ThroughPut

FEBRUARY 23, 2024

A report by McKinsey shows that early adopters of AI in the supply chain have improved their inventory levels by 35%, reduced logistics costs by 15%, and enhanced service levels by 65%, vis-a-vis competitors who were slow to embrace AI. With rapid fluctuations and uncertainty, predicting customer demand is like shooting in the dark.

Predictive Analytics Software 59

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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.

Prescriptive Analytics Software 52

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Invata Intralogistics

MARCH 9, 2024

In the swiftly changing world of logistics and supply chain management, the advent of automated warehousing stands as a transformative force, offering unmatched efficiency, speed, and dependability in handling inventory. Enhanced Decision Making AI predicts potential issues and recommends the most effective maintenance strategies.

Warehousing 52

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Logility

OCTOBER 18, 2022

The Russian invasion has triggered supply chain disruptions and other obstacles that are hampering vital logistics and trade route implementation. 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.

Supply Chain Disruption 130

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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?

Prescriptive Analytics Software 52

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ModusLink Corporation

SEPTEMBER 7, 2023

Inventory Management Introduction: In the rapidly evolving tech industry, maintaining optimal inventory management practices is crucial for sustained growth and competitiveness. This blog delves into industry-leading inventory management best practices. It involves receiving, tracking, and efficiently storing these products.

Inventory Management Software 78

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ModusLink Corporation

SEPTEMBER 7, 2023

Introduction: In the rapidly evolving tech industry, maintaining optimal inventory management practices is crucial for sustained growth and competitiveness. This blog delves into industry-leading inventory management best practices. They represent distinct facets of the broader logistics and operations landscape.

Inventory Management Software 78

Inventory Management Software Inventory Reduction Optimal Sourcing Inventory Management 78

ModusLink Corporation

SEPTEMBER 7, 2023

Introduction: In the rapidly evolving tech industry, maintaining optimal inventory management practices is crucial for sustained growth and competitiveness. This blog delves into industry-leading inventory management best practices. They represent distinct facets of the broader logistics and operations landscape.

Inventory Management Software 78

Inventory Management Software Inventory Reduction Optimal Sourcing Inventory Management 78

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. Deliveries can be made on-time and logistical costs can be cut.

Analytics Software 130

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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.

Prescriptive Analytics Software 52

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Intelligent Audit

OCTOBER 27, 2022

Shippers can get a handle on their expenses by tracking freight invoices and improving their logistics strategy. . Far from a buzzword, big data analytics in logistics and supply chain management are helping companies gain insight into their current performance while optimizing future operations.

Big Data 52

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Logistics Viewpoints

MAY 26, 2022

Challenges drive dramatic shifts in supply chain and logistics. Across many of our industries, conventional wisdom about best practices for supply chain operations and logistical networks is being challenged. There are lively debates about the meaning and prioritization of scale, globalization, outsourcing, and inventory optimization.

Logistics Network Optimization Software 263

Logistics Network Optimization Software Optimal Sourcing Supply Chain Design Software Modeling 263

Silvon Software

AUGUST 8, 2022

Logistics disruptions, production delays, an over reliance on 3 rd parties, and labor market shortages are just some of these challenges. 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.

Analytics Software 79

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Logistics Viewpoints

JANUARY 18, 2024

Here, let’s explore 6 essential elements of AI-powered automation in supply chain planning & analytics, culminating in a powerful solution. For instance, adjustments in order volumes trigger immediate updates to demand, inventory, supply, production, and transportation plans.

Supply Chain Software 247

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ShipBob

JANUARY 15, 2024

If you don’t have enough inventory on hand you risk selling out. Too much, and you’ll be stuck with an inventory glut. An inventory glut occurs when a company has surplus inventory and the stock of products far exceeds its demand. What is inventory glut? Inventory glut affects businesses both large and small.

