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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.
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.
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. It is a brilliant tool.” Those types of disagreements disappear in a SCCN platform.
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than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems.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.
Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.
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.
AI is reshaping the way organizations source, manage suppliers, and drive value today. 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.
AI is reshaping the way organizations source, manage suppliers, and drive value today. 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.
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.
Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded AnalyticsReport to discover new best practices. Brought to you by Logi Analytics.
A disruption at any point in the global logistics network including the average of 12 touch points from shipment packaging to final delivery can prove disastrous for profits, service levels, customer loyalty, and other key metrics. With the global e-commerce market predicted to reach $8.1 billion in 2023 to $13.3
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. Reducing dependency on fossil fuels can mitigate these risks and improve operational predictability.
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.
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.
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.
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 demand forecasting solutions can reduce forecast errors by 30% to 50%.
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.
As Procurement teams are tasked to do more with less in an increasingly complex and uncertain market, digitization has become a must. Procurement leaders have increasingly turned to Spend and Supplier Management platforms to improve decision-making, efficiency and collaboration.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. They need visibility across multiple internal systemslike ERP, CRM, and financial platformsand even external sources shared with suppliers, partners, and customers. But lets be clear: not all BI platforms are created equal. Why does that matter?
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 demand forecasting and real-time visibility beyond what’s commonly adopted today.” The reason?
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. Such sourcing events can be in the context of direct materials or logistics capacity.
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.
In a major advancement for global supply chain technology, project44 has launched Movement, a comprehensive Decision Intelligence Platform that transforms how businesses manage their supply chains. The platform is built on a four-layered framework: Connect, See, Act, Automate.
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. Supply chain was defined in 1982 as interoperability between source, make and deliver. What’s missing? The ripple effects are pervasive.
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.
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.
While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. The discipline, first defined in 1982, includes source, make, deliver, and planning functions. ” Companies know they have a problem with adopting new technologies, but they do not have clear answers on what to do next.
Companies became less clear on the definition of supply chain excellence and how to implement decision support technologies. The financial teams, and the Information Technology (IT) groups, did not see alignment gaps, but the supply chain teams felt them and viewed them as a critical performance issue. Functional Metrics.
It is crucial for organizations to understand the importance of Purchase Order collaboration to effectively manage their direct spend, optimize operations, and mitigate risks. From natural disasters to geopolitical tensions and the ongoing COVID-19 pandemic, supply chains have been significantly impacted.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. We needed to model the data in a way that we can do simple searching. Agentic allows for much greater flexibility. They must be.
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.) Was this by design?
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 today’s dynamic and unpredictable business environment, companies face various challenges such as changing consumer demands, global uncertainty, and the impact of natural and man-made events. This approach results in inefficiencies, higher costs, and missed opportunities.
Being listed on a last-mile-delivery service platform and reaching a much broader customer base beyond the neighbors became a must-have for survival. Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. This includes internal and external data sources.
Continuing Disruptions in Transportation and Sourcing Materials After the pandemic, retailers are faced with new challenges and disruptions due to global conflicts, trade restrictions, and now recessions. This means continuously assessing the trade-off between the total cost to serve and meeting customer demand and minimizing lost sales.
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.
ATLANTA – January 25, 2022 – According to PWC’s December 2021 Global Consumer Insights Pulse Survey , about half of respondents consciously consider factors related to sustainability when making purchasing decisions. Logility, Inc., Perform, review, monitor and submit corrective action plans regarding all aspects of social compliance.
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.
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment. Prescriptive analytics tells them what to do about it.
These passports document all aspects of the life cycle – from the sourcing of raw materials to final disposal or recycling. For businesses, DPPs are becoming essential to comply with best practice guidance as well as coming statutory regulations that demand transparency in supply chains.
Decoding the Procurement Department: A Comprehensive Guide to Roles and Responsibilities This supply chain article provides a comprehensive overview of the procurement department within an organization. Read In Detail About Procurement Department Here 2.
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