Talking Logistics

DECEMBER 11, 2014

made that prediction in 2008 (see the Barron’s article What $300-a-Barrel Oil Will Mean for You ). Three years later, he stayed with his $300-a-barrel prediction, but shifted the timeframe to 2020 (see the CBS News article, Another $300 Oil Prediction — and Why This One Matters ). million bbl/d in 2015.” .

Predictive Analytics Software 260

Predictive Analytics Software Supply Chain Design Software Logistics Network Optimization Software Predictive Analytics 260

ThroughPut

MAY 9, 2025

AI in food manufacturing delivered the visibility and intelligence they needed to take back control from predictive maintenance to smarter CAPEX decisions. How Did AI Predict Downtime Before It Happened? Using real-time data and root cause analytics, ThroughPut helped the client isolate recurring issues from one-off failures.

Waste Reduction 52

Waste Reduction Expense Reduction Cost Reduction Strategies Case Study 52

ThroughPut

MAY 7, 2025

The client needed predictive insights to apply strategic markdowns that drive revenue not margin erosion. The post [Case Study] How a Global Fashion Retailer Used AI to Maximize Margins & Eliminate Stockouts During the Holiday Season appeared first on ThroughPut.

Case Study 52

Case Study Waste Reduction Vendor Strategies Inventory Reduction 52

Supply Chain Shaman

JANUARY 9, 2019

Long tail products do not flow well through the traditional supply chain designed for high volume, predictable demand. In Figure 1, I share a case study from a client engagement. The demand patterns of the tail are different requiring a change in planning analytics. The reason? the organizational dynamics were tough.

Supply Chain Design Software 334

Supply Chain Design Software Supply Chain Planning Software Case Study Forecasting Software 334

AIMMS

JULY 19, 2017

The list includes our best supply chain analytics blogs and news items, our latest webinars and most recent case studies. Looking for a software provider for Business Analytics, S&OP, Inventory Optimization, Production Planning & Scheduling or SC Network Design?

Prescriptive Analytics Software 156

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Supply Chain Design Software 156

SCMDOJO

OCTOBER 30, 2024

Conversely, a student who quickly grasps procurement strategies can be challenged with advanced case studies and leadership projects. Developing Analytical Skills Data analysis is at the heart of effective supply chain management.

Supply Chain Planning Software 96

Supply Chain Planning Software Analytics Software Forecasting Software Predictive Analytics Software 96

SCMDOJO

JANUARY 23, 2023

If you want to gain more supply chain analytics knowledge, you’re in the right place. We’ve compiled a list of 10 great supply chain analytics books to help you better understand the concepts and strategies behind this vital business field.

Prescriptive Analytics Software 132

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Predictive Analytics 132

Supply Chain Shaman

AUGUST 7, 2017

The decision support technologies that we use today–price management, trade promotion management, network design, supply chain planning, transportation planning, supplier risk management–are on the cusp of redefinition through new forms of analytics. Evolution of Analytics in Supply Chain Management. Predictive Analytics.

Prescriptive Analytics Software 246

Prescriptive Analytics Software Supply Chain Design Software Supply Chain Planning Software Modeling 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. Supply chain teams are curious about adopting Prescriptive Analytics and exploring the benefits.

Prescriptive Analytics Software 156

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Predictive Analytics 156

ToolsGroup

OCTOBER 13, 2015

This is a compilation of predictions and recommendations from various presentations. They see the highest spending priorities in e-commerce software, supply chain optimization and cost analytics. Cognitive learning and analytics – Burkett predicted that cognitive or machine learning will have a big impact on supply chains.

Gartner 120

Gartner Supply Chain Planning Software Supply Chain Design Software Predictive Analytics Software 120

AIMMS

JULY 23, 2019

But supporting the process with advanced analytics goes even further, contributing to higher levels of productivity and profitability. Like many organizations, Tereos recognizes the use of advanced analytics as an imperative. Many of these factors are difficult to control and predict. Advanced analytics as enabling technology.

S&OP 156

S&OP Prescriptive Analytics Software Supply and Demand Predictive Analytics 156

AIMMS

JULY 8, 2019

But in today’s VUCA world, the future is getting harder and harder to predict. Browse case studies to see how companies use AIMMS to support their S&OP process. . Demand forecasts are only becoming less accurate. How are supply chain professionals dealing with this? Create your own user feedback survey.

Forecasting 52

Forecasting Forecasting Software Supply and Demand Demand Planning Software 52

ToolsGroup

AUGUST 11, 2015

In her recent report, Making the Case for Increased Adoption of Advanced Supply Chain Analytics , Gartner analyst Noha Tohamy says that it’s no longer realistic to expect planners alone to analyze trends and underlying drivers, predict future scenarios and devise action plans. Danone is a case in point.

Predictive Analytics 120

Predictive Analytics Modeling Supply and Demand Analytics Software 120

Logistics Viewpoints

MAY 10, 2023

Snowflake is a cloud computing–based data cloud company that offers a cloud-based data storage and analytics service, generally termed “data-as-a-service.” Both predictive and generative artificial intelligence play a role in supplying infinite intelligence, as Mr. Angove pointed out.

