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
The 2025 NA Gartner Supply Chain Symposium|Xpo made one thing crystal clear: AI is no longer the futureits the engine driving the transformation of todays supply chains. From smarter networks to scenario planning, here are key takeaways from our time at the event: 1. AI Is the Heart of Change The narrative has shifted. AI isnt just a toolits the foundation for building the processes of the future.
In the beginning, there was AI that learned. Then came generative AI drafting emails, designing ads, and helping developers code. But 2025 ushered a momentous change to everything we know about autonomy: goal-driven AI. Generative AI (GenAI) took off by mimicking creativity. It could write poetry, generate code, or answer inquiries about next months forecast.
Supply chains are no longer just a businesss logistical backbonetheyre the frontline where competitive advantage is won or lost. Companies that fail to evolve will continue to fall further behind, while those embracing AI-driven solutions, resilience, and sustainability will truly redefine the future. Good enough just wont cut it anymore no matter the size of your business, as Markus Malinen , EMEA Vice President at Logility, puts it.
Balancing forecast accuracy with inventory management gets more challenging every day. Traditional approaches often divide departments like sales, marketing, and production. This makes it hard to reach agreement. It can also lead to missed opportunities and conflicting priorities. Fortunately, this is starting to change. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management.
Atlanta, GA – November 21, 2024 – Logility Supply Chain Solutions, Inc. ( Logility ) ( NASDAQ: LGTY ), a leader in AI-first supply chain planning software, today reported its second quarter fiscal year 2025 financial results. “Subscription revenues continued to grow, up nine percent year over year in the current quarter, even though we faced a number of headwinds as start dates on a couple of projects pushed out and delayed closing of several late-stage deals in our pipeline,” said Allan D
An interview with Logility’s President and CEO, Allan Dow, for the Executive Platforms’ “The Blueprint” Podcast. From geopolitical instability to labor shortages and sustainability demands, supply chain leaders must continuously evolve their strategies to stay competitive. Thankfully, artificial intelligence and generative AI offer powerful tools to build resilient, agile supply chain operations that can respond to the challenges of today and tomorrow.
With more and more triple extortion scams on the rise, organizations need to use a layered defense model to get ahead of cybersecurity risks. In a keynote session at LogiCon24 , one of the speakers, Rachel Wilson, spoke in detail on tactics to supply chain cybersecurity risk mitigation. Here are 10 tips for avoiding and managing cyber-attacks. Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code.
With more and more triple extortion scams on the rise, organizations need to use a layered defense model to get ahead of cyber security risks. In a keynote session at LogiCon24 , one of the speakers, Rachel Wilson, spoke in detail on tactics to supply chain cyber security risk mitigation. Here are 10 tips for avoiding and managing cyber-attacks. Patch & Update Devices: Software manufacturers are constantly discovering new flaws, bugs, and weaknesses in their code.
With over 1000 participants, the first annual LogiCon24 Virtual Supply Chain Summit hosted by Logility brought together industry experts, thought leaders, and enthusiasts to reimagine supply chain. The agenda featured a mix of keynotes, discussion forums, and breakout sessions spanning from what keeps executives up at night to leveraging new and existing technology solutions.
The future of supply chain management is constantly reshaped by challenges that keep industry leaders up at night. Everything from geopolitical instability and global inflation to labor shortages and sustainability pressures are dictating evolving rules for advancements like AI and a pathway to supply chain resilience. What bold moves must CEOs and supply chain leaders make today to ensure survival tomorrow?
With the theme “Reimagine Supply Chain,” the Summit will engage Logility clients and supply chain professionals looking to innovate and optimize their operations to reimagine the way supply chain gets done. Atlanta, GA – September 19, 2024 – Logility Inc. , a leader in AI-first supply chain planning software, today announced the first-ever LogiCon24 Virtual Summit, a half-day Logility client and supply chain professional conference on September 24, 2024, from 10:00 am – 2:30 pm ET.
The cloud has emerged as the cornerstone of modern business and supply chain innovation. From retail and food and beverage to manufacturing and life sciences, companies from a wide variety of industries are realizing the benefits of the technology, revolutionizing how they operate, collaborate, and generate value. Yet, many manufacturers still rely on outdated, self-managed ERPs – and the consequences are nothing short of severe for every supply chain they touch.
Enhancing the Power of Demand Forecasting with Ensemble Forecasting In the realm of demand forecasting, accuracy is essential. Accurate predictions not only ensure optimal inventory management but also drive better decision-making across various sectors such as retail, manufacturing, and supply chain management. Ensemble modeling emerges in the pursuit of precision as a potent technique that surpasses traditional tournament models and time series forecasting methods.
