Logistics Viewpoints

JANUARY 16, 2023

Matt Elenjickal, the Founder and Chief Executive Officer of FourKites, has pointed out that “data is the raw fuel of a digital transformation.” But it must be quality data! When enterprise implementations take longer than expected, almost all do, the amount of time needed to clean up the data is often the leading factor.

Data 147

Data Digital Supply Chain Planning Software Supply Chain Software 147

Logistics Viewpoints

NOVEMBER 26, 2024

Our daily lives are inundated with data. Supply chain teams face a similar dilemma – companies are overloaded with vast amounts of data, and the ability to sift through the noise and focus on relevant insights has become a critical capability. Why Context Matters Context transforms data into actionable insights.

Resource Reduction 152

Resource Reduction Supply Chain Planning Software Inventory Reduction Sourcing Strategies 152

Trinity Logistics

SEPTEMBER 28, 2022

However, another thing we’ve learned over the last few years is that sometimes a news source may not be the most reliable. From social media, public opinion, company-specific data, and political forums, there’s an unlimited number of news sources available, so finding trusted information is as important as ever.

Sourcing 112

Sourcing Freight Tips Article 112

Logistics Viewpoints

JANUARY 11, 2021

Jeff Tramel, the Vice President of Global Procurement, at NTT DATA Services. SAP recently announced that NTT DATA Services, a global digital business and IT services company, had achieved $125 million in value based on a digital transformation of their procurement function. And more importantly, how did NTT DATA do it?

SAP 122

SAP Optimal Sourcing Negotiate Pricing Negotiating Skills 122

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

MTS Logistics

MARCH 13, 2024

For the first time, there is real-world data that shows that wind power could be a viable source of energy to power container ships in the near future. Encouraging data has been released on using wind power for powering a cargo ship, according to the BBC.

Examples 82

Examples Material Savings Sourcing Data 82

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. Share data for partnership and growth.

Manufacturing Procurement 105

Manufacturing Procurement Data Modeling Software Optimization Software 105

Logistics Viewpoints

AUGUST 15, 2022

Of the professionals surveyed, 59% saw the gap between procurement/sourcing and supply chain to be a major disconnect, and the most pressing pain point. A MSCN is a collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds.

Manufacturing Procurement 161

Manufacturing Procurement Procurement Analytics Optimal Sourcing ERP 161

Logistics Viewpoints

FEBRUARY 20, 2024

Demand is at the Heart of Supply Chain Network Design The first step in the SCND process is translating business rules into a set of data inputs: demand, products, customers, sites, shipment rules, production details, and various constraints. Every forecast typically begins with internal company historical shipment data.

Supply Chain Design Software 168

Supply Chain Design Software Sourcing Strategies Supply Chain Design Inventory Reduction 168

Logistics Viewpoints

AUGUST 23, 2021

Companies “seeking to increase data sharing and collaboration across their supply networks have faced three principal hurdles.” A SCCN is a collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds.

Collaboration 178

Collaboration Supply Chain Planning Software Optimal Sourcing Modeling Software 178

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. By identifying these gaps, you can create sourcing events to close them.

Supply Chain Design Software 167

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

Logistics Viewpoints

MARCH 4, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. This includes internal and external data sources.

Supply Chain Planning Software 172

Supply Chain Planning Software Scenario Planning Supply Chain Software Optimal Sourcing 172

Logistics Viewpoints

JUNE 15, 2021

For example, the traditional approach to workforce planning is to use an engineered labor standards system. In contrast, a machine learning solution uses algorithms to analyze warehouse data and develop a predictive model for workforce planning. Rapidly identify and implement other process improvements.

Optimal Sourcing 160

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 160

Logistics Viewpoints

JANUARY 13, 2022

As organizations look for reducing dependencies on concentrated sources of supply, Eastern Europe, Mexico, and South Asian countries will start providing viable alternatives to the current manufacturing powerhouse countries. American Supply Chain Resilience Act and the German Supply Chain Act are just two examples of this.

