IBM Case Study Webinar: How AI can revolutionize your supply chain NOW

NC State SCRC

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. Supply chain problems were always recognized after the fact, and were not being predicted ahead of time. In this webinar, Simon also discussed his views on how intelligence, analytics, MBL, and cognitive computing are moving together along a continuum.

Supply Chain Innovation: The Latest Gartner Supply Chain Predictions

ToolsGroup

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. Analytics is the way supply chains will compete ,” he said. Enhance decision making with business intelligence and analytics.

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Supply Chain and Logistics Predictions for 2016

Talking Logistics

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. In other cases, we simply fail to see the forest for the trees when making predictions. The Case for Competing on Logistics Talent.

Coming Now: The Age of Advanced Demand Analytics

ToolsGroup

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. As a result this “expected decrease in human intervention requires supply chain organizations to invest in automated advanced analytics.” machine learning capabilities to predict future demand.

Fighting the Chargebacks, A Case Study

Freight Plus

Further, the sales and operations team were often very wrong predicting the cost to serve a new customer resulting in on-boarding new, unprofitable business. Aborn & Co. Managed Service saves leading US based food manufacturer money, adds productivity . Customer Profile.

Fighting the Chargebacks, A Case Study

Freight Plus

Further, the sales and operations team were often very wrong predicting the cost to serve a new customer resulting in on-boarding new, unprofitable business. Aborn & Co. Managed Service saves leading US based food manufacturer money, adds productivity . Customer Profile.

Google Will Acquire a 3PL – And Other Supply Chain and Logistics Predictions for 2015

Talking Logistics

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 ). I use this example to illustrate the challenges (or, perhaps, the futility) of making supply chain and logistics predictions. Big Data and Analytics for Oil and Gas Transportation.

3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

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. Prescriptive Analytics is at the cutting edge of data science and companies are increasingly interested in exploring its benefits. According to Gartner’s Forecast Snapshot , the Prescriptive Analytics software market will reach $1.1

S&OP in Agribusiness: How to Harvest the Benefits with Advanced Analytics

AIMMS

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. The use of predictive analytics is fairly common nowadays. The agribusiness supply chain is highly complex.

3 Compelling Reasons to Start Using Prescriptive Analytics

AIMMS

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.

S&OP in Agribusiness: How to Harvest the Benefits with Advanced Analytics

AIMMS

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.

Catch up on Supply Chain Analytics news with our Summer Reading List

AIMMS

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?

AIMMS 156

Use of Predictive Analytics in Supply Chain - Infosys Blogs

Infosys Supply Chain Management

Case Studies. |. « Managing After-Sales Service by coupling CRM and Asset Management | Main | Adding intelligence in the Forecasting process to support Supply Chain Segmentation » Use of Predictive Analytics in Supply Chain. Predictive analytics uses several techniques to analyze past events to make predictions about future. Predictive technology can also help to increase in cross sales or sell additional products to customers.

o9 Solutions enables global enterprises to transform disparate data into market knowledge with Microsoft Azure Synapse Analytics

o9 Solutions

Microsoft Data, Analytics, and AI Partner Case Study Program. High-value use cases for the o9 solution on Microsoft Azure include real-time market knowledge, AI and machine learning-powered forecasting, supply chain and revenue planning, and digital integrated business planning.

Digital Transformation Journey in Supply Chain Planning

Solvoyo

The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. . Predictive alerts: will help you prevent potential issues such as stock-out risks.

Real-time Capacity Matching: Making Brokers More Efficient

Talking Logistics

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. In case you missed it, check out my short video interview with William and David and our write-up of the case study.

Control Tower Visibility: Delivering Value in Transportation

Talking Logistics

There is also a need for advanced analytics. The use of APIs (application programming interfaces) and telematics to feed into Control Towers offers faster setup, near real-time visibility, and advanced analytics, which is important to our customers.”. Case Study Episode Highlights Transportation Management Systems control tower Ken Rogers Mark McEntire Nestle Waters TMS Transplace transportation management systems

Demand Planning Apps Top Supply Chain Planning Machine Learning

ToolsGroup

Our first Gartner machine learning customer case study appeared five years ago. So Gartner polled both users and technology partners to see where machine learning had made the most inroads in supply chain planning (Current Use Cases for Machine Learning in Supply Chain Planning Solutions, 19 May 2018 ID, Tim Payne). In this case, demand forecasting was the most popular application. Source: Gartner 2018.

Tackling Item Complexity

Supply Chain Shaman

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. One of the most read case studies written for my first book, Bricks Matter, is a case study on managing item complexity. Personalization. Market microsegmentation.

Trade promotion forecasting: the present and the near future

ToolsGroup

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 Industry leaders like Danone (click here for case study) are going to the next step, using machine learning enhanced advanced analytics for trade promotions planning. Fortunately, supply chain teams can make their cases for step-wise investments in skills and tools.

Sorry, I’m Not Sure: Supply Chain and Logistics Predictions for 2018

Talking Logistics

I will be wrong again,” I stated last year before making my supply chain and logistics predictions for 2017 , and I was right. Meanwhile, the debate around electronic logging devices (ELDs) did not die down as I had predicted — in fact, it continues today (December 18, 2017), which is when the Federal Motor Carrier Safety Administration will start enforcing the mandate. In short, I continue to be wrong — and sometimes right — with my supply chain predictions.