Traditional demand planning has long been owned by only the supply chain organization – gathering data from all corners of the business through lengthy spreadsheets and often leaving out critical information. Now, with AI-powered collaboration, the entire business can own and influence the demand forecast in a more comprehensive way leading to reduced risk, increased forecast accuracy, and significant working hours saved.
Traditional demand planning has long been owned by only the supply chain organization – gathering data from all corners of the business through lengthy spreadsheets and often leaving out critical information. Now, with AI-powered collaboration, the entire business can own and influence the demand forecast in a more comprehensive way leading to reduced risk, increased forecast accuracy, and significant working hours saved.
Continuous network optimization recognizes that supply chains are complex organisms. They need to respond to many changing factors, including: variation in demand, supplier capabilities, freight rates, commodity pricing, disruptions, And the list goes on… Supply chain leaders need a more efficient way of managing these smaller, faster changes.
Continuous network optimization recognizes that supply chains are complex organisms. They need to respond to many changing factors, including: variation in demand, supplier capabilities, freight rates, commodity pricing, Disruptions, And the list goes on… Supply chain leaders need a more efficient way of managing these smaller, faster changes.
Generative AI has taken the world by storm, and the supply chain industry is a perfect candidate to benefit, with opportunities for integration of generative AI from strategic planning to execution processes. Yet, the question remains: Is your supply chain mature enough to integrate Generative AI effectively? Visualize the following supply chain scenario: data on forecasting are confined to spreadsheets, updates on transportation are trapped in emails, and inventory levels are locked in database
The consumer products giant, Reynolds Consumer Products is helping keep food fresh longer and kitchen safe. With approximately 95% of American households relying on products like recyclable aluminum foil, self-sealing wax, freezer paper, disposable bakeware, trash liners, and more, this organization strives for continuous improvement in their supply chain.
As a supply chain leader, you may tend to prioritize efficiency. From improving the quality of technology within your organization to building richer, more reliable supply chain relationships, you must look for every opportunity to streamline operations. But there’s one element of the supply chain that’s often neglected in the pursuit of efficiency: human economics.
Modern supply chains are far from linear. They now resemble complex labyrinths, where balancing overstocks and stockouts is merely the starting point. In this dynamic environment, businesses must meet rising customer service expectations while driving innovation and growth. Such complexity drives demand volatility. This urges a shift from the unsustainable practice of buffering against uncertainty with high inventory levels.
Supply chain organizations are rapidly adapting to a competitive workforce, new technologies, and a growing supply chain ecosystem. To keep pace and ensure sustainable growth, investments in technology to improve the productivity of people are increasing. Many are turning to artificial intelligence (AI), specifically generative AI, and decision intelligence tools.
The world of supply chain management is dynamic, challenging, and essential to the function of businesses and economies. To new talent, the supply chain industry might be out of sight and out of mind; however, it touches almost every facet of your daily life. Becoming a supply chain professional gives you the opportunity to contribute to an integral part of an essential industry.
Accelerate Decision Making with a Dose of Digital Transformation Over the last 100 years, the human lifespan on Earth has grown significantly, mostly due to progress in the medical field. Lifespan has nearly doubled in a century and is continuing to grow as the life sciences industry advances. The life sciences are integral to the quality of life and lifespan, but the field faces some uniquely difficult inventory challenges.
Leveraging AI for Faster, Strategic Decision Making There is a lot of information out there around generative AI, and it’s difficult to separate fact from fiction. As a member of Logility’s research and development team with a specialization in generative AI, I have a front row seat to witness the rapid expansion of artificial intelligence technology.
Everywhere we look, artificial intelligence (AI) is pushing the boundaries of everything businesses and their people do. The opportunity to analyze vast amounts of data and make informed decisions in real time is not only increasing operational efficiency but also creating innovative models that drive higher cost savings and customer satisfaction. Inventory planning and optimization are no different.
Dow and Ngabire have committed their time and talents to positively influence the supply chain profession. ATLANTA – March 11, 2024 – Logility, Inc., the leader in AI-first supply chain planning software, announced Logility employees, VP of Business Development, Diane Ngabire and President, Allan Dow, were named as winners of this year’s Pros to Know award.
In an ever-evolving technological landscape, new potential explodes in the supply chain space daily. With improving machine learning and artificial intelligence capabilities, advanced analytics are shifting, becoming a more attractive option to leaders across industries. But how can you incorporate advanced analytics into your supply chain flow? What do you need to have in place before you can do it to guarantee success?
How an AI-First Mindset Is Reinventing Supply Chain Operations AI has captured widespread fascination, igniting imaginations across various sectors. From generative AI for supply chain to AI-assisted development and copilots, the potential of these advancements has gained significant attention when it comes to revolutionizing work efficiency, streamlining decision-making processes, and elevating business productivity.
