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While Excel has long been a go-to for planners, the landscape has changed. Disruptions are constant, demand is volatile, and complexity is increasing. Companies that embrace inventory optimization through modern tools are moving toward a high maturity supply chain model —and reaping the rewards.
I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.
Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Given your expertise, I’d love to hear what alternatives you recommend for better demand forecasting and real-time visibility beyond what’s commonly adopted today.” The reason?
Building a software company is hard work. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. Try to gain an understanding of how technological advancements can improve work. Yawn and walk on if the answer is i mproving demand error or reducing inventory levels.
Thats why modern BI systems are quickly becoming the go-to solution for data-driven enterprises. They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reporting tools that can’t. But lets be clear: not all BI platforms are created equal. Why does that matter?
Commerce is global and regional at the same time, the world is getting smaller and more interconnected, and Consumer Packaged Goods (CPG) manufacturers operate in this build-anywhere and sell-anywhere market. End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance.
New technologies revolutionizing transportation are creating tremendous opportunities but also unprecedented challenges for tire manufacturers. Supply chain optimization is essential to achieve this and can help tire manufacturing companies deliver significant reductions in supply chain costs and improvements in service levels.
Warehouse optimization isn’t just a buzzword; it’s a lifeline for businesses seeking to thrive in the demanding world of modern commerce. It’s a holistic approach that blends strategic planning, streamlined processes, and the right technology to transform your warehouse into a well-oiled, profit-generating machine.
Technology can change or even improve work. In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. We still plan like it is 1999–when we were bracing for Y2k–versus using new forms of technology to improve planning. What’s missing?
As a result, a wide range of businesses, from restaurants, and retail chains, to manufacturers, have been redesigning their business services and operations and re-engineering their supply chains. We need planning platforms to keep up with all the changes. This is how composable systems work.
At the end of a long day of a strategy session on supply chain excellence with a client, I needed to fill up some time in an agenda. The genesis of the River of Demand learning activity. While each installed the technology, they are unclear about what drives a good plan. The result? Background.
” Followed by “How are you organized, and what defines functional excellence? And, how do you tie functional excellence to corporate value?” Companies became less clear on the definition of supply chain excellence and how to implement decision support technologies. This gap grew over the last decade.
During the 1980s, I was on a management team for a large manufacturer. The Company was attempting to gain economies of scale by grouping manufacturingtechnologies within a common infrastructure to reap the benefits of a co-generation facility, a centralized warehouse, and a talented administrative team.
Today, supply chain excellence matters more than ever. While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. Globally ten percent of jobs are in manufacturing, while 37% are associated with supply chain management. The supply chain technology market is responding.
However, what is clear from our recent study of 73 manufacturers using supply chain planning is that companies using best-of-breed solutions implement faster, achieve a quicker Return-on-Investment (ROI), and are more satisfied. Only Logility and American Software have the same name and business structure. Was it intentional?
Supply chain excellence is easier to say than to explain. The supply chain is a complex non-linear system. The culture is dominated by “lifers” and technology investment is conservative. Keith was an undisputed leader in building talent to drive manufacturingexcellence. The reason?
The group needed a clear market signal on consumption patterns and the translation of demand with minimal latency to optimize price, mix, and schedule the factory to manage margin. Consumers constantly change the mix preferences in purchases. Somedays, the focus is on steaks or ribs and the next on the purchase of ground or cubed meat.
The lack of interoperability between decision support platforms is a problem for companies attempting to improve decisions from the channel to supplier bi-directionally through technology. I believe demand is a flow based on the combination of products/services/customers and channels, as shown in Table 1.
Despite two decades of advancement in supply chain technologies, companies are struggling to gain balance at the intersection of operating margin, inventory turns and case fulfillment. I believed that the first generation of supply chain systems would improve operations to a greater degree than actually happened. I am an old gal.
It was funded by 50 large consumer products manufacturing companies (CPG). In the dawn of e-commerce, conservative manufacturers, anteed up $240 million in four months. I asked companies to “Navigate through the hype focusing on the feasibility of scope and technology.” The stories border on the ridiculous. Clear governance.
