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She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Solving from a supply side seems to work for many companies I work with. Over the last two years, I actively engaged technologists and business leaders to redefine demandplanning.
(The planning team was defending the status quo without questioning current practices and how to improve them.) The question was, “How can I redefine demandplanning processes to use channel data?” Their question was, “Why were consumer products companies not using retail data to drive demand processes?”
Balancing forecast accuracy with inventory management gets more challenging every day. Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. These approaches help companies improve short-term, mid-term, and long-term planning.
Let me start by saying that t he process is not a panacea to solve all supply chain ills. For most companies, building a great S&OP process is a missed opportunity. For me, there are ten characteristics that define a great S&OP process: Clear and Actionable. S&OP is a business process.
Managing disruption of any kind has become the #1 priority in supply chain operations. But, as leaders know, adapting to change is rarely a simple task and requires a fresh look at existing processes in planning and sourcing, inventory management, warehousing & distribution, and more. Download your copy today!
While the terminology evolved, the underlying thesis of S&OP has stayed the same, i.e., bridge the divide between sales forecasts and operational plans while respecting the budget. Then the process was put to test in recent times, as increasing demand and supply side shocks caught companies flatfooted.
My last post on the Supply Chain Shaman blog was forty-five days ago. My first focus was on China sourcing. Then it was the redefinition of the supply chain for the global shutdowns Sick with the virus; I spent my energies writing and moderating podcasts. As we moved into our new roles, for all supply chains, demand shifted.
For the first in seven years, I was not heads-down preparing for The Supply Chain Insights Global Summit. During this pandemic, sensing market changes, using data, and driving decisions at the speed of business matters more than ever. Tarif issues on Canadian spruce lumber complicate the surge in demand for the building surge.
During the pandemic, demand fell, and it was now available. However, supply chain leaders well understand that drug discovery, manufacturing, and distribution are all necessary to deliver the vaccine to a willing arm. Development and distribution, as any supply chain leader knows, are two different topics. None called.
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. ” Let’s face it all supply chains have error.
This is more evident in supply chain, where time-tested methods are being replaced with new ones. The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP). The groundbreaking technology is transforming how companies manage sales and operations planning (S&OP).
It has led supply chain vendors to discuss how they currently use artificial intelligence. Further, virtually every supplier of supply chain solutions is eager to explain the ongoing investments they are making in artificial intelligence. AI is not a new technology in the supply chain realm; it has been used in some cases for decades.
Distribution industry supply chains have always been squeezed between manufacturers and their customers; facing increased competitive threats, escalating SKU counts, and expanding ecommerce. Smart planning alleviates risk of distribution supply uncertainty. Accurate forecasting of uncertain demand. Right-sizing inventory.
But then, supply chain disruption became the rule instead of the exception, consumers changed their tastes as often as their socks, and global competition started playing hardball. Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy.
Supply chains large and small are under siege by constant supply chain disruption. Companies find themselves struggling to serve customers, source materials, manage costs, handle supply constraints and shortages and, above all, gain visibility into what’s next. Thanks to technology, however, the headlines aren’t all bad.
When the pandemic started in 2020, no one could foresee the impacts of the global supply chain disturbances would last this long. Now the new norm is constant change, and agility is the name of the game when it comes to supply chain planning. Critical inventory disruptions/deficiency anywhere in the supply chain.
Michael Burry’s tweet stated that the supply glut at retail is a result of the Bullwhip Effect and that there will be deflationary pulses from this. As a supply chain analyst and an economics enthusiast, I was curious to learn more. Here’s my take on the topic. Retailers’ Inventories – Just Keep your Returns?
The basic frame of supply chain planning–functional taxonomies for optimization on a relational database–must be redesigned before supply chain leaders can reap the benefit of deep learning, neural networks, and evolving forms of Artificial Intelligence (AI). Let’s start with a basic definition.
Today, I speak at the North American Manufacturing Association, Manufacturing Leadership Conference, in Nashville on the use of data to improve supply chain resilience. Background The Council of Supply Chain Resilience met for the first time this month. Let’s start the beginning. What is supply chain resilience?
Many large enterprises use one form or another of a supply chain application to help manage their supply chains. Supply chain vendors have been touting their investments in artificial intelligence (AI) for the last several years. DemandPlanning Models Really Can Learn.
IBP is a collaborative process involving diverse business functions that is designed to balance demand against supply in a manner that maximizes the goals of that company. This is, at many companies, a month-long process that produces a supply chain plan that spans out over several months – often 24 or 36 months.
Lizet Tymon, the senior supply chain management director at Jabil. Lizet Tymon, the senior supply chain management director at Jabil, has an interesting story to tell about how she advanced from being one of hundreds of managers at Jabil to being a senior director at this Fortune 500 company. Sometimes, Jabil helps design the products.
