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To build an outside-in model, and use new forms of analytics, we must start the discussion with the question of, “what drives value?” ” Traditional planning models optimize functional processes to improve cost and customer service. You are right. This work was expensive.
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.
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. This blog is Part 1 in our Optimizing Supply Chain Performance with Unified Data series, with a focus on optimizing fulfillment.
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.
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. If a user makes changes to the plan, they log that data.
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.” The building of data listening platforms to enable teams to answer the questions that they did not know to ask.
As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. They can learn and improve over time, as they collect new data and feedback.
As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle. They can learn and improve over time, as they collect new data and feedback.
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.
In this type of environment, traditional procurement software 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.
Returns Management and Integration With 35% of online purchases being returned, predominantly to physical stores, retailers are grappling with the ripple effects on inventory management. Early adopters of these integrated platforms report significant improvements in inventory turnover and reduction in stockouts.
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.
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.
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 to $23.07
The systems–based on shipment and order data–were out of step with the market. With fixed models and hard-wired data feeds, teams could not adjust the planning systems to use consumption data or market indicators. Resist the temptation to place deeper analytics on top of existing datamodels.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence.
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.
Predictiveanalytics helps logistics companies anticipate disruptions and adapt proactively. Blockchain also facilitates collaboration by sharing verified data across stakeholders. These devices provide actionable data to improve fuel efficiency and reduce maintenance costs.
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?
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.
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.) Understanding this relationship requires modeling. (A A Case Study.
Chances are, if you’re in marketing, sales, or one of the more technical aspects of business, you’ve used predictiveanalytics in some part of your job. But your company doesn’t have to be a retail giant to use predictiveanalytics. You just need data, well-defined goals, and the willingness to iterate.
To entice you to participate let’s look at the data more closely. In the supply chain team analysis, note the 21% gap between procurement and manufacturing teams, the 35% gap between sales and operations and the 21% gap between finance and operations. Functional Metrics. To respond, follow this link.
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.
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.
Procuring transportation for freight is much different than any other procurement category. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters. Procurement ran a request for proposal event.
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 reporting tools that can’t.
Real-Time Social Listening Integration Traditional supply chain planning relies heavily on historical transactional data, which inherently delays responses to rapidly shifting customer preferences. The latest ML algorithms can detect subtle shifts in consumer sentiment that precede actual purchasing behavior changes by weeks or even months.
In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Some supply chain companies are leaning on the power of analytics to help streamline their processes and get ahead of their competitors. But the benefits far outweigh the challenges.
Introduction Gardner, (1954) and Huntzinger, (2007) define Purchase price variance (PPV) as a metric used to measure the effectiveness of cost-saving efforts by calculating the difference between the planned cost (standard pricing) allocated for purchasing activities and the actual cost incurred.
Procurement and Supply Chain Management are essential functions that can help companies navigate these challenges, but they are often siloed and operate in separate departments. Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services.
Pattern recognition is the ability to discern patterns in data and use the insights for further analysis. Wikipedia In 2014, I was exploring methods to publish what is now the Supply Chains To Admire report. The use of orbit charts allowed me to see the patterns of performance at the intersection of metrics over time.
In recent years, the overall state of Procurement has been bolstered by increased proficiency, expanding engagement, and a growing direct impact on operations. And they’re not the only ones—other department heads are also increasingly budget-conscious, creating a new opportunity to partner with procurement for better budget management.
I see a preponderance of reports and white papers that have lots of pages but say little. Optimization engines to improve functional metric performance resulted in an exploding number of planners. The issue is data synchronization. The more outsourcing and instances, the greater the issue with data synchronization.
quintillion bytes of data every day. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. Cluster analysis is a statistical umbrella term for methods that classify data points according to their attributes. The retail industry is rich with data.
This shift has pushed supply chain leadership to pivot from reactive management to proactive strategy built on data. In this environment, business leaders need clear, data-based insights to make real-time decisions. Analytics allows organizations to move beyond intuition.
Looking to improve operations and achieve cost savings within your procurement processes? Perhaps you already have a process audit report, or are interested in discovering how it could benefit you and streamline your operations. What is the Purpose of a Process Audit Report?
As an old gal, with over forty-years of supply chain experience, writing this report for ten years taught me many lessons. I find in the orbit chart analysis that 45% of companies in the report are unconsciously incompetent. The group’s response is, “Are these supply chain metrics?” I admit it. The reason?
The consulting team pitches a theme–vision of supply chain best practices, big dataanalytics, or demand-driven value networks– to the executive team, and a new project is initiated. Leadership teams struggle with the trade-offs between cash, cost and customer service. Data surrounds the company.
Understanding how your Procurement and Supply Chain KPIs are performing isn’t just a nice-to-have; it’s essential for survival and growth. Is inventory bloating your costs? Too often, businesses operate on gut feel rather than hard data. Why You Need Visibility of Supply Chain and Procurement KPIs?
BOSTON, February 16, 2022 : ToolsGroup , a global leader in supply chain planning and optimization software, has partnered with Planalytics to integrate their weather-driven demand (WDD) analytics with ToolsGroup’s retail planning solutions, enabling customers to isolate, measure, and manage the influence of weather on their businesses.
The past few years have created a lasting impact on the way business is conducted, driving many companies to analytics to gain the visibility they need to control and optimize key processes. The Basics of Procurement KPIs. There must be a clearly defined data source with a standardized process for collecting and measuring that data.
In the realm of efficient procurement management, understanding the various types of procurementreports becomes paramount. These reports serve as navigational tools, offering insights into different facets of the procurement process.
I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter. E2open last week announced the purchase of Serus. This purchase increases E2open’s capabilities for visibility into the processes of the outsourced semiconductor network of foundries.
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