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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.
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. That may sound impossible, but new technology places this capability within the reach of every organization.
Small companies outperform large companies, and the marquee customers of major supply chain planning technology providers underperform. The issue is that when companies optimize functional metrics, they throw the supply chain out of balance and sub-optimize value. This shift improves modeling options and the use of disparate data.
Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts. Critical practices include: Circular Supply Chains: Designing systems that minimize waste and emphasize recycling and reuse. Advanced route optimization tools further support these goals.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
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?
Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Reducing carbon emissions is a cornerstone of this effort.
If there’s a bright spot anywhere it’s the fact that, as logistics challenges have grown, so has the availability of advanced technologies to manage these challenges. For logistics teams, digital control towers add maximum value when they’re integrated with the transportation management system (TMS). Warehouse Task Automation.
This year’s conference brought together industry leaders, tech pioneers, and retail professionals to address challenges and opportunities, to explore technologies and strategies that promise to revolutionize the industry. Agent AI is emerging as a game-changing tool for understanding and responding to customer behavior in real-time.
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By combining leadership and technology, I believed that we had the opportunity to create a better supply chain. The gap is the result of the stewpot of corporate politics, misguided consultants, and over-hyped technologies. When compared to pre-recession years, we ended the decade with twenty more days of inventory. I was wrong.
I asked if he had tested the models by backcasting. The organization had little energy to test forecasting models. As a result, the project implemented by KPMG was primarily a technology implementation. The software was never tested. He then said, “Our technology is tough to use. He shrugged his shoulders.
To keep customers like my dad satisfied, RGD and Quick-commerce companies need to invest in new technologies to optimize the supply chain and logistics operations. These technologies are often invisible to the end-user but make a big difference in keeping the promises about product availability, freshness, and speed of delivery.
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.
Leaders design a response based on the business model. The supply chain is complex non-linear system that is easily thrown out of balance through a focus on functional metrics. When we look at public companies at the intersection of operating margin and inventory turns or growth and Return on Invested Capital.
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of revenue on information technology (IT), only six percent of manufacturers drove performance at the intersection of growth and margin. Rise in Inventories. Less Effective at Inventory Management. Inventories grew twenty days over the decade. Sadly, most of it is the wrong inventory. Despite spending 1.1%
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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. Eight proven optimization strategies, combining technology, best practices, and sustainable solutions.
Definition As I follow the evolution of supply chain technology, I am struck by what I see as a stream of paradox and anomaly, and the tendency of supply chain leaders to cling to convention. technologies. The world of NoSQL unified data models is inconceivable to most. I constantly ask myself, why? Art of the Possible.
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The supply chain is a complex non-linear system. 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.) My answer is no.
No company in either the household non-durable (consumer goods) or the food manufacturing group beat their peer group on the balanced scorecard of growth, inventory turns, operating margin, and Return on Invested Capital (ROIC) for 2013-2022. My reply to my friend is that “The supply chain is a complex non-linear system.
Driving an excellent supply chain depends on how people are recruited and managed, processes, and the technology used. In the annual report where they report on their key performance indicators (KPIs), they don’t just report on core financial metrics and the NPS, they also have people metrics. The company recorded 1.9
In healthcare, efficient inventory management is paramount to patient safety. Modern medical inventorysoftware offers a transformative solution, moving beyond outdated methods like spreadsheets and manual counts to provide real-time visibility and automated alerts.
Today’s article comes from Matt Boland at Koerber Supply Chain, and examines how technology can help improve on time in (OTIF) performance. Ultimately it allows the measurement of a business’ ability to deliver on their promise while capturing the highest gross margin on their inventory investment.
What is the Perfect Delivery Metric? Improving on this metric will always involve a focus on people and processes, but often also includes implementing new, more robust, supply chain applications. The wrong metrics drive suboptimal behaviors and metrics can often be manipulated.
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.
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Management practices such as lean manufacturing and just-in-time inventory management, along with globalization, have made tremendous impact on cost and service, but have accentuated risk. Metrics such as lead-times, forecast accuracy, inventory levels, and service are used to measure operational risks.
The key areas to consider when upgrading to the cloud include: The Value of Cloud Technology Cost Competitiveness Performance Expectations Upgrades Responsiveness Support Expertise & Response The Value of Cloud Technology Which business drivers and advantages are motivating companies to shift to the cloud?
The second step is usually a large implementation of a technology project–Enterprise Resource Planning, Customer Relationship Planning or Analytics. The first evolution of technologies were built by best-of-breed solution vendors. This new solution was favored by the Information Technology (IT) organization.
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.
” The next call was with a technology provider. In traditional advanced planning applications (APS) for a manufacturing company, the forecasting model’s role is to generate a time-series forecast in the tactical horizon (outside of lead time). (An Models Matter. Technologymodeling capabilities are changing.
There are supply chain and demand analytics models that describe the type of analytics being deployed (e.g., Now Gartner has created a different look at the issue by creating a five-stage maturity model for assessing the overall maturity level of your organization in using supply chain analytics. descriptive, prescriptive, etc.).
That’s why it’s essential to be sure you’re equipping your organization with the right demand planning software. Here are our answers to some of the most common questions about demand planning software. What is demand planning software? What are the benefits of demand planning software?
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. AI in procurement refers to using advanced technologies to make procurement processes faster, more efficient, and data-driven. Today, procurement is undergoing a transformation.
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 focus is “How can I make better decisions using insights from planning technologies?”
The obvious danger of this is that business rules and data governance often don’t exist from department to department or user to user, leaving an overall picture into the health of the business that is foggy because KPIs and metrics do not correlate across the organization. A great example of this comes from a Logility customer.
However, AI’s inability to solve the very limited problem of ensuring that inventory is located in the right place in a warehouse suggests that planners don’t have to worry too much about job security. For fulfillment to be efficient, a warehouse needs the right inventory located in the right slots in a warehouse.
Inventories in the chemical industry are at record lows: a forerunner of bad days ahead. While we will recover quickly in retail (moving from painful shortages to a glut of inventory), the chemical industry–sitting four and five layers back in the supply chain–takes longer to recover. Retail shelves are increasingly empty.
More recently the technology has evolved to a point where such processes can be conducted at a faster cadence than a typical monthly cadence that was the norm. Strategic placement of inventory buffers to ensure sufficient ability to absorb shocks. Traditional inventory optimization implementations often assume fixed network and flows.
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