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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.
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.
Reason #7 Making decisions based on bad data (supply chain data accuracy). Reason #9 Relentless pursuit of one supply chain metric at the expense of other metrics. Imagine that your child brings home their report card and it’s a mix of good and fair grades. Why do companies focus on reducing a specific metric?
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.
The answer lies using these omnichannel supply chain metrics to carefully track and improve operations continuously. This is a simple key performance indicator (KPI), another name for metrics, to track. If vendors fall behind on this metric, you may need to re-evaluate your partnerships or expand your list of approved vendors.
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.
After finishing the Supply Chains to Admire report and the Youtube series (to be released this week), this is my feeling. In the review of my first book, Bricks Matter , Keith Harrison, former Global Director of Product Supply at P&G asked me, “You mention the need for supply chains to shift from a focus on cost to value.
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?
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.
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.
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.
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.
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.
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.
In general the ERP technology providers underperformed, and the investment was an opportunity cost to the adoption of new forms of analytics and building effective business networks. Less than 50% of the required data for supply chain planning comes from ERP. The Focus Inside-out Supported by Functional Metrics.
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.
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.
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.
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?
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.
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 landscape of public sector procurement has undergone significant transformation in recent years, driven by advancements in technology, evolving regulatory frameworks, and an increasing emphasis on sustainability. Predictiveanalytics powered by ML helps organizations anticipate procurement trends and identify potential risks.
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.
And perhaps most critically, a lack of real-time visibility into stock levels prevents informed decision-making about purchasing, production, and fulfillment. Real-time data synchronization allows multiple users to access updated inventory information simultaneously through secure cloud platforms.
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.
Top 3 Procurement Technologies to Embrace in 2025 Staying ahead of key procurement technology and advancements is essential for CPOs who want to improve spend cost reduction, drive strategic value, and navigate the increasingly complex procurement landscape.
Strong vendor relationships are critical for business success, especially when it comes to managing inventory and procurement. Vendor Relationship Management (VRM) helps businesses manage supplier interactions, track performance, and ensure smooth procurement processes.
However, two decades later, there is still no technology solution to enable demand visibility or help companies use channel data to translate demand into an inventory, replenishment, or manufacturing strategy. Why have we not improved our use of channel data in supply chain processes?” My question is, “Why?”
This blog explains The Key MRP Metrics in Supply Chain whcih every supply chain professional in Manufacturing or Distribution Businesses. The metrics that underpin MRP could be described as the balls in this juggling act. This article takes an in-depth look at the crucial metrics every supply chain professional needs to know.
For example, if an asset issue was detected, solving that issue could involve multiple applications used by multiple people, seeing different information, entering different data, bouncing emails and texts back and forth, and moving information from one place to another. We needed to model the data in a way that we can do simple searching.
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
According to McKinsey survey of global supply chain leaders , only 53% of respondents describe the quality of data in their supply chain planning systems as “sufficient” or “high.” ” Yet leaders with high-quality master data are 1.5x less likely to be affected by supply chain disruptions.
In today’s dynamic market, procurement is far more than just a buying and purchasing center. Our latest e-book, “ Is Manufacturing Missing Out On Procurement’s Value Add? Our latest e-book, “ Is Manufacturing Missing Out On Procurement’s Value Add? Here are some key insights from the e-book.
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.
Nowadays, no one could deny that, businesses today expect procurement teams to drive value beyond cost savings. As a consequence, procurement leaders are constantly looking for ways in order to enhance their procurement process and make it more sustainable. And so, they track an array of metrics such as KPIs.
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?
Rising costs, supply chain chaos, and economic swings put businesses under enormous pressure to protect their margins. According to McKinsey & Company, procurement accounts for 50% to 80% of a company’s cost base. That’s why organizations zero in on strategies to achieve procurementcost reduction.
In contrast, the demand organization that I am advocating is an analytics group that crosses over sales and marketing into supply. The group is cross-functional and serves the business by mining demand insights, sensing market patterns based on channel data, and recommends demand shaping programs based on analysis of revenue management.
The question was, “How can I redefine demand planning processes to use channel data?” They believed that retail data would help consumer products companies (which I agree with in concept) and that the retail forecast can be closely coupled–tightly integrated– to drive a better signal (which I disagree with).
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