MTS Logistics

OCTOBER 29, 2024

Predictive analytics, fueled by vast datasets including historical sales, market trends, and weather patterns, enables businesses to optimize inventory levels with precision, reducing overstock or shortages and ensuring customer satisfaction through accurate demand forecasting. AI’s role in sustainability is particularly noteworthy.

Optimal Sourcing 105

Optimal Sourcing Supply Chain Planning Software Logistics Network Optimization Software Optimization Software 105

Logistics Viewpoints

JANUARY 16, 2025

Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable. AWS , Google , and Microsoft are also investing heavily in custom AI chips to reduce their dependence on NVIDIA and optimize performance and cost. Google is also reportedly working on its own Arm-based chips.

Modeling Software 119

Modeling Software Supply Chain Design Software Optimization Software Supply Chain Planning Software 119

WorkWave

MARCH 4, 2025

As businesses strive to stand out, leveraging data effectively has become a game-changer. One of the most powerful yet underutilized tools for achieving this is decile data analytics. What Is Decile Data? The resulting data makes it easier to make smart data driven decisions on individuals that make up service target markets.

Resource Reduction 64

Resource Reduction Waste Reduction Optimization Software Data 64

AIMMS

JUNE 16, 2020

How are companies leveraging scenario modeling for network design and optimization ? The good news is many of the survey’s respondents recognize the potential of more advanced optimization solutions. In the context of disruptions like COVID-19, scenario modeling can make considerable difference – Tweet this.

Scenario Planning 144

Scenario Planning Supply Chain Design Software Supply Chain Design Optimization Modeling 144

Logistics Viewpoints

MARCH 15, 2022

Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.

Data 127

Data Modeling Software Industry Supply Chain Software 127

Logistics Bureau

JANUARY 25, 2025

For example, signs that a company is moving in the right direction, talent-wise, might include: The deployment of staff in new roles, absent the traditional supply-chain-centric titles and instead, hybridizing across data-science and logistics skill sets.

Supply Chain Planning Software 70

Supply Chain Planning Software Supply Chain Software Modeling Software Supply Chains 70

Logistics Viewpoints

MARCH 27, 2025

Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. The Ukraine-Russia conflict is ongoing. Tensions flare in the Middle East without warning. billion to $23.07

Supply Chain Planning Software 133

Supply Chain Planning Software Optimization Software Supply Chain Software Logistics Network Optimization Software 133

SYSPRO Smarter ERP

APRIL 8, 2025

In manufacturing, performance improvement, cost reduction and process optimization are crucial. Given the recent developments in computing and the ability of AI models to learn and adapt, AI and ML will increasingly be used to improve efficiency, productivity, and creativity across manufacturing. What is AI and ML?

ERP 64

ERP Supply Chain Design Software Modeling Software Optimization Software 64

Logistics Viewpoints

APRIL 7, 2025

Digital twins are emerging as digital transformation accelerators for supply chain and logistics organizations seeking enterprise-level visibility, real-time scenario modeling, and operational agility under disruption. These are not static dashboards or simple visualizationstheyre living, data-rich models of real-world operations.

Sourcing Strategies 64

Sourcing Strategies Supply Chain Planning Software Supply Chain Design Software Modeling Software 64

Logistics Viewpoints

MARCH 24, 2025

Before a potential customer buys an autonomous mobile robot solution, Locus Robotics often uses different types of simulation to determine the type of robots needed and the number needed to optimize productivity at a warehouse. DES allows the modeling of complex warehouse operations at various levels of detail.

Modeling Software 64

Modeling Software Optimization Software Optimization Modeling Logistics Network Optimization Software 64

Logistics Viewpoints

MARCH 3, 2025

What Celanese has accomplished is the single best example ARC is aware of employing agentic AI and copilots at scale. Further, when they began thinking about a platform to detect and react to equipment anomalies, they realized those capabilities would support safety, better product quality, and production optimization.

Packing 78

Packing Supply Chain Design Software Negotiating Skills Supply Chain Planning Software 78

SYSPRO Smarter ERP

JANUARY 13, 2025

The food and beverage industry is a dynamic, ever-evolving sector in which manufacturers are continuously seeking ways to optimize production and reduce costs in the face of shifting consumer demand and preferences. Optimizing production is essential to addressing these challenges. For example, review the systems scalability.

Optimization Software 52

Optimization Software Manufacturing Procurement Supply Chain Planning Software Modeling Software 52

Logistics Viewpoints

DECEMBER 18, 2024

Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency. These tools enhance transportation management by improving forecasting, optimizing logistics processes, and providing greater supply chain visibility.