Supply Chain Planning Software 286

Supply Chain Planning Software Predictive Analytics Software Las Vegas Supply Chain Network Software 286

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

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

Logistics Viewpoints

AUGUST 4, 2022

In times that continue to defy our ability to predict them, the words of famous statistician George Box have never been more right: “All models are wrong, but some are useful.” If “the forecast is always wrong,” is improving forecast accuracy even the solution to our demand planning woes? So what can we do to make models more useful?

Supply and Demand 306

Supply and Demand Forecasting Forecasting Software Demand Planning 306

Bristlecone

JANUARY 8, 2025

Use cases Following are global case studies illustrating the benefits of no-touch planning: Global FMCG company automated 80% of its order-to-ship process and reduced the end-to-end processing time by 45%. Companies must focus on developing these skills internally with the help of strategic service providers.

Supply Chain Planning Software 98

Supply Chain Planning Software Supply Chain Planning Scenario Planning Supply Chain Software 98

Logistics Viewpoints

MARCH 4, 2021

The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. . You can start with daily/operational decisions and work your way to tactical and strategic decisions to evaluate opportunities for integrating the data sources into your planning and analytics platform. . and Europe.

Supply Chain Planning Software 290

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 290

ToolsGroup

FEBRUARY 28, 2024

This case study details how Miroglio used EvoAI to respond quickly to the smallest changes in demand and dynamically rebalanced inventory across the network to maximize GMROI. But fashion is inherently hard to predict. Read the case on Harvard Business School website Read here →

Network Optimization 156

Network Optimization Supply Chain Optimization Inventory Price Mitigation Strategies 156

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

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. As you move into the higher stages of maturity, you increasingly rely on advanced analytics and machine learning for demand shaping and promotion forecasting.

Forecasting 184

Forecasting Forecasting Software Supply Chain Planning Software Analytics Software 184

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 186

Agile and Lean Supply Chain Supply Chain Design Software Supply Chain Design Supply Chain Planning Software 186

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. More support in terms of predictive analytics is the dream. (Now there’s an interesting question – if AI had a flavour, what exactly would it be? Fresh mint, maybe?

Analytics Software 176

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

Gravity Supply Chain

JUNE 6, 2022

Receive live tracking and predictive analytics on their goods, from origin to destination. Download full case study here. The post Case Study: Röhlig Logistics and Gravity Supply Chain Solutions appeared first on Gravity Supply Chain. Easily place orders. Monitor the production process.

Case Study 52

Case Study Study Supply Chain Planning Software Logistics Network Optimization Software 52

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

MARCH 11, 2013

I am currently doing research in the area of analytics (reference Supply Chain Insights Report, The Art of the Possible ). I strongly believe that the future of supply chain management lies in new forms of analytics and that the ERP /APS vision of the last decade is history. I find that the larger concern is advanced analytics.

Analytics Software 150

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

ThroughPut

APRIL 15, 2025

Summary of the Impact A globally recognized Automotive Interiors Manufacturer deployed ThroughPuts AI-powered supply chain solution, Supply chain decision intelligence & analytics platform , to optimize Just-in-Time manufacturing across all operational shifts. Why This Case Study Matters to You?

Just-in-Time 52

Just-in-Time Supply Chain Planning Software Analytics Software Automotive 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. I handpick the case studies. (I I have confirmed four case studies.) I didn’t choose it. When I was in college, the concept just did not exist.

Supply Chain Planning Software 186

Supply Chain Planning Software Gartner Supply Chain Software Supply Chain Planning 186

ToolsGroup

DECEMBER 11, 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.” for spare parts planning.

Supply and Demand 214

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

Talking Logistics

JULY 19, 2018

At the Descartes Evolution User Conference this past March, I attended several sessions about the MacroPoint solution and they were all standing room only , including the one where William Wehrle and David Bazzetta from BASF shared their case study. Real-time Capacity Matching: The Second Wave of Demand and Value.

Real-time Visibility 133

Real-time Visibility Capacity Procurement Analytics Logistics Network Optimization Software 133

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

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 191

Supply and Demand Modeling Demand Planning Software Supply Chain Planning Software 191

ToolsGroup

SEPTEMBER 28, 2016

These demand-driven supply chains are driven by analytics. She outlined five predictions: We will build outside-in processes using channel data to improve demand signals (See Costa case study ). Analytics will enable these supply chains to simulate the profitability of responses and learn from successes and failures.

Supply Chain Planning Software 120

Supply Chain Planning Software Supply Chain Design Software Prescriptive Analytics Software Supply Chain Software 120

ThroughPut

MARCH 27, 2024

While on one hand, predictive analytics analyzes historical data and market trends for accurate demand forecasting, on the other, customers are being offered personalized experiences based on their preferences, purchase history and behavior. Such detailed analytics also reduce retrieval times for faster order processing.

Case Study 52

Case Study Waste Reduction Inventory Reduction Price Reduction 52

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