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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.
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.
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.
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than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems.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.
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
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.
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
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.
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.
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.
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.
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.
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.
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%.
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.
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.
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.
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.
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.
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?
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.
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.
I asked companies to “Navigate through the hype focusing on the feasibility of scope and technology.” In the height of the e-commerce craze, the marketplace offerings started with a focus on e-procurement. At the time, the popular belief was that Enterprise Resource Planning (ERP) technologies would build multi-tier capabilities.
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.
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.
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.
The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. The first evolution of technologies were built by best-of-breed solution vendors. The first step in the journey is a kick-off meeting.
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.
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.
In fact, transportation management is our specialty as we’ve been providing our shipper customers with a web-based transportation management system and managed transportation services since 1998. Finally, as expected, technology and transportation management systems were also a popular subject. Read the Full Blog Post.
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.
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. No problem.
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.
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.
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.
This is why I host training twice a year to challenge existing technology paradigms. I see a preponderance of reports and white papers that have lots of pages but say little. He feels that based on his years of experience with a software provider, he has a whizzbang technology. The average purchased order changes 3.5
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 the work, I listen to existing processes to provide feedback, ideate with the team on potential improvement, share advice on the fit of technologies, and network leaders to leaders to gain additional insights. How aligned do you believe your organization is to drive these metrics? Instead, as an analyst, I work in an advisor role.
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. Analytics allows organizations to move beyond intuition.
Machine Learning for demand forecasting 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.
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