Logistics Viewpoints

NOVEMBER 18, 2024

Energy management solutions are products that energy utilities use to produce power and data centers use to consume power. Schneider Electric’s Journey with Network Design Lee Botham is the global director of modeling and network design at Schneider Electric. Initially, regions generating lower revenue were modeled.

Supply Chain Design Software 120

Supply Chain Design Software Supply Chain Design Supply Chain Software Supply Chain Planning Software 120

Material Handling and Logistics

DECEMBER 14, 2018

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. More data is coming in than ever before.

Supply Chain Software 166

Supply Chain Software Optimal Sourcing Supply Chains Data 166

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

WorkWave

MARCH 4, 2025

As businesses strive to stand out, leveraging data effectively has become a game-changer. One of the most powerful yet underutilized tools for achieving this is decile data analytics. What Is Decile Data? The resulting data makes it easier to make smart data driven decisions on individuals that make up service target markets.

Resource Reduction 63

Resource Reduction Waste Reduction Optimization Software Data 63

AIMMS

JUNE 16, 2020

How are companies leveraging scenario modeling for network design and optimization ? The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

Scenario Planning 144

Scenario Planning Supply Chain Design Software Supply Chain Design Optimization Modeling 144

MTS Logistics

OCTOBER 29, 2024

By analyzing real-time data from various sources, companies can make proactive decisions that improve collaboration among stakeholders, boost operational resilience, and increase customer satisfaction. Data privacy concerns are paramount, as AI systems rely on vast amounts of sensitive information.

Optimal Sourcing 105

Optimal Sourcing Supply Chain Planning Software Logistics Network Optimization Software Optimization Software 105

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

JANUARY 24, 2022

A network effects business model allows a company to gain more value as more companies use its products or services. Google and Twitter mainly monetize the data through targeted advertising. Google and Twitter mainly monetize the data through targeted advertising. FedEx enriches this data with weather and traffic data.

Data 125

Data Logistics Network Optimization Software Packaging Sorting 125

Logistics Viewpoints

DECEMBER 2, 2024

During COVID, this more agile and resilient model allowed the firm to grow their market share. An iGPU (integrated graphic processing unit) is a current example. As an example, if we have congested lanes, the system will automatically flag that we have a potential risk of delay based. Factories serve local markets.

Supply Chain Planning Software 112

Supply Chain Planning Software Supply Chain Software Scenario Planning Supply Chains 112

Logistics Viewpoints

MARCH 10, 2025

Returns, Mr. Tollefson pointed out, is an example of an application that must have the network at its core. Blue Yonder and Agentic AI Blue Yonder announced they were working with Snowflake, a company providing an enterprise data fabric solution, to transform access to disparate data for supply chain management in March of 2022.

Supply Chain Planning Software 113

Supply Chain Planning Software Supply Chain Design Software Modeling Software Logistics Network Optimization Software 113

Logistics Viewpoints

MARCH 3, 2025

What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. We needed to model the data in a way that we can do simple searching. We spent hours and hours looking for data, whether it was for audits, compliance, or just basic troubleshooting. Data does not move.

Packing 73

Packing Supply Chain Design Software Negotiating Skills Supply Chain Planning Software 73

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

DECEMBER 18, 2024

Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency. The company shared examples of its long-term collaborations with businesses such as Texas Instruments and Home Depot.

Supply Chain Design Software 98

Supply Chain Design Software Supply Chain Planning Software Modeling Software Optimization Software 98

SYSPRO Smarter ERP

SEPTEMBER 27, 2021

Data is a crucial component of digital transformation in the manufacturing sector. However, data in itself is not a value driver. Many manufacturers aren’t maximizing the value from enriching data and missing out on opportunities to grow, optimize or manage risk. Create new revenue models.

Manufacturing Procurement 105

Manufacturing Procurement Data Modeling Software Optimization Software 105

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 74

SAP Modeling Software Logistics Network Optimization Software Supply Chain Software 74

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

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

MARCH 6, 2025

Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains.

Price Reduction 83

Price Reduction Material Savings Cost Reduction Waste Reduction 83

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. Analyze and track your carbon footprint using logistics data.

Data 101

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

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

IoT World Today

OCTOBER 15, 2020

Indeed, some organizations spent several years laying the foundations for data-driven strategy and remote operations even prior to COVID-19. Data-Driven Strategies Become Core Value Proposition. This core principle of creating value through logistics data has ricocheted throughout FedEx’s IT restructuring and its future plans.

Waste Reduction 122

Waste Reduction Cost Reduction Strategy Supply Chain Design Software 122

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 60

Modeling Software Optimization Software Optimization Modeling Logistics Network Optimization Software 60

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

Logistics Viewpoints

OCTOBER 24, 2024

SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. For example, a buyer might say, “You only shipped me 800 of the 1000 products I ordered.” SAP’s Business Network is a supply chain collaboration network.

SAP 116

SAP Procurement Solutions Manufacturing Procurement Procurement Analytics 116

3PL Links

NOVEMBER 12, 2024

Solution: Use data-driven forecasting to predict demand as accurately as possible. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.

Cost Reduction 62

Cost Reduction Material Savings Supply Chain Software Supply Chain Planning Software 62

FreightWaves SONAR

OCTOBER 25, 2021

Direct access to SONAR Lane Score within MacroPoint Capacity helps brokers maximize efficiency by bringing in useful data into one platform. This Descartes-FreightWaves partnership combines two leading technology solutions to address the challenges associated with historical lane modeling.

Capacity 97

Capacity Modeling Software Data Logistics Network Optimization Software 97

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

FreightWaves SONAR

JANUARY 7, 2021

Through data-driven transportation management , carriers can finally become more strategic and tactical, thriving through good and bad times. Achieving that goal hangs on a carrier’s ability to capture meaningful data. Autonomous processes are only as valuable as the data that powers algorithms and decision-making.

Supply Chain Software 98

Supply Chain Software Supply Chain Design Software Supply Chain Design Automation 98

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. Basic WMS Cost Categories. WMS Software Cost Drivers.

Modeling Software 221

Modeling Software Logistics Network Optimization Software Cost Reduction Vendor Strategies 221

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. Bringing Production Closer to the Customer.

Supply Chain Planning Software 98

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

Logistics Viewpoints

JUNE 15, 2021

As a DC planning tool, machine learning represents an alternative to traditional engineering and process modeling. For example, the traditional approach to workforce planning is to use an engineered labor standards system. Finally, the more complex the engineered model, the longer it takes to process the data and provide an output.

Optimal Sourcing 124

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 124

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. For example, is an SKU typically ordered by the pallet, carton, split carton, or individual unit?

Modeling Software 72

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

Log-hub

FEBRUARY 12, 2025

By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. Instead of static data, AI-powered systems continuously update matrices based on real-time inputs like demand fluctuations and shipping delays.

Supply Chain Planning Software 52

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

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

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 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. I might tell Alexa, for example, “Play the station Smooth Jazz!” 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.

SAP 130

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 130

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 128

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 128