This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. He leads a team of market experts who study every facet of the logistics industry to bring the best available insight to customers.
Global supply chains have been tested repeatedly by a series of disruptive events, including the COVID-19 pandemic, U.S.-China In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions.
As customers increasingly demand rapid and reliable delivery, optimizing this final leg of transportation becomes essential for businesses aiming to enhance customer satisfaction and operational efficiency. Key Benefits of Last-Mile Delivery Optimization: Reduction in operational costs and fuel consumption.
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. Amazon is a leader in AI-driven supply chain management.
Recent disruptions have exposed significant vulnerabilities in traditional models, driven by geopolitical instability, fluctuating demand, and operational inefficiencies. Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions.
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.
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
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. Most companies dont.
Situation Companies are increasingly confronted with complex planning scenarios due to predictable events such as mergers and acquisitions, category expansions, supplier changes, and distribution evolution, as well as disruptive events including demand volatility, material shortages, capacity constraints, and logistical surprises.
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! Let’s continue with this analogy.
Three technologies have emerged as game-changers for third-party logistics (3PL) and supply chain experts: large language models (LLMs), freight optimization platforms and no-code automation. These AI-driven models can understand and generate human-like text based on the input provided. The answer lies in data.
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.
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.
Optimize Inventory Management Inventory often represents one of the largest expenses in a supply chain. By leveraging predictive analytics and a just-in-time (JIT) inventory model, you can maintain optimal stock levels, which reduces storage costs and cuts down on waste from unsold items.
During COVID, this more agile and resilient model allowed the firm to grow their market share. We have complete visibility of the performance of the entire supply chain in one tool. This was meant to be an internal tool for Lenovo. Then, the tool drills down and looks at real-time performance on late orders or parts.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. Instead of relying solely on a single, monolithic AI model (based on a massive large language model), a company can orchestrate a team of specialized agents, each leveraging the best AI or mathematical technique for its specific task.
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?
Additionally, software vendors continuously invest in tuning the performance of their algorithms and models. There is limited value to running an outdated process faster, and that value drops considerably when significant portions of the process run outside the enterprise tools.
As Josh Dritz, VP of Operations Technology and Automation at Messen Medical Surgical, pointed out, Geopolitical factors, extreme weather events, labor issues, and pandemics are just a few of the challenges that constantly threaten supply chains. Use tools to automate root cause analysis and reduce dependency on manual reporting.
The concept of digital twins has emerged as a powerful foundational tool to drive improvements in warehouse productivity and efficiency. Simulation allows you to model hypothetical scenarios and physical changes without having to physically change the asset. Physical change (i.e.,
Amazon, Walmart, and other leading enterprises win by ensuring that their product is close to the customer, optimized for the best shipping time, and held in the correct quantity. To scale, an optimized distribution network is required to meet customer expectations and business growth targets.
AIoT is built for industrial companies looking for better ways to connect their evolving workforce to data-driven decision tools and digitally augment work and business processes. Beyond pharma and biotech in the chemical industry, it’s common to have dedicated models for equipment and leverage a hybrid modelling approach.
In recent months, I ‘ve been active in several events in the region and I’ve noticed a changing trend. Companies are increasingly eager to hear about optimization and advanced analytics. There are several areas where companies are eager to apply optimization. Their CEO wanted to adopt optimization really early on.
It provides an early warning system that helps business stakeholders sense and optimize their responses. Another reason for dissatisfaction might be the tools used. The ability to create scenarios: model one-off events to assess your performance in times of crisis or model alternative ways to resolve problems as they arise.
Agility can also reflect a company’s ability to effectively deal with unexpected constraints caused by strikes, earthquakes, political strife, and a variety of other events. For companies with any complexity surrounding products, channels, or customers, no IBP process can be considered robust without employing SCP tools.
By leveraging these innovative tools, businesses can not only mitigate risks but also secure future growth and stability in an increasingly uncertain environment. By doing so, it enables more informed decision-making, optimizing operations and improving overall efficiency.