Supply Chain Design Software 98

Supply Chain Design Software Supply Chain Planning Software Modeling Software Optimization Software 98

Logistics Viewpoints

DECEMBER 2, 2024

During COVID, this more agile and resilient model allowed the firm to grow their market share. An iGPU (integrated graphic processing unit) is a current example. As an example, if we have congested lanes, the system will automatically flag that we have a potential risk of delay based. Factories serve local markets.

Supply Chain Planning Software 117

Supply Chain Planning Software Supply Chain Software Scenario Planning Supply Chains 117

Logistics Viewpoints

MARCH 6, 2025

Lets break it down with some examples that hit home: Supplier Diversification : Reflecting on the disruptions caused by the pandemic, companies heavily reliant on Chinese suppliers faced significant challenges. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains.

Price Reduction 93

Price Reduction Material Savings Cost Reduction Waste Reduction 93

3PL Links

NOVEMBER 12, 2024

Optimize Inventory Management Inventory often represents one of the largest expenses in a supply chain. Solution: Use data-driven forecasting to predict demand as accurately as possible. Example: Retail giant Zara uses real-time data from its stores to adjust inventory dynamically.

Cost Reduction 62

Cost Reduction Material Savings Supply Chain Software Supply Chain Planning Software 62

Talking Logistics

MARCH 27, 2019

Optimization is a ubiquitous term in the supply chain and logistics industry. We all talk about how we need to optimize our operations. In practice, however, relatively few companies are using optimization technology, particularly in transportation. Why is transportation optimization key today? Types of optimization.

Optimization Software 119

Optimization Software Optimization Modeling Optimization Supply Chain Planning Software 119

AIMMS

JANUARY 24, 2019

Today, the steel manufacturing leader has an ambitious digital transformation agenda and is leveraging AIMMS technology to optimize operations in its home country. I belong to this second division and work mostly on mathematical modeling, simulation and supply chain analytics. . I work for the analytics department within Tata Steel.

Optimal Sourcing 116

Optimal Sourcing Supply Chain Software Optimization Software Supply Chain Planning Software 116

Logistics Viewpoints

JANUARY 20, 2025

CONA is a strategic partner that provides its bottlers with a common set of processes, data standards, and technology platforms. While they are separate and independently-owned organizations, they agreed with The Coca-Cola Company to come on to a common data platform with common data standards. Specific products?

Supply Chain Planning Software 88

Supply Chain Planning Software Supply Chain Software Logistics Network Optimization Software Supply Chains 88

Logistics Viewpoints

AUGUST 29, 2024

In this article, we will delve into strategic ways for warehouse managers to eliminate waste, with a focus on not only optimizing the use of cartons and packing, but labor resources and warehouse space as well. One effective method to optimize packing is the standardization of carton sizes. Product slotting is a complex problem.

Waste Reduction 119

Waste Reduction Optimal Sourcing Sourcing Strategies Resource Reduction 119

Logistics Bureau

JANUARY 3, 2025

In this post, we’re revisiting the topic with a more holistic approach, focusing on six factors that can make the difference between an optimal and suboptimal distribution network design. It would be folly not to take advantage of data availability and accessibility.

Supply Chain Design Software 75

Supply Chain Design Software Supply Chain Design Distribution Networks 75

Logistics Viewpoints

JANUARY 23, 2024

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

Supply Chain Planning Software 121

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 121

AIMMS

APRIL 11, 2018

The first product of this partnership is TacticalOps, a Planning & Optimization solution for Food Manufacturers. I spoke with Luis Pinto, Partner at UniSoma, to understand the need for new planning and optimization solutions in the global food supply chain. I’ve seen the attitude towards optimization evolving yes.

Optimization Software 97

Optimization Software Supply Chain Planning Software Optimization Modeling Optimization 97

Logistics Viewpoints

NOVEMBER 19, 2024

The onus is on ecommerce retailers to control the controllables, and focusing on eliminating uncertainty from the consumer fulfillment process and optimizing the last mile is a smart approach. By mapping customer delivery personas to the delivery choices they offer, retailers can improve fulfillment certainty to protect margins.

Cost Reduction 88

Cost Reduction Resource Reduction Price Reduction Vendor Strategies 88

SYSPRO Smarter ERP

SEPTEMBER 27, 2021

Data is a crucial component of digital transformation in the manufacturing sector. However, data in itself is not a value driver. Many manufacturers aren’t maximizing the value from enriching data and missing out on opportunities to grow, optimize or manage risk. Create new revenue models.

