Intelligent Audit

JANUARY 5, 2021

There is a lot of talk within the supply chain industry regarding the value supply chain predictive analytics. 1 talent challenge, indicating that these existing supply chain resources are not equipped with the required technical and analytical skillsets to deliver digital and analytics initiatives successfully.”

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Supply Chain Matters

JANUARY 17, 2024

The Ferrari Consulting and Research Group through its affiliate the Supply Chain Matters blog shares excerpts of our fifth prediction that will be included in our Annual 2024 Predictions for Industry and Global Supply Chains Research Advisory. In this posting, we share excerpts of our fifth prediction.

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Talking Logistics

JULY 2, 2018

How can technology, specifically transportation management systems and predictive analytics, help shippers and third-party logistics providers (3PLs) excel in this area? The post Final Mile Delivery: The Role of TMS and Predictive Analytics appeared first on Talking Logistics with Adrian Gonzalez. Why is it important?

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Logistics Viewpoints

MARCH 27, 2024

Some of the applications of AI and ML in supply chain robotics include vision systems, natural language processing, predictive analytics, and reinforcement learning. NLP can also help robots to access and process information from various sources, such as manuals, databases, or websites.

Analytics Software 214

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Invata Intralogistics

MARCH 9, 2024

Artificial Intelligence (AI) transforms the approach to maintenance from reactive to predictive, ensuring that operations run smoothly and continuously. Understanding Predictive Maintenance Predictive maintenance utilizes data analysis tools and techniques to identify irregularities and forecast equipment malfunctions before they happen.

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ThroughPut

FEBRUARY 2, 2024

is advanced supply chain analytics. Advanced supply chain analytics is turning the current uncertainty into strategic foresight. In this blog, we’ll delve deeper into the potential of advanced supply chain analytics and understand why it is the need of the hour.

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Precoro

DECEMBER 11, 2023

To enhance their competitive edge, companies across industries are adopting a key tactic: strategic sourcing. Strategic sourcing is a holistic approach to supply chain management that includes tactics for optimizing the total cost of ownership, improving supplier relationships, and ensuring long-term value creation.

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Logility

OCTOBER 18, 2022

It’s an undeniable mess, and while you can’t always predict supply chain disruptions, it doesn’t mean you can’t be better prepared, with disruptions big and small now an accepted inevitability. The Power to Predict Supply Chain Disruptions. It’s been a tough couple of years, and it’s hard to see a light at the end of the tunnel.

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ThroughPut

FEBRUARY 23, 2024

With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark. Leveraging AI for demand forecasting means: You can analyze any amount of historical data and current trends from external sources to predict future demands more accurately. You can read more about it here. The solution?

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Enterra Insights

APRIL 21, 2021

” Data and Advanced Analytics in Industry 4.0 Industry 4.0 Venkat Viswanathan ( @venkatlv ), Founder and Chairman of LatentView Analytics, explains, “There has been a lot of talk about the enormous potential and market opportunity for smart factories. In fact, it already is.” begins with connectivity.

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QAD

OCTOBER 4, 2023

What is Supply Chain Analytics and Why is it Important? Supply chain analytics allows businesses to examine their operations and view data in real-time. With supply chain management analytics software, companies can improve decision making, take a proactive approach and quickly mitigate issues before they explode into bigger problems.

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Logility

JUNE 27, 2018

Analytics are literally everywhere. Open any supply chain periodical, blog, or report and chances there is a discussion around the importance of analytics. An important goal of a supply chain analytics initiative is to enable better business decisions that improve operating results and allow you to be more responsive to customer needs.

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AIMMS

FEBRUARY 13, 2018

In today’s business environment, you can’t remain competitive without mastering analytics. S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. Not enough managers are fluent in the language of analytics.

Analytics Software 250

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GlobalTranz

JANUARY 17, 2017

So, let’s take a look at how our predictions for the first four manufacturing technology trends (Predictive analytics, 3D Printing, and VR) to watch for in 2016 stacked up. Predictive Analytics Became Commonplace to Manufacturing.

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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?

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DynaSys

MAY 28, 2019

Data analytics technology has developed exponentially over the past few years due to the phenomenal increase of computer capabilities, algorithms and the emergence of easy to use, simple and user-friendly BI tools. Many companies have accumulated large volumes of data coming from a varied number of sources.

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QAD

JANUARY 11, 2022

After the last two years, it’s no surprise that some might be hesitant to make predictions about the state of manufacturing, supply chains and digital transformation for the new year. But two of our senior experts wanted to weigh in by sharing their 2022 predictions in VMblog’s 14 th annual predictions series.

