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If you’re managing inventory with spreadsheets , you’re not alone—but you might be falling behind. While Excel has long been a go-to for planners, the landscape has changed. In this dynamic environment, inventory management powered by spreadsheets is no longer a viable strategy. But familiarity doesn’t equal effectiveness.
Molexs story is interesting because they excelled at overcoming these cultural issues. The most common form of trading partner collaboration is purchase order collaboration. With PO collaboration, buyers send digital purchase orders over the network to suppliers or other trading partners. The buyers dont report to Mr. Gainsford.
Compared to peer group performance for 2013-2023, 59% of the Gartner Top 25 score below their peer group on average revenue growth, 41% below inventory turns, and 41% below their sector on invested capital. I observe that organizations are unclear on outcomes and the definition of supply chain excellence. The reason? Your next step?
Pattern recognition is the ability to discern patterns in data and use the insights for further analysis. The first step was to find a reliable data set and establish the peer groups. We purchasedata from Y charts. (A A syndicated data feed used for financial analysts. Consider Lenovo in Figure 1. but declining.
At the session, we discussed why companies have not made more progress on inventory management. In the case of Apparel and Automotive industries there are slight improvements, but they have shifted inventories to suppliers. Days of Inventory Pre and Post-Recession. We share this data in Figure 3. ” Figure 3.
Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. Enhancing Inventory with Probabilistic Forecasting A supply chain is a complex ecosystem influenced by dynamic variables.
Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. The big data architectures are often present in the current “AI offerings.” Yawn and walk on if the answer is i mproving demand error or reducing inventory levels. The business network market is in need of innovation.)
The award, based on beating the industry peer group on rate of improvement on the key metrics of growth, operating margin, inventory turns, and Return on Invested Capital (ROIC) while outperforming their peer group, is tough to achieve. Orbit Chart for L’Oréal at the Intersection of Inventory Turns and Operating Margin.
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?
You’re juggling production schedules, managing inventory, keeping an eye on finances, and making sure everything runs smoothly on the shop floor. Think of it as the central nervous system of your operation, connecting everything from production planning and inventory control to supply chain management and financial reporting.
Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. 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. The Greenscreens.ai
Even more impressive, lost sales due to stockouts can decrease by up to 65%, while inventory reductions of 20% to 50% are possible. This advanced analysis allows businesses to predict promotional lift with unprecedented accuracy, ensuring optimized production schedules and inventory positioning through sophisticated supply planning.
If I had a magic wand, I would redesign work to transform the planners to become data orchestrators with supply chain planning becoming self-service by business leaders. The Orange layer above the traditional deployments (shown in blue) become the collaborative data sharing area for business leaders. Why Jump Now? Let me explain.
Leveling up your inventory life cycle can be crucial, but keeping all the fundamental factors jumping is essential to let the life cycle evolve. However, if the life cycle stock is healthy, inventory management is smooth. Inventory management revolves around the pivotal concept of the product life cycle. Click here!
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. This is despite the strengths of the recent purchase of Optimity. Is it any wonder that this press release published on Friday afternoon?
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Improve cross-government data sharing and analyze resilience. I am currently doing research on inventory management. Today, this is not the case.
Supply chain excellence is easier to say than to explain. At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. Keith was an undisputed leader in building talent to drive manufacturing excellence. Business leaders are action-oriented and competitive.
How Do You Define Excellence? In retrospect, I find that technology is an enabler, but only if we are clear on what defines supply chain excellence. Many believe that an ex-supply chain exec knows the definition of supply chain excellence. An average margin of 21% with inventory turns of 1.58 I admit it. Lora was as well.
If S&OP efforts were that effective, don’t you think that we would have made more progress against inventory levels, margin, and growth? The issues are largely rooted in politics and the lack of clarity on supply chain excellence. Or planned orders to purchase orders?) Data Everywhere, Insights Are Few.
In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Employees Cannot Get to the Right Data at the Speed of Business A war is raging between Oracle, Salesforce and SAP to automate supply chains. The key is to use channel data and decrease demand latency.
Consumers want to shop anywhere, and buy in the way that they want to buy. Today, we have collaborative data sharing, and collaborate processes, but we seldom have what I term true collaboration. Data Sharing Mechanisms. Share Data Freely and Openly through a Private Network. Current State of Perpetual Inventory.
The issue is data synchronization. The more outsourcing and instances, the greater the issue with data synchronization. Rolling up a perpetual inventory signal takes eleven hours. The company was working on improving real-time ATP without consideration of the data synchronization issues. Reduce Data Latency in Networks.
Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. Most companies buy decision support technology, but do not redefine work to improve decisions. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. Drives Value.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. To manage continuous improvement, companies need a clear definition of excellence and organizational alignment to that goal. They do not excel in planning or forecasting.
In the process, there is a fine line between marketing hype and overpromising, making buying difficult. McKinsey promises improved agility (not defined) with up to a 30% reduction in operational cost and a decrease in inventory of 75%. (I For many tech providers, the message often becomes a religious argument. Digital Supply Networks.
In these conventional IT approaches, data is written and coded with fixed semantics into rows and columns. I term this our data jail. Still, they are ineffective in analyzing flow, understanding relationship patterns, using disparate data, or driving multi-tier insights. As a result, data query is fast.
This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. The planning process should be automated, repeatable, and not dependent on Excel-based manipulation.
So should the purchasing process. . RFIs tend to work well for certain industries (like government) or for purchasing equipment and industrial assets, bu t t hey often fall short in helping supply chain teams select a new software vendor. There is valuable time and effort put in by both the supplier and the purchasing party.
Moving data from the enterprise to a trading partner in point-to-point communication is not a network. Electronic Data Interchange (EDI) does not meet this definition. With slim margins and ever-increasing inventories, companies invested less in capital assets. The models were not implemented correctly to use channel data.
From raw material procurement to final product sales, these supply chains’ ability to minimize inventory through product life cycle controls and facilitate prompt product supply is every bit as important as product differentiation strategies. The establishment of efficient global supply chains has become critical to competitiveness.
Inventory is the lifeblood of any manufacturing business. Thats where data-driven decision-making comes in! By leveraging analytics and key performance indicators (KPIs), manufacturers can optimize inventory, reduce waste, and boost profitability. Tracking inventory flow and performance across your supply chain is a must.
import volumes still climbing (see Figure 1), limited processing capacity at key West Coast ports and the International Longshore and Warehouse Union (ILWU) contract expiring next summer, importers will be scrambling to maintain the inventory they need to support the demand increase.
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. Data surrounds the company. The data in the channel is changing faster than the company can adopt processes and technologies to use it.
As hospitals adopted consignment planning programs, inventory progress slowed. The turns are the lowest of any industry, and despite investments in technologies and processes, inventory turns have only improved 3%, and Cash-T0-Cash (C2C) cycles have declined 4%. This precipitous drop in margin hurts. Companies are feeling pain.
In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Inventory management Another area where digital twins can be beneficial is inventory management. Simulation is the most widely used benefit of a digital twin.
Key takeaways Importance of Procurement Procurement vs. Purchasing Key Functions Departmental Structure Role Descriptions The blog emphasizes the significance of a well-structured procurement department with qualified personnel to achieve organizational objectives. Read In Detail About Procurement Department Here 2.
Data is a big buzzword across industries, but how about when it comes to logistics? William shares how they transform data into critical actionable information that optimizes and powers operations throughout businesses. Beyond The Data with William Sandoval. Our topic is beyond the data with my friend William Sandoval.
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 have also learned that you need a large data pool to derive the type of analysis that I want to publish. What I See in the Data.
For Greater Product Performance Visibility and Improved Sales & Demand Planning Consumer Packaged Goods (CPG) manufacturers operate in an increasingly competitive environment, where the ability to access and analyze timely, accurate data can make or break a company’s success. This process is known as data normalization and harmonization.
Nick Lynch is the Global Excellence Manager at Shell Lubricants, a division of Shell Global. The Company implemented SAP Advanced Planner and Optimizer (APO) including the standard functionality of Demand Planning (DP), Supply Network Planning (SNP), and Production Planning and Detailed Scheduling (PPDS), yet many planners also used Excel.
Linkedin Comment Donald Cavin Data Warehousing Consultant at Ohio State University Comprehensive Cancer Center-James Cancer Hospital & Solove Research Institute. My thought was to combine my experience working on visibility solutions with Descartes Systems Group and Manugistics with recent research data. Embrace Disparate Data.
As an old gal attending multiple conferences (more than I would like at times), I have listened to speakers waft eloquently about the value of concepts like networks, big data, industry 4.0, However, this increased data flow and interconnectivity also heighten operational and cybersecurity risks. and digital supply chains.
This blog explores procurement vs supply chain strategy and looks at how aligning the two leads to operational excellence. It includes procurement but also spans logistics, production, inventory management, and distribution. Theyre still too often stuck in their own lanes. It doesnt have to be that way.
<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. They center on how to make a good decision in the purchase of supply chain planning solutions. Most have purchased software, but are dependent on Excel spreadsheets.
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