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In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.
Solvoyo has a metric they call the user acceptance rate. This metric measures the percentage of time the planners accept replenishment, transportation, or inventory plans as they are without any change in the timing of the delivery or the quantity to be delivered. If a user makes changes to the plan, they log that data.
Creating a data-driven supply chain tracking important transportation metrics helps shippers respond and adapt as quickly as possible to known and unknown events. Why Monitor Transportation Metrics. Actionable data is one of the most critical business drivers.
That’s where data analytics comes in. Modern supply chains thrive on real-time data, execution-focused applications, and dynamic decision-making. In this post, we’ll explore how data analytics can revolutionize your supply chain. Demand Forecasting: Analyze past data to predict future needs.
Returns Management and Integration With 35% of online purchases being returned, predominantly to physical stores, retailers are grappling with the ripple effects on inventory management. Early adopters of these integrated platforms report significant improvements in inventory turnover and reduction in stockouts.
But shippers looking to avoid disruptions and ensure that tight inventory levels don’t lead to missed sales opportunities pulled their orders forward. As companies look ahead to the next three to six months, they’re weighing costs, risks, and demand as they plan and adapt their inventory strategies.
Assessing Infrastructure and Technological Capabilities The first step in the readiness assessment is to evaluate the organization’s IT infrastructure and data management systems. Organizations must also evaluate the quality, integrity, and security of their data to ensure it is reliable enough for DPP purposes.
Offering comprehensive solutions, including warehousing, order fulfillment, and inventory management, Launch Fulfillment helps eCommerce brands streamline their supply chains. Client Access & Transparency: Provides client access to their shipping data for increased transparency and decreased administrative overhead.
Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy. With crystal clear, up-to-the-minute, and accurate data that enables organizations to see what’s happening across their entire supply chain and take smart, decisive action.
Picture this: You’re a warehouse manager, and with a few taps on your smartphone, you instantly know the exact location and quantity of every item in your inventory. That’s not science fiction—it’s the power of mobile inventory management. Ready to turn your inventory from a headache into a strategic asset?
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 shortages resulting in empty shelves or parking lots of WIP inventory represent a spectre causing supply chain leaders to reconsider supply chain inventory practices. Opinion of just-in-time (JIT) as a practice has taken a battering and inventory is rising. Is supply chain inventory the problem?
Data is the lifeblood of AI in the supply chain. 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.
Why should we consider Promotion Planning in Inventory Management? Whether it be e-commerce, brick-and-mortar, or both, retail companies care about the inventory they keep. During promotional management, especially for big events around special days and holidays, inventory levels need to be adjusted to meet the peaks in demand.
trillion distortion inventory problem. Trillion Inventory Distortion Problem In this podcast, Karl Swensen, CEO and Co-founder of Pull Logic, discusses how their AI-enabled technology helps retailers, brands, and manufacturers reduce lost sales by addressing supply chain and selling process failure points. Summary: Solving the $1.8
For demand forecasting, this means looking beyond mere accuracy to focus on: Strategic decision-making improvements Cost reduction strategies Inventory optimization Customer service enhancement 2.Understand Define Clear Business Outcomes The most successful technology investments start with a clear understanding of desired business outcomes.
Despite the evolution of technology, none of the 28 industry segments I follow can drive improvement at the intersection of operating margin and inventory turns. That tightly integrated advanced planning (APS) coupled to Enterprise Resource Planning (ERP) using order data is sufficient. Change is Hard. Unlearning is Tougher.
Choosing the right inventory management software , often referred to as an inventory control system, can be the difference between a well-oiled, profit-generating operation and one plagued by costly mistakes and inefficiencies. Modern inventory management solutions have evolved far beyond basic stock counting.
The supply chain is complex non-linear system that is easily thrown out of balance through a focus on functional metrics. They rock back and forth in improving singular metrics but struggle to improve a portfolio of growth, margin, inventory performance, and asset utilization. Stop the Focus on Functional Metrics.
That’s the power of manufacturing data collection. Data transforms operations. Manufacturing data collection is your secret weapon for boosting efficiency, cutting waste, and staying ahead of the competition. Let’s dive in and unlock the potential of your manufacturing data.
My goal is to convince you to ground supply chain processes and technology implementations in data analysis while tying the results to the improvement in corporate performance. Only four percent of companies compared to their peer groups improved balance sheet performance of growth, operating margin, and inventory turns.