In an era marked by rapid market shifts and evolving business landscapes, precision and speed in demand planning have transcended from being mere advantages to absolute imperatives. This was the central theme of Piet Buyck’s recent webinar, “Implementing an AI-First Demand Planning Solution.” Buyck, a leading figure in demand sensing and AI-first demand planning, provided more than just an overview of new technologies.
What defines a high-performing supply chain? Depending on who you ask, the answer can be anything from low costs and efficiency to a delicate balance between profitability and customer service. However, this year promises a significant paradigm shift where traditional performance metrics are replaced by technology-driven frameworks, as recent breakthroughs with Generative AI in supply chains have demonstrated.
How AI in Supply Chain Brings Value to Your Business Supply chain leaders are looking to get a firmer grasp on their supply chain planning. And what better way to start than artificial intelligence (AI)? Over the last few buzzword-laden years, we’ve seen many shiny new tools generate excitement – and confusion – around the potential of AI. Technologies are being designed from the ground up to use AI capabilities to improve forecasts and reveal insights faster than any human could.
Navigating the $5 trillion North American apparel market requires precision, especially when dealing with the intricate complexities of forecasting and inventory management. This blog cuts through the complexity, presenting how supply chain AI strategy and machine learning, especially through the power of generative AI and InventoryAI+, are essential in crafting a smarter, more responsive retail supply chain.
From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning. Staying competitive in this intense landscape demands finely tuned operations that are highly efficient and effective – from product concept to customer consumption.
In the rapidly evolving world of supply chain management, relying on outdated notions or oversimplified strategies can lead to significant missteps. That’s why adapting forecasting methods is essential to navigate the diverse and constantly changing demand patterns effectively. In this article, we’ll explore why a dynamic forecasting approach is beneficial and necessary for today’s demand planners to maintain accuracy and efficiency.
Supply Chain AI has sparked considerable excitement, shock, and fear over the past year. From Generative AI innovations like Chat GPT to industry events, analysts, and mass media stories, every business leader is being tested – from their vision and trust in the technology to internal preparations and integration of artificial intelligence into supply chain operations.
Sales and operations planning (S&OP) has been a longstanding practice for businesses across nearly every industry. However, this critical supply chain process has been under enormous stress lately from departmental silos, complex trading partner networks, and geopolitical turmoil. Meanwhile, planners skilled to handle these challenges are in short supply – especially as supply chain leaders retire in record numbers.
In a world characterized by market volatility and unpredictability, businesses constantly navigate supply chain disruptions, erratic demand patterns, and unexpected risks. While traditional forecasting methods have served us well, they often fall short when addressing the evolving challenges of today’s dynamic business landscape. Enter Artificial Intelligence (AI) — a buzzword that’s more than just hype, as said in an Accenture survey, 86% of executives are actively investing in it.
Conquer Intermittent Demand with Stochastic Replenishment Planning Industrial durables companies face the perpetual challenge of managing items with intermittent demand patterns. These items often exhibit sporadic and unpredictable fluctuations in demand, making traditional inventory management methods less effective. To tackle this issue, many industrial durable companies are turning to probabilistic replenishment planning, a data-driven approach that offers practical solutions to the unique ch
When Logility embarked upon the journey with AI-first planning and DemandAI+ we were on a mission to solve some very pertinent but complex set of problems. The founders had been in the enterprise software space and business planning space for decades and had come to the painful realization that technology was truly holding back this domain. The supply chain technology landscape was rife with decades old code; month/year long projects and IT integrators were the norm to make the tiniest changes i
Even the most seasoned demand planners have struggled against unprecedented challenges in recent years. An increasingly accessible global supply chain, massive increases in the availability of consumer data, and other continued complications have brought rapid change to the process of delivering products to consumers. To meet the changing demands and continue to thrive, organizations need to find a way to align themselves with the permanent changes in the world and acquire the capability to tran
Supply Chain Planning: The Gratifying Career Choice This is that time of the year when many people around me are getting ready to send their children off to college. That, combined with the last two years of massive supply chain breakdowns keep raising a question in my mind from time-to-time. Why don’t more kids want to grow up and solve the complexity of global supply chains?
In today’s fast-paced world, demand planning has become increasingly complex, and traditional demand planning systems have struggled to keep up. SAP IBP is a powerful tool that brings together all the elements of large organizations, including supply chain management, sales, finance, and operations, into one integrated platform. By consolidating data from multiple sources, SAP IBP allows organizations to gain a clear understanding of their supply chain and demand planning processes.
Why do you need Generative AI in your supply chain? Your voice assistant probably can’t tell you, but we can. When mobile voice assistants launched, everyone marveled at how you could just ask a question out loud and get a response from your phone or other electronic devices. How cool was that! No logging in, no typing your question in a way the search engine wanted.
We organize all of the trending information in your field so you don't have to. Join 102,000+ 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.
131 
Let's personalize your content