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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.
Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. To build an outside-in model, and use new forms of analytics, we must start the discussion with the question of, “what drives value?” My advice? The reason?
Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventoryoptimization 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.
If so, optimizing your inventory management strategy can be a game-changer. This method offers a solution to various inventory and shipping challenges for businesses just like yours. Below, we outline three ways blind shipping can help optimize your logistics, keep inventories healthy and save you money!
Venture capitalists are high on Artificial Intelligence (AI), and over-exuberant professors with shiny new models are jockeying into position to get rich. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. Building a software company is hard work. Ask for use cases.
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. IT View of the Current State of Inventory. Five Reasons.
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. The Salesforce.com model is primarily a pipeline management tool suitable for discrete markets but not process manufacturers. Will this change the market?
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
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.
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.
I am currently doing research on inventory management. In the research, I ask inventory planners to define resilience. Of the twenty companies interviewed, only one can answer the question, “Do you have a good inventory plan?” No technology in the market measures inventory health. Today, this is not the case.
In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. The concept was that managing trade-offs and optimizing the whole to drive business outcomes would improve value. The ripple effects are pervasive. The reason?
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. The distribution models were never tested when implemented. The reason? Just ask Anna.
In the process, there is a fine line between marketing hype and overpromising, making buying difficult. On the website, there is no definition, but the implementations focus on a deeper optimization using traditional APS taxonomies in a Graph database. Yet, the models depict traditional supply chain software deployments.
In the warehouse context, a digital twin can be created to represent the physical layout, inventory, equipment, and workflows of a warehouse. Simulation allows you to model hypothetical scenarios and physical changes without having to physically change the asset. Physical change (i.e.,
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.
Reason #4 Making key decisions by modelling the supply chain in Excel. Reason #6 Not effectively managing inventory. I lost track of how many carrots we had and ended up buying more when we really didn’t need any. Unfortunately, all the same kinds of things can happen to your supply chain inventory. Getting easier.
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). Or a unified data model across source, make, and deliver for planning?
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.
Millions of shoppers, like my Dad, are not going back to their old habits because there are now faster and more convenient ways for buying daily household needs. It excels on a union of E-Commerce mobile apps and last-mile delivery innovations. InventoryOptimization. Supply Chain Digitalization & Autonomous Planning.
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. each with discrete plans generated typically in sequential batch runs.
Optimization engines to improve functional metric performance resulted in an exploding number of planners. Rolling up a perpetual inventory signal takes eleven hours. days to get a perpetual inventory signal and 2.2 days to receive a purchase order confirmation. The average purchased order changes 3.5
The promise was the delivery of a decision support system that would allow the organization to optimize the relationships between cash, cost and customer service against the strategy. By purchasing planning and transactional systems for a common vendor, they had one throat to choke and they were familiar with the architectural elements.
It was a story where people believed that functional excellence leads to supply chain superiority. I strongly feel that a blind focus on functional excellence will cause the supply chain to become out of balance. For most companies, the use of supply chains to redefine business models is not a current reality. You got it!
<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.
It was called multi-enterprise inventoryoptimization. In the beginning, the inventory management solutions of LogicTools , Optiant and SmartOps pushed to take operations research to a new level through supply chain optimization. SmartOps was purchased by SAP. Today, I write the epitaph for this market.
From harvest to hands, the food & beverage (F&B) industry leaves no room for guesswork, especially without supply chain optimization software. This reality is compelling F&B companies to rethink their strategies and approach to supply chain optimization and demand planning.
But companies often have diverging incentives and interests from their supply chain partners, so when they independently strive to optimize their individual objectives, the expected result can be compromised. ”. However, no company in this chart is on a linear path towards improving both margin and inventory turns. What can we learn?
As companies across industries have discovered, a well-optimized supply chain can drive significant improvements throughout their operations. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times. Technology integration: Leveraging digital tools to enhance visibility and decision-making.
We spoke with David Mackenzie , Transformation & Inventory Director at BT, to learn more about this shift and the role AIMMS has played in enabling it. The other part of my role is supporting the inventory management functions within BT Group, driving decision-making around what we buy, when we buy, and where from.
So why do we feature content related to Vendor Managed Inventory? In a VMI model, part of the equation is the inbound & outbound flow of the inventory. Inventory is then put on pallets and shipped as freight. So, I hope the next article explains the evolved VMI model.” No Purchase Orders were used.
When it comes to the management of inventory in value chains, frustration abounds. Executive, after executive, lament, “They have purchased many technologies and sponsored many projects to reduce inventories, but they are not seeing results.” Inventory is the culmination of many business decisions.
We were discussing the results of the planning benchmarking work that we have just finished, and I was sharing some insights on inventory management when one of the panelists emphatically stated, “Inventory is a waste to manage. We feel so strongly about this that we do not have an inventory planning role.”
Running optimizers frequently introduce noise and error into a complex system. and from a series of labor-intensive meetings that delay decisions to powerful insights for modeling.) In today’s processes, we move data into jails (relational databases) and then run optimizers. Adaptive Model Redefinition Through Learning.
Demand volatility and forecasting complexity The shift to cloud-based environments and the rise of XaaS models are significantly complicating demand forecasting. Inaccurate forecasts lead to either excess inventory or stockouts, causing increased costs, an abundance of stock that cannot be sold, lost sales and customer dissatisfaction.
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. Optimizing production is essential to addressing these challenges.
Pricing Structure Affordable pricing, with annual access to purchased courses and practical resources through Pro Plan. This learning platform covers every angle of supply chain management, from demand planning and inventory management to supplier relationship management, procurement, and logistics.
Below I will outline how a vendor managed inventorymodel, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. Vendor Managed InventoryModel for Supply Chain Cost Reductions. The distributor maintains the inventory plan. What is Reverse Marketing?
As an analyst in the supply chain market for 15 years, I have written many articles on best-of-breed technology companies purchased by a larger company. In 2007-2014 Terra added inventory management, multi-tier demand sensing, transportation forecasting, and long-term forecasting. The Company has a checkered past.
With the purchase of i2 by JDA, and Logictools by IBM, manufacturing companies serious about network design started looking for a company, with a well-established community, that was more serious about network design. It could no longer be just about inventory levels. Instead, the design needed to be more encompassing.
Organizations then convert those demand forecasts to the associated quantities of raw materials to purchase, goods to be manufactured, or finished products to ship. As demand forecasting accuracy increases, and the standard deviation associated with the forecast decreases, the need to hold “just in case” inventory also goes down.
From the most basic to the most advanced organization, InventoryOptimization is a critical goal and one which underpins the effectiveness of the supply chain operation. InventoryOptimization requires an organization to sustain and maintain the right mix of cost versus service.
Managing spare parts inventory has always been a delicate balancing actexcess inventory ties up capital, while shortages risk costly downtime and production delays. Thats why a growing number of organizations are turning to AI software for spare parts inventory management. What is Spare Parts Inventory Management?
Today, their functionality has increased, and businesses are leveraging CRM systems for demand forecasting, buyer behavior analysis, and more intelligent inventory management. Enhance Inventory Management A combined CRM-Shopify platform provides past sales data, allowing procurement teams to make informed purchasing decisions.
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