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. These data sources are often spread across multiple platforms and come in various formats.

Supply Chain Planning Software 284

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 284

The Logistics & Supply Chain Management Society

AUGUST 19, 2022

Applying innovation to supply chains, combines innovative technologies like the Internet of Things (IoT), analytics, and robotics to supply chain management to improve performance and meet customer demands. brings innovations like IoT, robotics, data analytics, and other technologies to improve supply chain management and improve performance.

Supply Chain Disruption 246

Supply Chain Disruption Optimal Sourcing Supply Chain Software Agile and Lean Supply Chain 246

AIMMS

FEBRUARY 9, 2017

If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term Prescriptive Analytics. Prescriptive Analytics is a type of Advanced Analytics that results in a recommended action. According to Gartner’s Forecast Snapshot , the Prescriptive Analytics software market will reach $1.1

Prescriptive Analytics Software 120

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Predictive Analytics 120

ToolsGroup

JUNE 15, 2023

With more visibility and predictive forecasting. Several use case sessions focused on the Importance of Real-Time Data to capture signals quickly, enabling better decision making faster within the supply chain. Analytics in the past were backward looking. Prescriptive analytics. Does not require real-time data.

Gartner 293

Gartner Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 293

Supply Chain Shaman

AUGUST 1, 2013

The traditional supply chain is designed to support high volume, predictable items in known markets. Use new forms of analytics to learn from channel sales. Use New Forms of Analytics to Drive Demand and Supply Orchestration. Focus on the Use of New Forms of Analytics in Horizontal Processes. Why do we need to change?

Modeling 231

Modeling Supply and Demand Supply Chain Design Software Optimal Sourcing 231

ivalua

APRIL 12, 2019

Anyway, there were also a couple of very good customer cases studies, but we’ll save those for a future discussion and focus on AI here. The strategy for the firm is to embed AI onto the core Ivalua platform for multiple use cases across the whole source to pay process. Fresh mint, maybe? Or aluminium, perhaps?)

Analytics Software 176

Analytics Software Negotiating Skills Supply Chain Planning Software Predictive Analytics Software 176

ToolsGroup

JANUARY 30, 2018

The next step is to accurately predict the uplift from baseline expected to be generated by the promotion so that supply chains can optimize inventory to properly support the promotion. But two-dimensional spreadsheets, however transparent, are incapable of handling the many different variables and data sources involved.

Forecasting 184

Forecasting Forecasting Software Supply Chain Planning Software Analytics Software 184

ToolsGroup

DECEMBER 11, 2018

Source: Gartner 2018. Our first Gartner machine learning customer case study appeared five years ago. They added, “As more industrial Internet of Things (IoT) rolls out across factories, more supply-side data becomes available, which should encourage more supply planning machine learning use cases.”

Supply and Demand 214

Supply and Demand Supply Chain Planning Software Supply Chain Planning Demand Planning 214

Arena Solutions

OCTOBER 10, 2024

Succeeding at Strategic Sourcing With Arena and Part Analytics Learn more about the integration between Arena and Part Analytics here. Full transcript below: Heatherly Bucher Welcome to our session on Succeeding at Strategic Sourcing. This commitment was what led us to partner with Part Analytics.

Analytics Software 62

Analytics Software Negotiating Skills Sourcing Strategies Purchasing Skills 62

Talking Logistics

DECEMBER 16, 2015

Well, my big audacious prediction for 2015 did not come true. But some of my other predictions did hit the mark or came close. Making supply chain and logistics predictions is like throwing darts at a moving target. When making predictions, it’s easy to look at recent trends and simply project them forward.

Predictive Analytics Software 120

Predictive Analytics Software Supply Chain Planning Software Supply Chain Design Software Logistics Network Optimization Software 120

Supply Chain Shaman

MAY 5, 2017

Experiment with attribute-based planning and probabilistic forecasting to better predict the long tail. I like the work that Rulex Analytics and Elemica are doing on mapping the context of data to improve supply chain planning master data. I am also featuring a paperless manufacturing case study from Agco using Proceedix at the Summit.

Supply and Demand 173

Supply and Demand Modeling Demand Planning Software Supply Chain Planning Software 173

Supply Chain Shaman

FEBRUARY 23, 2017

For this case study we interviewed Ralf Busche, Senior Vice President of Global Supply Chain Strategy and Performance. Our goal in writing these case studies is to share insights from the Supply Chains to Admire winners from 2016. We are very excited about business analytics. Here we share the interview with Ralf.

Agile and Lean Supply Chain 156

Agile and Lean Supply Chain Supply Chain Design Software Supply Chain Design Supply Chain Planning Software 156

Supply Chain Shaman

MARCH 21, 2022

” Corporations serve international markets, and the source of rare minerals (so critical for the evolution of the green supply chain) is primarily Asia. Others argue the demise of global sourcing; might I add caution? My response is “Hogwash.” By definition, this requires a global supply chain. A Need to Rethink Work.

