procurement 62

Manufacturing Procurement ERP Supply Chain Design Software Modeling Software 62

Logistics Viewpoints

JANUARY 22, 2025

Training in areas such as robotics, AI, and data analytics would be crucial. Enhanced Crisis Response: Real-time analytics and predictive modeling can improve disaster preparedness and minimize disruptions, ensuring greater resilience in critical supply chains.

Supply Chain Software 138

Supply Chain Software Supply Chain Planning Software Supply Chains Cost Reduction 138

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

Logistics Bureau

AUGUST 16, 2021

For example, signs that a company is moving in the right direction, talent-wise, might include: The deployment of staff in new roles, absent the traditional supply-chain-centric titles and instead, hybridizing across data-science and logistics skill sets. 4: From Massive Production to Micro Supply Chain.

Supply Chain Planning Software 98

Supply Chain Planning Software Modeling Software Supply Chain Software Supply Chains 98

Logistics Viewpoints

APRIL 27, 2023

For example, monthly subscription fees, any software support charges, and data migration fees. Plan for training – An implementation will save you money and give you a competitive edge, but only if your employees know how to use the new system. Don’t be afraid to advocate for and invest in training to ensure a seamless transition.

Supply Chain Planning Software 115

Supply Chain Planning Software Modeling Software Logistics Network Optimization Software Supply Chain Software 115

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

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

Trinity Logistics

DECEMBER 8, 2023

the role of Generative AI, a subset of artificial intelligence that can generate data like what it’s trained on, is becoming significant. Alex had seen the wonders of electronic data interchange, warehouse management systems, and transportation management systems. As the industry pivots from Logistics 3.0 In Logistics 3.0,

Logistics Network Optimization Software 117

Logistics Network Optimization Software Modeling Software Supply Chain Software Price Reduction 117

Logistics Viewpoints

MAY 13, 2024

The public cloud gives Coupa visibility to $6 trillion in transactional data that passes through their platform. “15 15 years ago, Coupa got customers to agree they could leverage their data for the benefit of the community,” Ms. Supply chain collaboration data will then be mined over time to provide commodity-level alerts.

Procurement Solutions 119

Procurement Solutions Modeling Software Procurement Analytics Logistics Network Optimization Software 119

The Logistics of Logistics

NOVEMBER 18, 2022

Josh attended Bowdoin College and now lives in Lynnfield, MA with his wife and two daughters and spends any extra time he has coaching, training, playing music, or sharing stories with friends and family. All the components (hardware and software) are developed and tested following the Good Automated Manufacturing Practice 5 (GAMP 5) model.

Supply Chain Software 195

Supply Chain Software Case Study Logistics Network Optimization Software Optimization Software 195

Logistics Viewpoints

MAY 23, 2024

APS are complex, live production environments requiring extensive configuration to accurately model a business’s operational reality. Effective scenario testing also requires well-trained users proficient in the system’s functionalities, making it difficult to achieve accurate results quickly.

Scenario Planning 126

Scenario Planning Supply Chain Planning Software Supply Chain Design Software Supply Chain Software 126

Logistics Viewpoints

JUNE 5, 2023

ChatGPT is an AI text generating bot that was built on a family of large language models (LLMs). These models can understand and generate answers to text prompts because they’ve been trained on huge amounts of data. When the theme was specific, the engine did not have the correct data to generate a useful article.

Supply Chain Software 121

Supply Chain Software Supply Chains Modeling Software Logistics Network Optimization Software 121

Trinity Logistics

AUGUST 22, 2024

It has become a term applied to applications that can perform tasks a human could do, like analyzing data or replying to customers online. Machine Learning is just that – a machine or program that can learn from data. In the 2000s, big data came into play, giving AI access to massive amounts of data from various sources.

Modeling Software 118

Modeling Software Optimization Software Optimal Sourcing Logistics Network Optimization Software 118

Logistics Business Magazine

SEPTEMBER 7, 2023

Most shippers, carriers and logistics service providers understand the importance of data collection and data-driven decision-making. Data collected over time provides intelligence, enabling companies to enhance long-term decision-making. Artificial intelligence is a potent tool that helps companies get the most from their data.

Logistics Network Optimization Software 61

Logistics Network Optimization Software Data Modeling Software Negotiating Skills 61

Freightos

SEPTEMBER 17, 2024

Blog More Resources Home It’s Not About Chatbots: Getting Real on AI Usage In Real Life Logistics (AI Popup #5) AI Popup #5 September 17, 2024 Dive deeper into freight data that matters Learn More It’s so hard to talk about AI without sounding pretentious or annoying. The model would be trained on our own customer data.

Supply Chain Software 117

Supply Chain Software Supply Chain Design Software Supply Chain Planning Software Logistics Network Optimization Software 117

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

Blue Grace Logistics

MARCH 26, 2024

What you will learn in this blog: Leveraging Data Analytics For Invaluable Insights Implementing Lean Principles for Waste Reduction Effective Management Of Supply Chain Costs As companies navigate market fluctuations and challenges, effectively managing supply chain expenses becomes pivotal for success.

Negotiating Skills 117

Negotiating Skills Cost Reduction Waste Reduction Inventory Reduction 117

Logistics Viewpoints

FEBRUARY 18, 2025

People have to enter data, analyze outputs and proactively execute tasks. Centralizing data without IT integrations: Digital workers dont need standardized documents and information. They therefore create opportunities for reskilling and upskilling employees and training them to manage high-impact exceptions and escalations.

Logistics Network Optimization Software 64

Logistics Network Optimization Software Supply Chain Planning Software Supply Chain Design Software Modeling Software 64

Logistics Viewpoints

JULY 29, 2021

Machine learning is a process by which learning algorithms are applied to large sets of data to create predictive models. First, DCs are a controlled environment for collecting and aggregating historical and real-time data – and data is a key to effective AI. AI-Based Warehouse Optimization Examples.

Supply Chain Planning Software 130

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 130

GlobalTranz

SEPTEMBER 16, 2015

And, we can only do that if we step up to the plate as companies and people with great training, great technology, and great leadership. Model companies are outperforming others in large part because they manage and train differently. Training Best Practices.

White Paper 103

White Paper Modeling Software Buyer Training Training 103