Some of the world’s biggest retailers and their partners are once again feeling the sting of “ the bullwhip effect ” – a term of art amongst supply chain professionals that describes how changes in demand at the retail level can reverberate and amplify issues throughout the supply chain. Complete visibility into inventory.
Great to conceptualize potential use cases, but not today’s reality. We have this today in most supply chain planning solutions. I don’t think that the answer is faster planning or better engines. The problem with supply chain planning is that it is, by definition, not repetitive work.
Waves of hype pass through supply chain narratives. and digital supply chains. and digital supply chains. I could write a blog about each story, but let’s save that for coffee.) (I could write a blog about each story, but let’s save that for coffee.) Thought leaders push concepts.
In Figure 1, I share a supply chain planning taxonomy or what I lovingly term an old-fashioned jalopy. Few companies design their supply chains (research data shows that 9% of companies actively design their supply chains), and few planning systems actively analyze and drive answers to the questions: Do I have a good plan?
It’s taking a profound humanitarian and economic toll , impacting supply cha ins in many ways. Online g rocers , on the other hand, are struggling to fulfill orders as demand for food and other essential products surges. Adjusting Demand in Network Design Navigator. Demand Simulation in Network Design Navigator.
Before boarding the plane, I watched a traveler pull a diet Coke from the bin and thought about the struggle to source sweetener with the rise of COV-19. As I poured the dog food into the bowl for my pups, I wondered if I was going to have to switch kibble due to the looming issues of sourcing taurine—a health additive in many pet foods.
But many supply chain practitioners dont realize that the most common approach to supply chain planningusing a demand-driven forecast as the primary input to future planningis just as outdated. Companies that rely solely on deterministic models are struggling to keep up with demand fluctuations.
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. ” [link].
And how can supply chain planning help? My goal was to think harder about how to best implement Advanced Planning before I wrote my next post. In one project, I am interviewing over fifty supply chain leaders on their perceived impact of advanced planning, what makes a good plan, and how effectively they use the technology.
BOSTON – (August 25, 2022) ToolsGroup , a global leader in AI-driven retail and supply chain planning and optimization software, has been named a leader in the Quadrant Solutions SPARK Matrix™ for Global Supply Chain Inventory Optimization. for Global Supply Chain Inventory Optimization, 2022.
Note: Today’s post is part of our “ Editor’s Choice ” series where we highlight recent posts published by our sponsors that provide supply chain insights and advice. This article is from Michael Balint at Solvoyo and looks at the fresh produce supply chain. To read the article, click HERE.
That’s why staying on top of the latest supply chain planning trends is so important – they can make all the difference when it comes to staying competitive, reducing costs, and meeting your customers’ needs. Here are some highlights from these trends in 2023 and implications on supply chain planning.
Consumers are ever more conscious of value, sensitive to health and environmental issues – especially after the COVID pandemic, each demanding more options for their money. End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance.
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. acquired by SAP).
Supply chain is once again front-page news in the general business media. Meanwhile, supply shortages and price inflation are getting the front page in consumer-focused publications and plenty of airtime on televised news. I believe there are many reasons for the current supply shortages and supply chain disruptions.
When companies implement a demand management or replenishment system, the goal is usually to improve customer satisfaction while holding less inventory. The bulk business also involves filling the tanks of businesses that use propane as an energy source. The company hired a demand forecaster who had a background in forecasting.
Supply chain network design (SCND) is a powerful tool for improving business operations. It can be used to solve a wide variety of supply chain problems. Simulation techniques can fill those gaps and allow for a more holistic view of a company’s supply chain. Optimization and simulation are the two main branches of SCND.
If your company’ssupply chain survived 2020 and the disruptions of early 2021, it’s safe to say it has passed the supply chain resiliency test. Supply chain disruption has many sources: tariffs and trade disputes, natural disasters, pandemics, economic uncertainty and cybersecurity attacks.
Modern supply chains are far from linear. Such complexity drives demand volatility. This urges a shift from the unsustainable practice of buffering against uncertainty with high inventory levels. This urges a shift from the unsustainable practice of buffering against uncertainty with high inventory levels.
Amongst the issues faced by both businesses and consumers in 2021, supply chain shortages – and the resulting challenges – held strong in the headlines throughout the year. Five Lessons Learned Overcoming 2021’sSupply Chain Challenges. Five Lessons Learned Overcoming 2021’sSupply Chain Challenges.
A large multinational is undergoing an impressive supply chain transformation that will run through 2023. While the company has several different goals, two key focuses are improved agility and resilience, and more autonomous planning. A Complex Supply Chain. In some case they manage inventory at the customer’s site. “We
If this challenging past year has taught us one thing, it is the value of connections–not only in our lives, but in supply chains. Indeed, when customers contact us for planning support through our COVID-19 Action Center, they are usually grappling with similar supply chain disruptions–or disconnections. .
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