Inventory Reduction 52

Inventory Reduction Price Reduction Cost Reduction Strategies Waste Reduction 52

Clear Spider

MARCH 21, 2024

AI inventory solutions create more powerful and adaptive supply chains. One of the key drivers of supply chain resilience is the use of artificial intelligence and machine learning algorithms in inventory management. AI makes use of the endless stream of data collected through inventory management devices and cloud-based applications.

Inventory Reduction 52

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

Logility

AUGUST 31, 2022

It’s a complex problem, but you can successfully optimize inventory levels with the right approach and technology. With all of today’s supply chain disruptions, and new ones no doubt lurking around the corner, companies without optimized inventory are risking overpaying and underperforming. Inventory Optimization Challenges.

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Disruption Optimal Sourcing Inventory Reduction 130

The Logistics & Supply Chain Management Society

MARCH 22, 2022

For example, the One Network platform for supply chain planning and execution is used by the Ministries of Health in Nigeria, Ghana, and Rwanda, providing comprehensive inventory visibility across all health facilities for real time supply demand matching and collaborative decision making. End-to-End and Real-Time Logistics.

Supply Chain Planning Software 245

Supply Chain Planning Software Prescriptive Analytics Software Real-time Visibility Optimal Sourcing 245

Logistics Viewpoints

JUNE 1, 2023

Continuing Disruptions in Transportation and Sourcing Materials After the pandemic, retailers are faced with new challenges and disruptions due to global conflicts, trade restrictions, and now recessions. Here are some highlights from these trends in 2023 and implications on supply chain planning.

Supply Chain Planning Software 193

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Supply Chain View from the Field

DECEMBER 16, 2013

I’ve had the good fortune to be presented with opportunities for compelling discussions with a significant group of leading thinkers, senior executives in procurement, logistics, and technology management over this past year. Not surprisingly, analytics is at the top of the list. This complexity is occurring in many forms.

Predictive Analytics 117

Predictive Analytics Analytics Software Procurement Analytics Supply Chain Design Software 117

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. IoT is making a mark on more and more industries, including logistics. Agility” is a key concept in logistics.

Supply Chain Disruption 246

Supply Chain Disruption Optimal Sourcing Supply Chain Software Agile and Lean Supply Chain 246

Talking Logistics

DECEMBER 16, 2015

Well, my big audacious prediction for 2015 did not come true. Google did not acquire a third-party logistics (3PL) company or a logistics software vendor. 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.

Predictive Analytics Software 120

Predictive Analytics Software Supply Chain Planning Software Supply Chain Design Software Logistics Network Optimization Software 120

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. Accurate demand forecasting enables businesses to optimize their production, inventory management, and pricing strategies, resulting in maximized profits and customer satisfaction.

Supply and Demand 52

Supply and Demand Forecasting Forecasting Software Demand Planning Software 52

Enterra Insights

AUGUST 15, 2023

The so-called “retail apocalypse” was deepened by the pandemic, then came inventory overload and inflation. Big Data Analytics and AI are at the forefront of this technological revolution, offering unprecedented opportunities for retailer agencies and agents to optimize their operations and enhance customer experience.”[1]

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Software Optimal Sourcing Supply Chain Optimization 130

Logistics Viewpoints

JUNE 26, 2023

Mr. Beery began by visiting Procter & Gamble, UPS Logistics, the devices division at Microsoft, and other companies with advanced supply chains. The second goal was to work with a fourth party logistics (4PL) partner that had invested in cutting-edge transportation management and visibility solutions.

Supply Chain Planning Software 207

Supply Chain Planning Software Supply Chain Design Software Agile and Lean Supply Chain Supply Chain Planning 207

ModusLink Corporation

APRIL 22, 2024

End-to-end management of component procurement, inventory management, and JIT delivery. Dynamic inventory optimization to minimize lead times and reduce costs. Continuous improvement initiatives driven by data analytics and feedback mechanisms. Predictive analytics to anticipate supply chain disruptions and mitigate risks.

