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Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction.
Companies leaning heavily on global sourcing? Theyre feeling the heat most, as sudden trade policy curveballs throw procurement plans into chaos. manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. What Is Agile Procurement?
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. When a procurement contract is negotiated, the buyer has planned to achieve a certain level of savings.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? The history of this research effort with Georgia Tech ISYE uses Y-Chart data. You are right. The answer is not th e Gartner Top 25. Your next step?
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. They sell to the automotive, data communications, medical, industrial, consumer electronics, and other industries.
Planners are uniquely positioned with an end-to-end focus, from procurement of materials, through manufacturing and engineering, to the movement, storage, and delivery of finished products or services. Supply chain professionals use various tools, including supply chain modeling, inventory management, and forecasting.
Once upon a time, the world of manufacturing was a relatively stable place. Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy. So how does a manufacturer navigate this rollercoaster?
(TSX: KXS) an end-to-end supply chain orchestration, today announced a new partnership that will deliver improved alignment of supply chain plans with business objectives and strategies for midmarket discrete manufacturing companies. Were thrilled to partner with Infor to help manufacturers be more agile and resilient in the long term.
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. The platform collects data and makes sure the master data is internally consistent. You manufacture stuff.
This is amplified across the supply chain into an exponential impact on inventory and planned orders for manufacturing. When we measure the bullwhip impact (in my class on outside-in process thinking), the bullwhip between manufacturing and procurement is 2-3X. Inventory Health. Measure inventory health.
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.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. Procurement is another area seeing change.
A data-driven, technology-enabled approach is required to build resilience and efficiency. Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. Walmart is also implementing AI-driven logistics and procurement.
Procurement and supply chain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.
That’s the power of manufacturingdata collection. Data transforms operations. Manufacturingdata 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 manufacturingdata.
Running a manufacturing business isn’t easy. You’re juggling production schedules, managing inventory, keeping an eye on finances, and making sure everything runs smoothly on the shop floor. That’s where a manufacturing ERP comes in. It’s a lot to handle. Let’s get started.
Automotive: Can JIT manufacturing survive legal disruptions to tariff policy? Automakers must model dual-path sourcing strategies and reintroduce buffer inventory—not just for parts, but for regulatory flexibility. Every major industry now faces a unique supply chain challenge. But failing to seek alternatives is also risky.
In an era where the threat of supply chain disruptions is constant, reshoring manufacturing has become a strategic imperative for manufacturers worldwide. Additionally, the desire to shorten supply chains and improve responsiveness to customer demands is encouraging more manufacturers to explore reshoring.
” At that time, the sales organization used more point-of-sale data than their competitors, they had an impressive and innovative IT team, and their supply chain processes were what I considered best-in-class. As a result, 80% of the data surrounding the supply chain is never used. Over time, as I watched, this changed.
While executive support for purchasing SCP has waned, future sales of supply planning are still linked to a suppliers ability to support agile planning. They also cover supplier-managed inventory, quality collaboration, manufacturing line collaboration, and asset collaboration.
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.)
Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization. Enhancing Inventory with Probabilistic Forecasting A supply chain is a complex ecosystem influenced by dynamic variables. The result?
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.
By maximizing space utilization, improving inventory control , and boosting workflow efficiency, you can unlock significant cost savings and elevate your customer service game. Essential technology solutions, including Warehouse Management Systems (WMS), Inventory Management Systems (IMS), and the transformative power of IoT and automation.
Scaling manufacturing operations is crucial for business growth but presents unique challenges. Balancing increased demand with consistent quality and controlled costs is difficult but essential for manufacturers looking to expand. Successfully scaling manufacturing requires more than just adding resources.
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.
If you’re evaluating procurement technology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. Misaligned priorities across finance, legal, and procurement create friction that delays decision-making and reduces impact.
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).
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.
How should a global manufacturer make a decision? In other studies, I am working with data scientists and statisticians to glean insights from over sixty quantitative research projects over the last decade. In short, the research tells me that the manufacturing industries are stuck. What is the role of make, source, and deliver?
Bowman, SupplyChainBrain In the rush to adjust sourcing strategies in line with current trends in international trade, the answer might be to think small. manufacturers have spent the last few decades consolidating production at gigantic offshore plants, especially in China. Enter the concept of the “microfactory.”
Drip Big Data. To use optimization, the data had to be cleaned and stored in pristine condition in a data jail (rows and columns of traditional database technologies). The good news is that in the last year, Kinaxis, OMP, and O9 have fundamentally changed their architectures to use semi-structured data. Industry 4.0.
They emphasized being an Industry Cloud Complete Company with industry-specific solutions for over 2000 micro verticals across Process Manufacturing, Distribution, Service Industries, and Discrete Manufacturing. Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more.
It brings data that is stored in different silos across an organization all into one model. With the advent of true “single source of truth” inventory visibility , a digital twin is a more feasible goal than ever before. Digital Twin Applications For instance, say you’re a manufacturer or distributor.
Let’s take a closer look at how four key industries—automotive, consumer packaged goods (CPG), high tech, and industrial manufacturing—are navigating the tariff rollercoaster and adjusting to the shifting landscape. Key takeaway Top challenge: Sourcing volatility driven by EV component shortages and fluctuating global tariffs.
Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. Final Thought 💡 In today’s competitive FMCG landscape, your RTM and distributor management strategy must be consumer-centric, data-driven, and partnership-oriented.
Manufacturers have started implementing features of the Fourth Industrial Revolution (4IR) to be more flexible and responsive and make more intelligent, data-driven decisions. Manufacturing can not only use IoT for manufacturing, but also to give inventory management greater flexibility and improve decision-making.
Robotic Process Automation Deployment According to the APQC data, organizations are exploring Robotic Process Automation across a number of supply chain areas, including supply chain planning, sourcing and procurement, logistics and warehousing, and manufacturing.
… Additionally, data visualization allows companies to drill down into the variances and see where to make adjustments. They write, “This includes tackling bigger issues such as compliance, supplier relationship management, risk and disruption, responsible sourcing, and transparency. ” Inventory optimization.
GEP and the North Carolina State University (NCSU) Supply Chain Resource Cooperative surveyed supply chain, procurement and IT professionals across a range of industries to gain insight into their priorities and strategies regarding supply chain resilience and optimization. Alex Zhong, Director Product Marketing at GEP.
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