Modeling 284

Modeling Supply Chain Planning Software Supply and Demand Supply Chain Design Software 284

Supply Chain Shaman

FEBRUARY 25, 2016

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. High-velocity or streaming data requires different architectures built on non-relational, cloud-based architectures using open source tools like Apache Spark. As a result, many companies are struggling. The reason?

Supply and Demand 150

Supply and Demand Prescriptive Analytics Software Supply Chain Design Software Supply Chain Planning Software 150

ThroughPut

DECEMBER 6, 2023

Thanks to the more advanced forms of supply chain analytics like predictive analytics, supply chains are proactively looking into the future and prepping for “what is to come” rather than only ruminating over “what already happened.” What Is Predictive Analytics for Supply Chain?

Predictive Analytics 52

Predictive Analytics Prescriptive Analytics Software Analytics Software Predictive Analytics Software 52

Exiger Perspectives

OCTOBER 25, 2024

Through risk scoring and AI-powered analytics, procurement teams can identify vulnerabilities, monitor threats, and make informed decisions about where to focus their efforts. This ability to predict and prevent disruptions is critical to maintaining operational continuity and resilience.

Material Savings 52

Material Savings Optimal Sourcing Cost Reduction Strategies Manufacturing Procurement 52

Supply Chain Shaman

FEBRUARY 25, 2018

The path is one that I could not have predicted. I could not have predicted the founder of AMR Research selling the company to Gartner Group. Machine learning and rules-based ontologies are mapping the data automatically sourced from data lakes. I handpick the case studies. (I I have confirmed four case studies.)

Supply Chain Planning Software 156

Supply Chain Planning Software Gartner Supply Chain Software Supply Chain Planning 156

ThroughPut

MARCH 28, 2024

Food Production AI tools can drive advanced predictive analytics with precision forecasting for weather and crop yield predictions. Food Retail In the food retail sector, AI has been helping reduce wastage as the tools can more accurately predict the demand for products. All for the good.

Case Study 52

Case Study Optimal Sourcing Food Supply Chain Planning Software 52

SCMDOJO

JUNE 27, 2024

Impact of Political Stability in Oil-Producing Regions Political instability in key oil-producing regions can disrupt supply lines and inflate costs, necessitating robust contingency planning and diversification of supply sources. Artificial Intelligence (AI) : Improves decision-making through predictive analytics and machine learning.

Sourcing Strategies 98

Sourcing Strategies Price Reduction Vendor Strategies Inventory Reduction 98

Supply Chain Shaman

DECEMBER 7, 2016

The first discussion was on the progression of analytics. The CEO’s solution is predictive analytics. We discussed the evolution of pattern recognition software and prescriptive analytics. We then discussed the evolution of cognitive analytics: the extension of machine learning based on semantic reasoning.

Supply Chain Planning Software 180

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Prescriptive Analytics Software 180

o9 Solutions

JUNE 27, 2021

Microsoft Data, Analytics, and AI Partner Case Study Program. The o9 solution integrates multiple technology innovations into one platform, including graph-based enterprise modelling, big data analytics, advanced algorithms for scenario planning, collaborative portals, easy-to-use interfaces, and cloud-based delivery.

Analytics Software 83

Analytics Software Supply Chain Planning Software Supply Chain Design Software Forecasting Software 83

NC State SCRC

NOVEMBER 15, 2017

The focus was on the impact of AI on supply chain decision-making, and I spoke about a recent case study on IBM’s application of Watson to their own supply chain. Data governance was a challenge, as there often existed multiple versions of data and no single source of truth.!

Case Study 51

Case Study Supply Chain Design Software Agile and Lean Supply Chain Supply Chain Planning Software 51

Supply Chain Shaman

APRIL 27, 2016

This is no longer the case. With cloud-based analytics, non-relational database open source code sharing and advancements in predictive, prescriptive and cognitive analytics, what is old, can become new again. It also does not allow for the deployment of community-based analytics to test and learn.

Supply Chain Network Software 150

Supply Chain Network Software Prescriptive Analytics Software Supply Chain Design Software Analytics Software 150

Talking Logistics

JUNE 29, 2017

As I wrote two years ago in my supply chain and logistics predictions for 2015 : Historically, Supply Chain Design was an exercise companies undertook at most once a year, or when a significant change occurred in their supply chain, such as an acquisition. Source: LLamasoft.

Supply Chain Design Software 73

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Supply Chain Planning 73

ThroughPut

DECEMBER 8, 2023

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain? How should the supplier perform?