Based in Paris, L’Oréal is a global personal care manufacturing company. We define agility as the ability to deliver the same cost, quality and customer service given the level of demand and supply volatility. Anticipating the shifts in demand, the company’s focus is increasingly digital.
Networks take three forms–demand, design, and supply. In this research, 81% of brand owners and contract manufacturers primarily depend on communication through email and spreadsheets. In this research, 81% of brand owners and contract manufacturers primarily depend on communication through email and spreadsheets.
. <Bear with me… > Here I share a nine-step process in an attempt to help companies unravel the process for buying supply chain planning software. Polluted with well-intended marketing messages by over-zealous technology providers and consultants creates confusion. The genesis for this post stems from frustration.
Each executive has a different perspective on the definition of supply chain excellence, but they are never discussed and aligned. His organization purchased an advanced planning technology from well-known best of breed provider, and the implementation should have been successful, but it was not. What Is The Ring of Fire?
The Failure of Existing Demand Planning Solutions. During the pandemic, supply chain leaders turned off their demand planning solutions. The systems–based on shipment and order data–were out of step with the market. Next Steps: Start to model demand based on market data to align the organization on baseline demand.
Yesterday, @DamarqueViews asked me a question on twitter: “What do you think are the greatest barriers in the adoption of social technology in the supply chain?” I find the evolution of social technologies, and the promise of social, exciting for the supply chain. They excel in the four Ps of marketing.
For most digital became an excuse to implement more traditional relational database technologies. Most companies invested in enterprise transactional systems, but their networks operate primarily through spreadsheets and email. Most are excited about their new platforms. ” Does the Dog Hunt? I am researcher.
The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. The first evolution of technologies were built by best-of-breed solution vendors. The first step in the journey is a kick-off meeting.
The tires put on the new cars generate subsequent pull-through demand. Pirelli’s challenge is determining how many units will need to be made and where this replacement demand will come from. Demand forecasting is done in collaboration with OEM customers. In some cases, the company had to buy market data.
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 previously founded and led Factory Logic, Inc. acquired by SAP).
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
In the process, there is a fine line between marketing hype and overpromising, making buying difficult. The race started in 2016 as a foggy definition of digital appeared in supply chain marketing from technology providers. Yet, the models depict traditional supply chain software deployments. Looks similar to McKinsey, right?
As a developer working on the braking software of an automatic car for the past eight years, he constantly tells me that it is not easy, and all of the estimates are too waaaay too positive. The perspective of a manufacturing leader is quite different than that of a business leader in logistics. “ Reflection. The facts are clear.
The solution needs to enable real-time visibility and collaboration across your supply chain to meet demand and ensure the accuracy of quality, quantity and timeliness of supply — all to further a more resilient supply chain. The user should also have easy access to related attachments and reference documents.
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Interestingly, in Q3 2023, 38% of manufacturers, distributors and retailers missed their target for revenue guidance for the quarter. The result was restatement.
This is why I host training twice a year to challenge existing technology paradigms. He feels that based on his years of experience with a software provider, he has a whizzbang technology. Contract Manufacturing Signal Latency. In our research, we find that 32% of volume is manufactured by a third party.
Production schedulers and planners work every day to balance limited labor, materials, production time, and availability of machines and tools against forecasted demand, customer orders, and the backlog. They can do the following that directly help customers know when quoted orders will arrive and ensure orders are on time.
by Trevor Miles I have been in the advanced planning and scheduling (APS) space since 1995 when I joined i2 Technologies in Europe. My enhancements were to add the underlying technology and company information at the bottom which gives some context. . Let me start with the confusion between planning and execution. She states that.
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. Thats a tall order for food and beverage manufacturers.
Let’s start with the definitions: Graph AI uses Machine Learning on graph-based technology to understand the relationships between variables to drive insights. Graph technology leverages graph structures to represent and store data. Running optimizers frequently introduce noise and error into a complex system.
CAGR , the global supply chain management software market is expected to touch USD 50 billion by 2032. This one figure speaks volumes about how organizations worldwide want access to the best supply chain management tools to boost efficiency and value in their distribution and logistics network. Growing at an overwhelming rate of 11.1%
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