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 156

Data Supply Chain Design Software Supply Chain Planning Software Digital 156

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 141

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 141

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 113

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 113

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 178

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 178

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 187

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 187

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

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

AUGUST 23, 2021

Companies “seeking to increase data sharing and collaboration across their supply networks have faced three principal hurdles.” Those include trust issues, the operating model, and technology. The LevaData solution, for example, speeds up sourcing significantly. The remainder of this article will focus on the technology issues.

Collaboration 170

Collaboration Supply Chain Planning Software Optimal Sourcing Modeling Software 170

Logistics Viewpoints

JANUARY 21, 2021

Machine learning (ML) techniques can be applied to provide more accurate transit information and estimated arrival times (ETAs) by analyzing the historical shipment data in your transportation management systems. The model learns continuously and can adapt to changing conditions in the network.

Inventory Reduction 213

Inventory Reduction Supply Chain Planning Software Cost Reduction Logistics Network Optimization Software 213

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

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 166

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 166

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 147

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 147

Logistics Viewpoints

AUGUST 1, 2024

By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. Top Challenges Faced by Companies: Customer Preferences: Example: An online fashion retailer faces the challenge of constantly changing customer preferences.

Supply Chain Design Software 163

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Scenario Planning 163

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 113

Supply Chain Planning Software Modeling Software Supply Chain Software Supply Chains 113

Logistics Viewpoints

FEBRUARY 8, 2021

Led some supply chain planning supplier to create new digital twins – new supply chain models – that model this supply chain much deeper than it had been previously modeled. A more granular model means better planning – planning that more fully reflects the constraints that exist in these supply chains.

Supply Chain Planning Software 184

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 184

Logistics Viewpoints

NOVEMBER 4, 2024

Machine Learning occurs when a machine takes the output, observes its accuracy, and updates its model so that better outputs will occur. More recently, demand planning applications based on machine learning have improved forecasting by incorporating competitor pricing data, store traffic, and weather data.

Supply Chain Planning Software 167

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 167

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 137

Supply Chain Design Software Supply Chain Design Supply Chain Software Supply Chain Planning Software 137

Logistics Viewpoints

JANUARY 4, 2021

The theory is that as more and more devices throughout the supply chain and manufacturing process become part of the ‘Internet of Things,’ they will produce an incredibly rich data stream that will send signals in real-time to trigger a wide variety of events. Digital Twin Model Builders. PlanIQ includes Amazon Forecast.

Supply Chain Planning Software 204

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Modeling Software 204

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

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 Viewpoints

SEPTEMBER 19, 2023

The bullwhip effect is one example of this disruptive effect, when small changes in demand cause huge demand spikes downstream. Table 1 describes a few examples of these types of risks. Examples of disruptive risks are suppliers going out of business or shipwrecks that result in the loss of cargo containers.

Supply Chain Design Software 154

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 154

Logistics Viewpoints

MARCH 20, 2023

The supply chain planning market got started when supply chain models were put into in-memory databases in the early 1990s. Data is stored just like you might sketch ideas on a whiteboard. Those insights are driven from data connections across the vast amounts of data these companies have access to. This is much faster.

Supply Chain Planning Software 140

Supply Chain Planning Software Modeling Software Procurement Solutions Supply Chain Software 140

Logistics Viewpoints

FEBRUARY 20, 2024

This article describes how to incorporate simulation techniques into optimization, build a stochastic optimization model, and end up with a more resilient supply chain model. Supply Chain Network Design Components SCND team’s first goal is to build a baseline model that represents the current state of the business.

Supply Chain Design Software 153

Supply Chain Design Software Sourcing Strategies Supply Chain Design Inventory Reduction 153

Logistics Viewpoints

MAY 26, 2022

For example, some newer robotic systems can efficiently automate small picking use cases such as in-store fulfillment of grocery orders. Many organizations have learned the hard way this is harder to accomplish when selecting and deploying a myriad of point solutions from multiple providers with multiple data models.

Supply Chain Software 173

Supply Chain Software Optimal Sourcing Supply Chain Design Software Logistics Network Optimization Software 173

Logistics Viewpoints

AUGUST 12, 2024

This transformation seeks to use data, digital ecosystems, and AI to enhance data driven decision-making. In terms of the commercial operation, it seeks to provide greater value to dealer customers by arming their sales representatives with more actionable data on what the dealers will likely need to order. billion in 2023.

Supply Chain Planning Software 137

Supply Chain Planning Software Digital Supply Chain Design Software Scenario Planning 137

Logistics Viewpoints

APRIL 22, 2024

It analyzes new and historical order data, customer preferences, and transactions. GP describes Causal AI as a mixture of Knowledge AI and Data AI. Data AI empowers the system to analyze vast amounts of data, identify patterns, and generate probabilistic outcomes in near real-time. It’s a different way of working.”

Optimal Sourcing 152

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 152

Logistics Viewpoints

APRIL 4, 2024

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

Scenario Planning 154

Scenario Planning Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 154

Logistics Viewpoints

MAY 22, 2023

For it to be an optimal solution, a mathematical model needs to be used. That model can then be used to analyze every new situation that arises. The model will help a company find a solution that is best for their relocated employees as a whole. First comes the data and how well we understand it.

Supply Chain Design Software 119

Supply Chain Design Software Supply Chain Design Supply Chain Software Modeling Software 119

Logistics Viewpoints

MARCH 4, 2024

A good example is saying “What are my demurrage issues at the Port of Long Beach?” This check involves connecting carrier contract data and shipment dwell times. They look at the data and ask themselves, “is this a problem?” It is data in context. The digital assistant becomes that analyst. It is a visual control.

Modeling Software 148

Modeling Software Supply Chain Software Nodes Logistics Network Optimization Software 148

Logistics Viewpoints

DECEMBER 14, 2023

Organizations must take the following steps to bring departments together to create truly resilient and sustainable supply chains: Leverage external data to sense market shifts Look to external causal factors and forecasting models to identify market shifts. <br>- Use external data for forward-looking decisions.

Supply Chain Design Software 155

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Optimal Sourcing 155

Logistics Viewpoints

MARCH 27, 2023

Demand forecasts are improved with access to downstream data (point of sale, Nielsen retail data, and access to competitor promotion schedules). Other external data, like industry data or economic data, is used for other types of forecasts. Demand models need to be continuously updated. This sounds obvious.

Supply Chain Planning Software 126

Supply Chain Planning Software Scenario Planning Optimal Sourcing Supply Chain Software 126

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 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 68

Modeling Software Supply Chain Design Software Supply Chain Planning Software Optimization Software 68

Logistics Viewpoints

JUNE 3, 2024

However, the disconnect can also occur because the supply plan not only lacks sufficient granularity in modeling the constraints that occur in manufacturing, but the model is also not granular enough in its understanding of warehousing and transportation constraints.

Supply Chain Planning Software 153

Supply Chain Planning Software Scenario Planning Supply Chain Software Supply Chains 153

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 112

Supply Chain Software Logistics Network Optimization Software Modeling Software Supply Chains 112