Prescriptive Analytics Software 52

Prescriptive Analytics Software Optimal Sourcing Modeling Procurement Analytics 52

Elementum

DECEMBER 14, 2023

As intelligent systems learn from data, they become better at predicting outcomes, streamlining operations, and enhancing customer experiences. By leveraging machine learning algorithms and data analytics, businesses are able to automate complex tasks that were previously manual, enhancing efficiency and productivity.

Sourcing Strategies 78

Sourcing Strategies Supply Chain Software Optimal Sourcing Predictive Analytics Software 78

ThroughPut

JUNE 19, 2024

Inaccurate predictions, especially for seasonal and short-lifecycle products, can severely impact operations. To mitigate these risks, the F&B sector must harness advanced analytics and machine learning. How to Accurately Predict Demand in the F&B Industry with ThroughPut AI?

Supply and Demand 52

Supply and Demand Predictive Analytics Software Demand Planning Software Supply Chain Planning Software 52

ModusLink Corporation

APRIL 22, 2024

Continuous improvement initiatives driven by data analytics and feedback mechanisms. Predictive analytics to anticipate supply chain disruptions and mitigate risks. Environmental Sustainability Initiatives: Commitment to sustainable practices and ethical sourcing throughout the supply chain.

Electronics 78

Electronics 3PL Optimal Sourcing Waste Reduction 78

Vanguard Software

APRIL 16, 2021

While the transformational power of AI is evident, too much faith is put into supply chain simulation platforms that are neither accurate nor predictive. This last factor, also known as predictive analytics , is the basis for successful supply chain simulation software. Scenario Planning During COVID-19. Scenario Analysis.

Modeling 52

Modeling Supply Chain Planning Software Scenario Planning Supply Chain Software 52

Logistics Bureau

DECEMBER 28, 2024

Digital & Technological Integration Beyond basic warehouse management systems, 3PLs are adopting artificial intelligence and machine learning to optimize routing, predict maintenance needs, and improve inventory management. The case of Netflix and Blockbuster is frequently cited. If your company is a 3PL, take heart.

3PL 74

3PL Trends Logistics Network Optimization Software Industrial 74

Infosys Supply Chain Management

FEBRUARY 4, 2013

Sourcing & Procurement. Sourcing & Procurement. ProcureEdge – Sourcing & Procurement. Case Studies. |. Predictive analytics uses several techniques to analyze past events to make predictions about future. Business Process Outsourcing. Customer Service. Human Resources.

Predictive Analytics 25

Predictive Analytics Predictive Analytics Software Analytics Software Analytics 25

Exiger Perspectives

MAY 28, 2024

This session explores compelling narratives with dynamic case studies and real-world examples, illuminating forced labor in even sophisticated supply chains and surfacing the innovative solutions that are empowering organizations to uphold ethical standards. Join us to promote ethical sourcing and end forced labor.

Gartner 52

Gartner Analytics Software Supply Chain Software Predictive Analytics Software 52

TMC

JANUARY 10, 2019

In our experience, we are typically pairing predictive analytics, machine learning, and API connectivity to accomplish digital transformations. highways, rail hubs, and ports is a major source of disruptions for shippers. Five Supply Chain Priorities for U.S. Infrastructure Investments. Congestion on U.S.

Supply Chain Software 62

Supply Chain Software Analytics Software Predictive Analytics Software Sourcing Strategies 62

NC State SCRC

MARCH 14, 2025

This paper, written by my colleague Joseph Yacura and myself, introduces a dual-agent framework, combining predictive and prescriptive capabilities for more robust and effective decision support. Implementing Generative Agents for Fault Tolerance: A Case Study Consider a supply chain network.

Modeling 52

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

Supply Chain Shaman

JUNE 6, 2015

I was running a factory, and I made a bet with the production team that I could schedule the lines through a heavy summer period and predict production needs adequately to predict when they could get weekends off to spend with their families. I used history to predict the future. If I won, they would cook me dinner. Why so long?

Supply Chain Planning Software 150

Supply Chain Planning Software Supply Chain Design Software Forecasting Software Demand Planning Software 150

ThroughPut

AUGUST 22, 2024

Click to Download Case Study About Church Brothers Farms Church Brothers Farms is a leading vertically integrated, family-owned, US-based vegetable producer, supplier, and processor that prioritizes customer experience and provides the highest quality produce in an increasingly competitive and volatile market.

Optimal Sourcing 52

Optimal Sourcing Forecasting Modeling Forecasting Software 52

ThroughPut

APRIL 30, 2024

It has the power to analyze vast datasets, predict future trends with remarkable accuracy, and adapt to changes in real time, offering businesses a competitive edge. Supply chain forecasting predicts future demand for products and services, inventory needs, and production planning based on historical data, market analysis, and current trends.

Forecasting 52

Forecasting Forecasting Software Supply Chain Planning Software Modeling 52