Electronics 78

Electronics 3PL Optimal Sourcing Waste Reduction 78

ThroughPut

APRIL 15, 2024

It has the power to analyze vast datasets, predict future trends with remarkable accuracy, and adapt to changes in real time, offering businesses a competitive edge. Supply chain forecasting predicts future demand for products and services, inventory needs, and production planning based on historical data, market analysis, and current trends.

Forecasting 52

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ThroughPut

APRIL 17, 2024

AI with its predictive capabilities is helping companies make more informed decisions, automate processes and optimize efficiency like never before. As 2024 rolls out, we decided to take you through a few trends, predictions, challenges and considerations to make supply chains future-ready with AI.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Software Predictive Analytics Software Optimal Sourcing 52

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. 25 years ago I finished my studies in mechanical engineering and my master’s thesis was on plant layout and logistics planning.

Predictive Analytics 52

Predictive Analytics Predictive Analytics Software Analytics Software Supply Chain Planning Software 52

Supply Chain Shaman

SEPTEMBER 22, 2021

As Allyson presented her story of working for multiple consumer products companies, with very advanced technologies (demand sensing, advanced automation of forecasting, data lakes and descriptive analytics), she spoke of why at the end of the day, the most important technology that she uses is Excel. Using Analytics In the World of Gray.

Optimal Sourcing 217

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Logistics Viewpoints

JUNE 15, 2023

Using computer algorithms, the AI program searches various connected inputs from all available sources to generate human-looking content in the form of text, images, audio, and other synthetic (created) data that is of value to the user. In many ways, it is the next logical progression of predictive analytics and machine learning combined.

Supply Chain Software 209

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The Logistics & Supply Chain Management Society

AUGUST 14, 2023

Breaking Boundaries: Exploring Generative AI’s Impact on Supply Chains Supply chains encompass many interconnected activities, from procurement, production, and inventory management, to logistics and distribution. These activities involve numerous stakeholders, such as suppliers, manufacturers, distributors, and retailers.

Optimal Sourcing 244

Optimal Sourcing Supply Chain Planning Software Supply Chain Software Modeling 244

Supply Chain Game Changer

OCTOBER 8, 2020

Digital Supply Chain predictions article and permission to publish here provided by Michael Gaughan at land-link.com. Here are some interesting predictions from a reputable international research firm, IDC, which highlight key areas of technological applications regarding the impending digital revolution of the international supply chain.

Predictive Analytics Software 74

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Logistics Viewpoints

MAY 25, 2023

The first use case is MIT professor Yossi Sheffi’s idea for using generative AI to monitor all possible sources of risk for a given supplier to mitigate any disruptions. As the economist trio of Agrawal, Gans, and Goldfarb explain , AI makes predictions, which are inputs into decisions.

Supply Chain Planning Software 234

Supply Chain Planning Software Supply Chain Software Negotiating Skills Predictive Analytics Software 234

Logility

AUGUST 31, 2023

From where they shop and how frequently they buy to what price points entice them, consumer behaviors have been challenging to predict over the past year. Batch manufacturing is more controlled and optimized, improving inventory turns and production scheduling efficiency.

Consumer Goods 185

Consumer Goods Network Optimization Software Optimal Sourcing Inventory Reduction 185

Adexa

JULY 17, 2023

Even real-time decision making is being replaced with before-the-time decision making by predicting events. It allows organizations to track and monitor inventory levels, production status, transportation, and other crucial supply chain activities. Processes that used to take days can now be done in minutes.

Supply Chain Planning Software 98

Supply Chain Planning Software Supply Chain Software Optimal Sourcing Agile and Lean Supply Chain 98

Supply Chain Shaman

JUNE 9, 2023

Planning needs to respect the multiple flows of items–high volume and predictable, low volume and predictable, low volume and not predictable, seasonal, new product launch introductions, and demand shaping. Companies need a planning solution to analyze the trade-offs between make, source, and deliver. The reason?

Optimal Sourcing 299

Optimal Sourcing Supply Chain Planning Software Supply and Demand Supply Chain Design Software 299