Introducing the New Vanguard Website

Vanguard Software

Vanguard Predictive Planning. Explore our Customer Stories , see the Vanguard Predictive Planning platform , check out our page for Pharmaceutical companies , and don’t miss our Resources Library. Check out our latest case studies featuring Fountain Tire and Country Malt Group.

Sensing Demand at the Point of Sale

ToolsGroup

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: Forecasting Demand and Analytics Supply Chain Planning

Claritum’s top ten 2020 predictions for Procurement

Claritum

Claritum’s top ten 2020 predictions for Procurement. AI will finally find its primary use in data cleansing and supporting analytics. Inline with investments in automation and analytics tools. Claritum Case Studies. Claritum Article - Procurement Blog.

Introducing the New Vanguard Website

Vanguard Software

Vanguard Predictive Planning. Explore our Customer Stories , see the Vanguard Predictive Planning platform , check out our page for Pharmaceutical companies , and don’t miss our Resources Library. A central focus across the site is how Vanguard delivers value to our customers and enables them to achieve success using case studies, customer quotes, and many other content forms. Check out our latest case studies featuring Fountain Tire and Country Malt Group.

Supply Chain Simulation: What You Need to Know

Vanguard Software

While the transformational power of AI is evident, too much faith is put into supply chain simulation platforms that are neither accurate nor predictive. Gartner defines simulation as “the use of a mathematical or computer representation of a physical system to study constraint effects.”

Rate Forecasting and Analytics in Practice

DAT Solutions

You can make a pretty good prediction based on the daily data from DAT Hot Market Maps, according to Ken Adamo, Senior Pricing Consultant at FedEx Custom Critical. In his presentation about rate forecasting, he explained how historical lane rate data and load-to-truck ratios from DAT RateView and DAT Data Analytics help his company make informed decisions and offer competitive, confident pricing. Want to know tomorrow’s freight rates today?

SXX?

Supply Chain Shaman

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. Many clients that I am helping to untangle the analytics mess in the market are asking “Where should I place my bets?”

Lora Cecere on Supply Chain Metrics that Matter

AIMMS

And the opening chapter in the book is an actual case study about a team meeting I attended where they would have the inventory “target of the month”. You mention that Advanced Analytics and Modeling are helpful when trying to determine targets in each metrics area and see tradeoffs. There are just too many intricacies so it requires more advanced analytics and optimization. What companies are currently using these types of Advanced Analytics and Modeling tools?

Supply Chain Predictions for 2018: Real-Time, Innovation, Cognitive, Blockchain, Industry-Academic Partnerships, and Taking a Stand!

NC State SCRC

Here are a few of the big stories that I wrote about this past year that I believe define some of the big shifts in the supply chain ecosystem we witnessed in 2017, and the predictions for 2018. Prediction: Real-Time LIVING Supply Chain Investments Will Separate the Winners from the Laggards. These small companies are focusing on specific business issues, and attacking them using small teams of analytical experts, and piloting and re-piloting new projects with clients.

How Demand Management Enables Supply Chain Resiliency

Vanguard Software

Fountain Tire Case Study. Download Case Study. New supply chain solutions, like Vanguard Predictive Planning , improve visibility across the end-to-end supply chain and support mitigating such disruptive events.

Supply Chain Complexity and the Need for Disruptive Technology

ToolsGroup

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 ). Cecere predicts that supply chains with outside-in processes will extend what sales and marketing know about customer segmentation and cost-to-serve into a more dynamic collaboration between supply chain and operations teams.

Download Now: Resilinc 2020 Annual Report

Resilinc

Customer Case Studies using Mapping and Predictive Analytics. We’ve titled our 2020 Annual Report “Carpe Diem” which means seize the day. It’s in reference to the mindset we – and our customers – had in the early days of the pandemic.

Strong Supply Chains Required For an Economic Rebound: Six Steps To Take

Supply Chain Shaman

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.

Can Improving Forecast Accuracy Address Our Demand Planning Woes?

Logistics Viewpoints

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.” The best path forward is to carefully evaluate the use case for applying AI/ML and weigh benefits against costs.

Cognitive Computing: Getting Clear on Definitions

Supply Chain Shaman

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. In the case of cognitive computing, the trigger is the use of sensor technologies along with in-memory processing to sense, learn and act. There are many powerful use cases ;but use caution, they are evolving.

OPTSUM 2015: Where SCM meets Science

BlueYonder

The invitation-based event witnessed high brain power with optimization gurus and analytics experts from across supply chain planning, retail, pricing and revenue management coming together from all parts of India. Three case studies across predictive and prescriptive analytics were discussed by Prof. Analytics Big Data Featured Retail Supply Chain

SCM 77

Peloton – A Supply Chain Cautionary Tale

Intelligent Audit

What happened to Peloton could easily happen to many retailers and will likely serve as a case study for logisticians for years to come. Instead, predictive analytics uses a combination of traditional statistical forecasting and machine learning algorithms.

Not the Jetsons: 10 Use Cases for Cognitive Learning in Supply Chain

Supply Chain Shaman

Help me with the use cases… ” I laughed and retorted, “ Oh my! 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. Here is a synopsis of the use cases discussed: Data Mapping.

BASF: A Story of a Supply Chain Leader

Supply Chain Shaman

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 group companies by NAICS codes to study year-over-progress at the intersection of operating margin and inventory turns. Greater margin performance than the industry average for the peer group for the period studied.