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 259

Predictive Analytics Software Supply Chain Design Software Logistics Network Optimization Software Predictive Analytics 259

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 97

Supply Chain Planning Software Analytics Software Forecasting Software Predictive Analytics Software 97

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

FEBRUARY 5, 2015

My focus in this post is to highlight changes in supply chain analytics, and what this can mean for your business. Today, if you ask a supply chain leader about analytics, their response is all about reporting. If you ask an IT professional about analytics, their response is also usually centered in reporting.

Analytics Software 150

Analytics Software Supply Chain Software Predictive Analytics Analytics 150

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

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 267

Supply Chain Design Software Supply Chain Planning Software Case Study Forecasting Software 267

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

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 227

Prescriptive Analytics Software Supply Chain Design Software Supply Chain Planning Software Modeling 227

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

Supply Chain Shaman

APRIL 15, 2020

No doubt about it, we are characters in a supply chain case study searching to define a new normal. Today, we find ourselves in the middle of a risk management case study. Another is looking at hospital bed utilization to predict market baskets. Don’t expect demand to be predictable. Bottom line?

Supply Chain Planning Software 439

Supply Chain Planning Software Supply Chain Design Software Modeling Supply and Demand 439

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 277

Supply Chain Planning Software Predictive Analytics Software Las Vegas Supply Chain Network Software 277

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 301

Supply and Demand Forecasting Forecasting Software Demand Planning 301

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 284

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 284

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

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

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

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 154

Agile and Lean Supply Chain Supply Chain Design Software Supply Chain Design Supply Chain Planning Software 154

ToolsGroup

MARCH 1, 2018

But omnichannel retail is causing retailers to revisit practices like this and explore a new approach that flips the sequence, using analytics to first determine what is likelier to sell, then deciding what to carry. It includes a case study presented by Thomas Snowden, VP of Supply Chain and Analytics at Express Oil Change.

Inventory Reduction 189

Inventory Reduction Retail Inventory Supply Chain Planning Software 189

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

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 129

Real-time Visibility Capacity Procurement Analytics Logistics Network Optimization Software 129

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

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

Supply Chain Shaman

FEBRUARY 25, 2016

Analytical innovation and digital transformation drove step-change capabilities within the office and marketing. There is the need for an analytics strategy that can power outside-in, real-time processes using structured AND unstructured data. Build a scrappy, cross-functional team to test and learn using new forms of analytics.

Supply and Demand 150

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

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

ToolsGroup

DECEMBER 1, 2015

Performance gains like these are made possible by capturing consumer POS demand signals and using automated demand analytics to factor in effects like day-of-week pattern profiles, seasonality tuning and trade promotions. For a copy of the full Amplifon case study, click on the image below:

Supply and Demand 120

Supply and Demand Modeling Demand Planning Software Inventory Reduction 120

SCMDOJO

MARCH 12, 2025

Case Study: In their research paper, Afiatno and Joyoutomo (2024), state that in Indonesia, PPPs have played a key role in port digitalization and road network expansion, reducing national logistics costs significantly. Embracing Digital Transformation Technology is at the heart of efficient logistics networks. E., & Joyoutomo, K.

Supply Chain Network Software 52

Supply Chain Network Software Network Optimization Logistics Network Optimization Software Supply Chain Design Software 52