The supply chain, an integral part of modern commerce, continues to evolve, learning from the impacts of industry trends and global events over the years. Machine learning presents a solution by optimizing the flow of products from one location to another. It thrives on reliable, high-quality, and timely information.
This promises to be a very eventful year. Many are relying on advanced analytics to optimize their supply chain for sustainability. The Institute of Forest Management from the Technical University of Munich developed an AIMMS model that helps forest enterprises consider risks and strategies for carbon mitigation.
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.
Unisys has unveiled ‘Unisys Logistics Optimization’ , a new quantum-powered solution designed to help organizations solve complex logistics optimization challenges in seconds. This is where Unisys Logistics Optimization steps in.
A new generation of advanced solutions , enabled by artificial intelligence (AI) and machine learning (ML) – has created new supply chain models and new work processes that are purpose-built for today’s extreme uncertainty. This might sound too good to be true, especially to companies still using outdated tools and manual processes.
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. But with a black-swan event, it just magnifies the risk.”. Sign up for virtual event updates here. ].
Supply chain executives must evolve from cost and service as the key objectives for optimal demand-supply balancing towards the “quadfecta” of cost, service, resiliency, and sustainability. Inflation, pandemics, railway strikes, adverse weather events – the supply chain disruptions keep on coming. are most exposed to risk?
To meet these demands, shippers need the right supply chain management tools with the flexibility to grow and scale as needed. The right supply chain management tools help not only to enable shippers to provide better customer service and on-time deliveries but also to remain competitive with everyone else in the market.
In today’s complex and interconnected global economy, managing supply chains has evolved into a sophisticated discipline that requires advanced tools and strategies. This blog post delves into the intricacies of multi-tier supply chain analytics and optimization, exploring its significance, methodologies, benefits, and challenges.
In today’s complex and interconnected global economy, managing supply chains has evolved into a sophisticated discipline that requires advanced tools and strategies. This blog post delves into the intricacies of multi-tier supply chain analytics and optimization, exploring its significance, methodologies, benefits, and challenges.
When my fiance heard about the price, he advised that I find a local hairdresser and set up a frequent-shopper account with them for a few months until the tool is back in stock. We can say things have changed, and the pandemic is not just an anomaly event after all. Network cost modeling. Automated forecasting processes.
Accurate data forecasting requires accurate data, robust data analysis tools, and people who understand how to use them. It can be used to predict long-term trends or short-term (seasonal) demand, depending on the model you use. Your fulfillment center or 3PL should be able to give you this cost or make it easy to find in a few clicks.
Ensure that, somewhere along the way, data diagnostic tools will be used to check for missing and inconsistent data automatically. . Maintaining all past and future promotional events in a database. Maintaining outlier events that have influenced demand patterns or supply availability . Modeling the impact of weather events.
Without sufficient data, AI models can’t uncover meaningful patterns, make accurate predictions, or provide valuable insights for informed decision-making in complex and dynamic environments. At the same time, feeding your AI models too much data can also be a problem. Data is the lifeblood of AI in the supply chain.
It gives us immense pleasure to announce that Locus has been listed as a Representative Vendor in the 2022 Gartner® Market Guide for Supply Chain Network Design Tools. There is also the question of rising uncertainty caused by unpredictable events on supply chain performance.
One effective approach is investing in storage systems, which integrate strategies and tools to simplify workflows and deliver better results. Heres an overview of some of the most popular storage systems and their critical role in optimizing inventory control. Heres a detailed look at the three most common types: 1.
Technology Solutions Route Optimization Software Leveraging route optimization software like RouteManager helps maximize efficiency, reduce fuel costs, improve delivery times and much more. Route optimization also helps reduce fuel consumption and maintenance costs, contributing to the overall profitability of the business.
Plus, extreme weather events and changing storm patterns challenge seafaring vessels. Marine optimization technologies help address all these issues. Applying optimization technology in a practical environment increases efficiency while lowering the pollution footprint across the marine supply chain. from originally 3.5%
We organize all of the trending information in your field so you don't have to. Join 84,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content