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I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
Enterprise procurement leaders are under more pressure than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems. AI, automation, and generative tools are redefining efficiency, allowing procurement teams to move from reactive to proactive decision-making.
However, as carbon taxes and emissions reporting requirements continue increasing, supply chain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Sustainability is high on the list of favorite corporate buzzwords.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demandforecasting, supply planning, and inventory optimization.
In the fast-paced world of modern supply chains, traditional forecasting methods fall short. Probabilistic forecasting is revolutionizing demandforecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks.
While SAP has had procurementanalytics solutions, last year at Spend Connect Live, SAP announced the Spend Control Tower. Daniel Chapman, the senior director of process transformation for procure to pay at Warner Music, was a keynote speaker. It is a brilliant tool.” The Warner Music Group was an early adopter.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Sudden and significant changes in demand, especially in consumer markets, stack up more challenges, requiring order revision and reallocation.
Machine learning (ML)a specialized field within artificial intelligence (AI)is revolutionizing demand planning and supply chain management. According to McKinsey , organizations implementing AI-driven demandforecasting solutions can reduce forecast errors by 30% to 50%.
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. We are a platform. Forecasting is not an actionable item.”
As supply chains become more interconnected and risks more dynamic, traditional procurementtools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. This refers to AI systems that act with autonomy and are programmed to accomplish specific goals.
As supply chains become more interconnected and risks more dynamic, traditional procurementtools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. This refers to AI systems that act with autonomy and are programmed to accomplish specific goals.
Enterprise procurement teams face growing pressure to deliver strategic value – managing supplier risk, ensuring compliance, and supporting sustainability – all without sacrificing speed or control. This blog explores the most common challenges in digital procurement and the capabilities that matter most.
The logistics and supply chain industry is a critical component of global trade, responsible for moving goods and materials efficiently to meet consumer and business demands. Businesses face heightened uncertainty in managing costs and securing stable energy supplies. Advanced route optimization tools further support these goals.
In this type of environment, traditional procurementsoftware and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Key Takeaways Understand the potential impact of AI – including Generative AI & AI Agents – in 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.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. Thats why modern BI systems are quickly becoming the go-to solution for data-driven enterprises. They integrate, align, and activate data across the business to drive better, faster decisions unlike legacy reportingtools that can’t.
If you’re evaluating procurementtechnology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. But when spend is scattered across systems, business units, and suppliers, finding those insights is easier said than done.
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.
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?
For most CPOs and CFOs, deciding on the right purchasing setup — centralized or decentralized — is no small task. Each model has its perks, and choosing the best fit can feel like walking a tightrope. Keep reading to learn: What is centralized purchasing? What is centralized purchasing?
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. Today, procurement is undergoing a transformation. While procurement teams have long worked to add strategic value, Artificial Intelligence (AI) amplifies their impact.
She wrote, “I have been working in the supply chain for 35 years, and we are still trying to solve the “demand” issue. Given your expertise, I’d love to hear what alternatives you recommend for better demandforecasting and real-time visibility beyond what’s commonly adopted today.” The reason?
We need planning platforms to keep up with all the changes. This means we need more agile, flexible, and scalable planning platforms to process and consolidate new data sources, drive insights using advanced analytics such as AI/ML to drive autonomous decisions, and expand collaboration within and outside our organizations.
One of the industry’s biggest concerns is how to digitise and transform quickly, without starting from scratch and having to throw away your enormous investment in traditional systems. The good news is that you don’t have to—even if you have hundreds of legacy systems and ERP instances across your company.
Located in the United Kingdom (UK), he has more than twelve years of experience in progressive roles driving demand-drive projects for their global supply chain. At the Supply Chain insights Global Summit , Nick shared his story on driving demand-based improvements. Components of a Demand-Driven Journey. Nick does this well.
During the summer months, in one sector the demand for sun cream explodes while in another, it’s the demand for mineral water. Everyone is familiar with such seasonal demands. When a photo of an important influencer wearing a specific outfit, glasses or jewelry goes online, demand for the item may spike.
It’s like having a magic wand that optimizes inventory levels, prevents shortages, and sharpens your demandforecasting—all from your smartphone. Mobile inventory management is a digital solution that combines a mobile inventory app with cloud-based software to track, manage, and optimize inventory in real-time.
Technology can change or even improve work. In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. We still plan like it is 1999–when we were bracing for Y2k–versus using new forms of technology to improve planning. What’s missing?
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.
If you were tasked with procuring the best supply chain IT system, what would you look for? ERP, APS, SCM Systems Explained Organisations often use these systems together because each serves a distinct but complementary purpose. Think of it managing things like purchase orders, invoices, and inventory records.
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
Good forecasting leads to good demand planning —and good demand planning means better profitability. 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.
Demandforecasting plays a crucial role in business success, as it helps predict customer demand and plan inventory effectively. However, traditional forecasting methods often fall short in accuracy. With the advent of artificial intelligence, demandforecasting has undergone a significant transformation.”
As more consumers flock to e-commerce, purchasing big & bulky goods such as furniture, appliances, and wholesale electronics online is becoming more common. The trend of purchasing big & bulky items online will continue to grow, with Statista predicting 35% of furniture sales worldwide will be made online by 2025.
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.
In a previous post , I made a case for how the Chief Supply Chain Officer (CSCO) and Chief Procurement Officer (CPO) are smarter together. Accordingly Supply Chain and Procurement will need continuous collaboration. By aligning supply chain and procurement, spend can be considered more holistically.
The latest study highlights opportunities for businesses to strengthen resilience with artificial intelligence (AI)-driven demand sensing to optimize inventory, realize more value from planning investments, and better serve clients during disruptions of any size. Orlando, FL – October 2, 2024 – E2open Parent Holdings, Inc.
Machine Learning for demandforecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Greed for more data.
While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. I forecast that this interest will grow and the market is going to become more confusing. Leaders are starting to experiment with new technology approaches giving rise to new spending and interest by Venture Capitalists.
CAGR , the global supply chain management software market is expected to touch USD 50 billion by 2032. This one figure speaks volumes about how organizations worldwide want access to the best supply chain management tools to boost efficiency and value in their distribution and logistics network. Growing at an overwhelming rate of 11.1%
Warehouse optimization isn’t just a buzzword; it’s a lifeline for businesses seeking to thrive in the demanding world of modern commerce. 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.
The Failure of Existing Demand Planning Solutions. During the pandemic, supply chain leaders turned off their demand planning solutions. The systems–based on shipment and order data–were out of step with the market. Next Steps: Start to modeldemand based on market data to align the organization on baseline demand.
Experts from North Carolina State University and GEP conducted a survey on supply chain, procurement and IT leaders to determine their challenges and priorities, focusing on examining gaps in the supply chain. The study found that these leaders considered the largest gap to be between supply chain and procurement, citing it as a major issue.
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