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Supply Chain Network

APRIL 5, 2018

Most in the know will agree that the amount and sources of Big Data available around supply chains continues to grow geometrically because of increased use of Internet of Things (IoT) technologies, Satellite Tracking (AIS/Automatic Identification System) for ships as well as emerging implementations leveraging blockchain technology.

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Enterra Insights

FEBRUARY 19, 2020

Although each of these activities has value, new analytical tools are available to help business leaders predict what could happen in the future and assist them in deciding how to proceed. As AI and machine learning continue to develop, the way we use analytics also continues to grow and change. Types of analytics.

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ToolsGroup

DECEMBER 10, 2019

Against this backdrop, our 2020 predictions represent insights from across the ToolsGroup community for technology and practices that support greater supply chain resilience. Deriving value from huge volumes of data depends on being able to separate signals (which have predictive value) from ‘noise’. Data analytics will get simpler.

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Logility

JUNE 28, 2018

Analytics are literally everywhere. Open any supply chain periodical, blog, or report and chances there is a discussion around the importance of analytics. An important goal of a supply chain analytics initiative is to enable better business decisions that improve operating results and allow you to be more responsive to customer needs.

Prescriptive Analytics Software 101

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RFgen

MAY 16, 2023

The role of data analytics in optimizing inventory management processes has become increasingly important. Analytics help organizations make smarter decisions, reduce costs, and improve customer satisfaction. But your analytics is only as good as the underlying data. That’s why most inventory handlers leverage data.

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Supply Chain View from the Field

DECEMBER 16, 2013

I visited the BVL Kongress in Berlin, and also attended the International Institute for Analytics ”Chief Analytics Officer” meeting last summer. We just finished hosting over 150 executives at our Supply Chain Resource Cooperative, with a theme on Supply Chain Analytics.

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Enterra Insights

JANUARY 18, 2024

Predicting the Future. Making predictions can be a fool’s errand; however, AI tools are making the cloudy crystal ball a bit clearer. Mario Mirabella , CEO of MSM Digital, writes, “AI-powered predictive analytics enables us to harness the power of data and uncover valuable insights that can drive business success.

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Silvon Software

AUGUST 8, 2022

To address these issues, manufacturers and distributors are focusing more on the use of data analytics to help them make more strategic decisions related to supply chain performance. But how can organizations best use data analytics to enhance their supply chain management efforts? Make supply chain analytics broadly available.

Analytics Software 78

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The Logistics of Logistics

AUGUST 28, 2023

She brings almost 20 years of supply chain and benchmarking experience to DAT, where she is focused on providing actionable insights to shippers through DAT’s Benchmark Analytics and Rateview benchmarking tools. About Sarah Bertram Sarah Bertram is a Shipper Sales Manager at DAT. Tusk save Shippers 40% or more on small parcel shipping.

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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.

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Gravity Supply Chain

FEBRUARY 27, 2020

Real time predictive analytics ensure offshore and nearshore sourcing decisions take place with certainty. The post Sourcing And The Value Chain – Why Digital Platforms Matter appeared first on Gravity Supply Chain. Gravity’s technology helps mitigate risk.

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AIMMS

FEBRUARY 13, 2018

In today’s business environment, you can’t remain competitive without mastering supply chain analytics. S till, most companies are “not very far” when it comes to implementing analytics and garnering benefits from data, as a recent survey from CSCMP suggests. L everaging analytics at scale is hard.

Analytics Software 156

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EC Sourcing Group

FEBRUARY 8, 2023

Legacy sourcing methods work against you. From lost opportunities to higher costs, outdated sourcing methods and traditional sourcing strategies can impede your success and the growth of your business. Sourcing Strategies in Procurement: What Is Traditional Sourcing?

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Enterra Insights

MARCH 13, 2018

Gary Cokins ( @GaryCokins ), founder of Analytics-Based Performance Management LLC, asserts, “Analytics is becoming a competitive edge for organizations. Once being a ‘nice-to-have,’ applying analytics is now becoming mission-critical.”[1] Diving for pearls: Types of analytics.

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Requis

FEBRUARY 19, 2021

He is based in Germany, and, as a founding partner of the supply chain practice at McKinsey & Company , consults on a variety of supply chain-related business problems, including S&OP and advanced analytics. Today we would use demand sensing, machine learning (ML), and other tools to predict demand. Yes, that’s fair.

Predictive Analytics 52

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ThroughPut

DECEMBER 5, 2023

Demand forecasting is the process of predicting future demand for a product or service, which helps businesses plan and allocate resources effectively. By accurately predicting future demand, businesses can better prepare for potential disruptions, such as supply chain disruptions, natural disasters, or changes in consumer behavior.

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The Logistics of Logistics

OCTOBER 30, 2023

Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. The Greenscreens.ai

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