Supply Chain Design Software 173

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 173

Logistics Viewpoints

MAY 13, 2024

This technology allows businesses to unify their procurement, expense management, invoicing, payments, sourcing, contract management, and spend analysis processes and reporting. The public cloud gives Coupa visibility to $6 trillion in transactional data that passes through their platform. “15 The best data makes for the best AI.

Procurement Solutions 160

Procurement Solutions Modeling Software Procurement Analytics Logistics Network Optimization Software 160

Logistics Viewpoints

MAY 23, 2022

The devices will improve visibility by transmitting data on a real-time basis from each container. Tracking devices from Nexxiot and ORBCOMM are being installed that will provide location data based on GPS, measure temperature, and monitor any sudden shocks to the container. It has so many data points.”.

Supply Chain Planning Software 154

Supply Chain Planning Software Optimal Sourcing Supply Chains Procurement Solutions 154

Logistics Viewpoints

APRIL 8, 2024

These solutions use natural language processing, for example, to read online publications and other data sources, make sense of what they read, contextualize the data into information, and report supply chain disruptions caused by weather, geopolitical events and other hazards in near real-time.

Supply Chain Software 169

Supply Chain Software Supply Chains Manufacturing Procurement Logistics Network Optimization Software 169

Logistics Viewpoints

APRIL 19, 2023

Second, what is autonomous planning in supply chain, and what are some practical examples? These decisions are made in a synchronized manner, using real-time or near real-time data, AI/ML and optimization technology, while having the humans setting the goals and managing the parameters. Below are some key points from our discussion.

Supply Chain Planning Software 162

Supply Chain Planning Software Optimal Sourcing Scenario Planning Manufacturing Procurement 162

Logistics Viewpoints

NOVEMBER 4, 2024

More recently, demand planning applications based on machine learning have improved forecasting by incorporating competitor pricing data, store traffic, and weather data. ML techniques like clustering, data similarity, and semantic tagging can automate master data management.

Supply Chain Planning Software 180

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 180

Logistics Viewpoints

APRIL 3, 2023

Aera is using data crawlers to crawl across billions of rows of transactional data on a monthly basis. This is combined with data from external sources on weather, logistics lead times, and sustainability performance. They are designed to have minimal impact on the performance of the underlying source systems.

Supply Chain Planning Software 181

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Supply Chain Design 181

Logistics Viewpoints

JUNE 26, 2024

GIS is a powerful tool that enables the analysis and visualization of spatial data, allowing for the integration of geographical elements into transportation planning and management. This data is geographically referenced and can be used to monitor real-time traffic conditions.

Sourcing Strategies 168

Sourcing Strategies Optimization Software Optimal Sourcing Logistics Network Optimization Software 168

Logistics Viewpoints

MAY 3, 2021

An SCCN can also access pertinent third-party data feeds. Solutions that fall under the definition of SCCN would include EDI VANs (electronic data interchange value added networks), industry marketplaces, and collaborative supply chain applications that are built on public cloud architectures. That improves warehouse operations.

Supply Chain Software 154

Supply Chain Software Supply Chains Manufacturing Procurement Optimal Sourcing 154

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. forecasting product sales at 10,000 stores. This sounds obvious.

Supply Chain Planning Software 138

Supply Chain Planning Software Scenario Planning Optimal Sourcing Supply Chain Software 138

Logistics Viewpoints

FEBRUARY 24, 2021

And stay tuned to the end of the interview for a quick breakdown of how to use data analytics to help streamline your business. In the midst of all this disruption, what really mattered was all the internal and external sources of signals that were processed right and converted into smart decisions. First is data quality.

Supply Chain Planning Software 127

Supply Chain Planning Software Supply Chain Software Scenario Planning Supply Chains 127

Logistics Viewpoints

JANUARY 18, 2024

1) Streamlined Data Flow and Process Automation Is all about AI At the heart of effective supply chain automation lies the seamless flow of data across various sources and digital platforms, akin to a well-constructed highway for data. 2) AI-Infused Data Quality Assurance Ok, we built the proverbial highway.