AI-powered warehouse management improves inventory flow and reduces waste. Blockchain also facilitates collaboration by sharing verified data across stakeholders. Blockchain also facilitates collaboration by sharing verified data across stakeholders. Immutable records enable accountability throughout the supply chain.
In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times. We’ll examine the key components of efficient supply chains, explore essential performance metrics, and uncover the fundamental drivers that influence efficiency.
A shift from functional metrics to a balanced scorecard. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. The focus on functional metrics sub-optimizes balance sheet results. Funny, isn’t it? Improved Forecast Value Added (FVA). Market-Driven Process.
At each company, there is a relationship between the metrics of growth, margin, inventory, customer service, and asset strategy. For the purpose of this article, I will use Return on Invested Capital (ROIC) as the proxy metric to discuss asset utilization.) Understanding this relationship requires modeling. (A A Case Study.
Think about it: How much time is wasted hunting down misplaced inventory? How much could you save by streamlining your workflows and empowering your team with real-time data? These include: Barcode Scanning Devices: These handheld devices, equipped with integrated inventory management apps, enable real-time tracking and data entry.
Using balance sheet data from 2011 to 2019, we chart companies’ progress by peer group on rate of improvement and performance in the metrics of growth, operating margin, inventory turns, and Return on Invested Capital (ROIC). The charts and data get boring pretty quick.) The reason?
IoT: Powering the Future of Digital Product Passports The Internet of Things (IoT) continues to impact how industries track products and manage data. This network of devices enables seamless, automatic data collection from physical objects in near real-time.
Pattern recognition is the ability to discern patterns in data and use the insights for further analysis. The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time. The first step was to find a reliable data set and establish the peer groups. We purchase data from Y charts.
Orbit Chart of Four Industry Sectors at the Intersection of Operating Margin and Inventory Turns (Year-over-Year Averages for the Sector). Less than 50% of the required data for supply chain planning comes from ERP. Lack of Focus on Form & Function of Inventory and Designing Network Flows. Supply Chain Maturity Progression.
Companies speak about moving from a functional metric focus to managing corporate metrics, but this does not happen. Of the 114 balance sheet metrics tested in work with the statisticians at Georgia Tech, operating margin improvement has the highest correlation to market capitalization. Hence the Facebook analogy.)
Optimization engines to improve functional metric performance resulted in an exploding number of planners. 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. How does this happen?
quintillion bytes of data every day. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. The retail industry is rich with data.
Over the last six years, we studied the connection between business results (growth, operating margin, inventory turns and Return on Invested Capital (ROIC)) and the link to company characteristics. Reward teams for cross-functional metrics. Focus functional metrics to improving reliability. What did we find?
An efficient supply chain strategy is one that takes every aspect of your supply chain into account, from inventory management and warehouse design to freight tendering and transport optimisation. Inventory Management The key starting point is implementing proper ABC analysis, and you need to look at it from multiple angles.
However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”
Companies have data lakes, but do not use their own data. I don’t understand why companies want to move data in and out of data jails that we call relational databases but are so unaware of the techniques to use data from data lakes through schema on read technology approaches. technologies.
I questioned in this time of uncertainty if supply chain leaders will value data-driven content. We talk about the move from functional metrics to a balanced scorecard, but we don’t use a balanced scorecard as an objective function. We speak of data latency, but do not measure the impact on performance.
These platforms can dynamically adjust the difficulty of tasks, provide targeted resources, and suggest personalized learning paths based on real-time performance data. Developing Analytical Skills Data analysis is at the heart of effective supply chain management.
A disruption at any point in the global logistics network including the average of 12 touch points from shipment packaging to final delivery can prove disastrous for profits, service levels, customer loyalty, and other key metrics. With the global e-commerce market predicted to reach $8.1 billion to $23.07
How are companies rethinking their liquidity management strategies in response to the recent degradation across major working capital metrics? In the wake of economic uncertainty, many companies have experienced a degradation in key working capital metrics.
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?
Supply chain resilience refers to planning for things that could go wrong and then creating inventory buffers or contingency plans. SCP solutions provide a solid ROI based on hitting targeted service levels with less raw material, work-in-process, or finished goods inventory. This downstream data allows for better demand sensing.
That’s where manufacturing inventory management software comes in. In this ultimate guide, we’ll break down everything you need to know about manufacturing inventory management software. Its your single source of truth for inventory, constantly updated and readily available.
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