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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than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems.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.
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.
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.
Their copilot-style solution is known as Joule. 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.”
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.
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.
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.
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.
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.
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.
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 Warehouse Management System market nearly grew by $1 billion in 2024, following a robust four-year climb since the pandemic. With ongoing advancements in artificial intelligence and robotics, WMS solutions are broadening their capabilities.
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.
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.
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. Bakkalbasi states firmly. “We
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.
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.
Probabilistic forecasting is revolutionizing demand forecasting, supply planning, and inventory optimization by significantly improving forecast accuracy and decision-making across distribution networks. However, this approach ignores real purchasing behavior, such as customers buying complete sets of four tires. The result?
Advanced supply chain planning is being transformed by probabilistic forecasting , which revolutionizes demand forecasting, supply planning, and inventory optimization. Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities.
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.
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%.
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.
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. 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.
Building a software company is hard work. Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. Try to gain an understanding of how technological advancements can improve work. Yawn and walk on if the answer is i mproving demand error or reducing inventory levels.
Setting the Stage The National Retail Federation’s 2025 conference has unveiled a clear vision of retail’s future, where artificial intelligence, integrated planning solutions, and customer-centric approaches are reshaping the industry landscape. Here are the key insights we gathered firsthand at this year’s event.
Procuring transportation for freight is much different than any other procurement category. There are different tools, goals, and market dynamics. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters.
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.
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.
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?
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.
While the supply chain technology market lost its allure at the start of the last decade, it is now cool again. Leaders are starting to experiment with new technology approaches giving rise to new spending and interest by Venture Capitalists. The supply chain technology market is responding. Talent Demand. Figure 1.
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.
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. Also, the solutions lacked flexibility. Lessons Learned. The reason? Next Steps.
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.
It’s like having a magic wand that optimizes inventory levels, prevents shortages, and sharpens your demand forecasting—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.
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.
Keeping up with customer demands, managing inventory, and making sure everything runs smoothly — it’s a lot to handle. And if you’re still relying on outdated systems, it’s like trying to juggle with one hand tied behind your back. Mobile ERP software is transforming warehouses just like yours.
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. To find the best solution for your business, you need the “what” and the “why”.
Technology for All In a retail era dominated by e-commerce giants, customer expectations have shifted towards instant product delivery at no cost. To meet these demands and ensure superior delivery experiences, retailers and carriers must leverage last-mile delivery technology.
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.
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.
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