Kinaxis

MAY 16, 2025

Since January, Canadians’ weekly grocery trips have become a real-time indicator for the potential impacts of tariffs as shoppers have responded to threats with a showcase of buying power, prioritizing nationally sourced and manufactured products even before a single tariff was enacted.

Beverage 144

Beverage Price Reduction Canada Cost Reduction Strategies 144

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

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

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

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

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

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

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

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

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 186

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

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

ThroughPut

JUNE 9, 2025

The Promise of AI in Supply Chain Management Moving Beyond Traditional Analytics Traditional analytics can tell you what happened and, to some extent, why it happened. Spreadsheets and CSV files Production and warehouse management systems External data sources (weather, market trends, etc.) ThroughPut.ai Q2: How does ThroughPut.ai

Supply Chain Planning Software 52

Supply Chain Planning Software Prescriptive Analytics Software Supply Chain Software Analytics 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

ThroughPut

MAY 20, 2025

AI helps businesses proactively align supply with real-time demand, optimize inventory levels, identify cost-saving opportunities, and predict maintenance needstransforming spare parts management from a cost center into a competitive advantage. Lets break it down. What is Spare Parts Inventory Management? ThroughPut.AI How ThroughPut.AI

Inventory Management Software 52

Inventory Management Software Inventory Reduction Prescriptive Analytics Software Supply Chain Planning Software 52

ThroughPut

MAY 23, 2025

COOs must build resilience through supplier diversification, nearshoring, and flexible sourcing strategies. Use advanced analytics and dashboards to monitor performance and identify bottlenecks. Solution: ThroughPut AI enabled near-term demand forecasting, dynamic lead time management, and smarter sourcing decisions.

Inventory Management Software 52

Inventory Management Software Supply Chain Planning Software Supply Chain Design Software Supply Chain Software 52

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

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 Cost Reduction Strategies 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 Study 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

Jaggaer

APRIL 9, 2025

AI algorithms interpret this data to make smart, predictive decisions that can automatically adjust the production process in real time. In addition, find out if the vendor has experience in your sector of manufacturing, and can provide case studies and references to prove it. Future Trends in MES Industry 4.0,

Manufacturing Procurement 52

Manufacturing Procurement Sourcing Strategies Supply Chain Planning Software Modeling Software 52

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 74

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Supply Chain Planning 74

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

Supply Chain Shaman

MARCH 7, 2017

Then the packed halls had a lot of business user case study presentations. At SAP Insider, the digital transformation message was never defined, but the use cases focused on Internet of Things delivered through a Leonardo architecture and the strategic advantage of S4/Hana for real-time analytics. It is a muddle.

Supply Chain Planning Software 180

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

crisp

MAY 29, 2025

How forward-thinking CPG sales teams utilize AI-powered data foundations for the perfect pitch, leveraging real-time insights, seamless answers, and predictive modeling to keep sales expanding. Hugo Lopez, UNFI, Nestl USA | Read the case study 3. Read: What to know about AI in retail analytics 4.

Modeling 40

Modeling Optimal Sourcing Inventory Reduction Cost Reduction Strategies 40

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 Industry 74