Manufacturing Procurement 105

Manufacturing Procurement Data Modeling Software Optimization Software 105

Log-hub

FEBRUARY 12, 2025

By leveraging these technologies, businesses can optimize operations, reduce costs, and make smarter, data-driven decisions. The Future of Matrix-Based Optimization The Future of Matrix-Based Optimization AI and machine learning (ML) take matrix-based analysis to new heights.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Optimal Sourcing 52

IoT World Today

MAY 21, 2020

Increasing supply chain data visibility is a priority for logistics organizations looking to improve resilience. Supply chain recovery hinges on incorporating robust data analytics and other data-driven tools into business operations to increase efficiency, reduce costs and proactively manage risk.

Supply Chain Planning Software 145

Supply Chain Planning Software Supply Chain Software Supply Chains Sourcing Strategies 145

Logistics Viewpoints

FEBRUARY 22, 2022

Meeting today’s logistics challenges of the three C’s – customer service, carbon, and cost – companies are not just looking at gathering data, but also how to better interpret and understand this data, and then use it to drive additional value. Analyze and track your carbon footprint using logistics data.

Data 104

Data Logistics Network Optimization Software Supply Chain Planning Software Cost Reduction 104

EazyStock

OCTOBER 20, 2020

Inventory Control Techniques that use Stock Optimization Best Practices. So we thought we’d focus on the lesser known topic of ‘stock optimization’ – this is an inventory control technique that’s becoming more popular with inventory managers to improve the efficiency of their supply chain. What is stock optimization?

Inventory Reduction 98

Inventory Reduction Optimization Software Inventory Optimization Modeling 98

Logistics Viewpoints

JULY 29, 2021

Machine learning is a process by which learning algorithms are applied to large sets of data to create predictive models. First, DCs are a controlled environment for collecting and aggregating historical and real-time data – and data is a key to effective AI. AI-Based Warehouse Optimization Examples.

Supply Chain Planning Software 130

Supply Chain Planning Software Optimization Software Supply Chain Design Software Modeling Software 130

Logistics Viewpoints

JUNE 29, 2021

In a prior post , I wrote about the various ways data is transforming global supply chains. Data is the raw fuel of digital transformation and the linchpin to accelerating industry collaboration, automation, predictive insights and so many more cutting-edge capabilities (including those yet to be invented). So, what is quality data?

Data 111

Data Supply Chain Design Software Supply Chain Planning Software Digital 111

Logistics Viewpoints

JUNE 15, 2021

Optimize automation/robotics alongside human workers. As a DC planning tool, machine learning represents an alternative to traditional engineering and process modeling. For example, the traditional approach to workforce planning is to use an engineered labor standards system. Engineered Standards vs. Machine Learning.

Optimal Sourcing 127

Optimal Sourcing Supply Chain Planning Software Modeling Software Optimization Software 127

FreightWaves SONAR

MARCH 9, 2021

Data for data’s sake lacks value, especially in the view of the supply chain. And across the market, submitted data becomes rapidly outdated. And in some industries, outdated data can have disastrous consequences. For instance, take the value added by more accurate data in the health industry.

Data 98

Data Reliability Supply Chain Planning Software Trucking 98

Logistics Viewpoints

AUGUST 1, 2024

By embracing collaboration, real-time data, and a focus on sustainability, companies can build resilience, improve margins, and gain a competitive edge. Top Challenges Faced by Companies: Customer Preferences: Example: An online fashion retailer faces the challenge of constantly changing customer preferences.

Supply Chain Design Software 126

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Scenario Planning 126

Logistics Bureau

OCTOBER 10, 2022

Before we look at the barriers to optimal inventory and the possible ways to eliminate or overcome them, let’s be clear on what inventory optimisation means—because misconceptions do abound. For example, you can optimise for cost, profit, or service, but not for all of them. Service as a Barrier to Optimal Inventory.

Inventory Reduction 105

Inventory Reduction Inventory Optimization Modeling Optimization Software 105

Logistics Viewpoints

JUNE 10, 2024

The RISE with SAP offering includes an AI-powered cloud ERP that’s managed and optimized by SAP. When SAP refers to AI, it refers to generative AI based on large language models or AI based on machine learning. I might tell Alexa, for example, “Play the station Smooth Jazz!” This is a public Cloud solution.

SAP 131

SAP Supply Chain Planning Software Supply Chain Software Optimization Software 131

Logistics Viewpoints

MAY 22, 2023

If you have been through this process at least once, you already have a good idea of what supply chain design is about: optimization. When most people hear the word “optimization,” they immediately think about minimizing costs. But optimization is much more than that! First comes the data and how well we understand it.

Supply Chain Design Software 112

Supply Chain Design Software Supply Chain Design Supply Chain Software Modeling Software 112