Supply Chain Software 178

Supply Chain Software Supply Chain Planning Software Supply Chain Design Software Supply Chain Design 178

Material Handling and Logistics

OCTOBER 30, 2018

With the digitization of the source-to-pay process being a key initiative for many chief procurement officers, to the inherent automation which promises to accelerate innovations such as artificial intelligence (AI), digitization is growing. In a recent Forrester study, they found the problem to be poor quality data.

Optimal Sourcing 166

Optimal Sourcing Procurement Solutions Procurement Analytics Procurement 166

Logistics Viewpoints

SEPTEMBER 23, 2024

Here are some different sources and their very different numbers: The first question is why the Department of Energy has these kinds of statistics. Statista is a German online platform that specializes in data gathering and visualization. However, this is old data. Why not the Department of Commerce? Then there is Statista.

Manufacturing Procurement 169

Manufacturing Procurement Warehousing Refrigeration Survey 169

Logistics Viewpoints

MARCH 27, 2024

Examples of Supply Chain Robots at MODEX 2024 Several exhibitors at MODEX 2024 showcased their innovative solutions for supply chain robotics, demonstrating the diversity and potential of this field. Here are some of the examples that caught our attention.

Optimization Software 159

Optimization Software Logistics Network Optimization Software Optimal Sourcing Supply Chain Software 159

Logistics Viewpoints

AUGUST 16, 2021

ARC’s definition is that a supply chain collaboration network is a “collaborative solution for supply chain processes built on a public cloud – many-to-many architecture – which supports a community of trading partners and third-party data feeds. Industry and government data can be used to increase forecast accuracy.

Supply Chain Planning Software 178

Supply Chain Planning Software Supply Chain Software Supply Chains Digital 178

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 185

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Supply Chain Software 185

Logistics Viewpoints

OCTOBER 24, 2024

SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. For example, a buyer might say, “You only shipped me 800 of the 1000 products I ordered.”

SAP 157

SAP Procurement Solutions Manufacturing Procurement Procurement Analytics 157

Logistics Viewpoints

OCTOBER 10, 2022

Implementing the solution involved cleaning up master data and mapping their complete global supply chain. Risk management solutions scrape data from hundreds of thousands of online & social-media sites, but Autoliv also has access to sources of information that they pay for. The implementation was not trivial.

Supply Chain Planning Software 164

Supply Chain Planning Software Supply Chain Software Supply Chains Optimal Sourcing 164

SYSPRO Smarter ERP

MARCH 20, 2024

In recent years, the amount of data available to most companies has exploded. Common issues include: Lack of data-source integration. The ability to gather and compare data from multiple sources is vital to making real-time decisions. Data warehousing costs rise. Scarce manpower. Human error.

Manufacturing Procurement 105

Manufacturing Procurement Optimal Sourcing Expense Reduction Cost Reduction 105

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 167

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 167

Logistics Viewpoints

JANUARY 25, 2024

Instead start with the foundation of your AI strategy, which should be an understanding of your company’s supply chain and your data. Consider a planner in Brazil working with the previous lead time prediction example, who has forgotten how to update the parameters. Because it doesn’t understand, we need humans at the helm.

Supply Chain Planning Software 170

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 170

Logistics Viewpoints

MARCH 9, 2023

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.

Supply Chain Planning Software 148

Supply Chain Planning Software Supply Chain Software Scenario Planning Optimization Software 148

Logistics Viewpoints

JULY 28, 2021

There are a variety of external data streams that also play a role in providing better visibility and improved ETAs. Companies are partnering with data aggregators to get a better idea of when shipments will arrive. However, the nuances and granularity of the data will vary depending on the mode.

Transportation 157

Transportation Supply Chain Software Logistics Network Optimization Software Manufacturing Procurement 157