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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?” I observe that organizations are unclear on outcomes and the definition of supply chain excellence. The data outcome is open source and can be used to improve project outcomes.
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. Click here!
The key to this lies with sourcing. Before diving further, let us define what sourcing is. Sourcing is the practice of finding and selecting suppliers for a range of services (e.g., Traditional sourcing practices tend to be highly manual and are fraught with latencies and inefficiencies. Digitalizing sourcing (i.e.,
The latest ML algorithms can detect subtle shifts in consumer sentiment that precede actual purchasing behavior changes by weeks or even months. ML excels in these scenarios, quickly identifying and adapting to intricate seasonal patterns and trends that traditional statistical methods miss entirely.
Think of it as a single source of truth for everything from production planning and inventory management to financials, supply chain, and even the shop floor. JD Edwards EnterpriseOne: This platform specializes in discrete manufacturing , excelling in areas like shop floor control, quality management, and detailed product costing.
Today, supply chain excellence matters more than ever. The discipline, first defined in 1982, includes source, make, deliver, and planning functions. Until there are clear answers, business leaders should avoid buying software from companies with deep investments by venture capitalists. Kinaxis Purchase of Rubikloud.
Current Familiarity with Analytic Concepts (Fall 2022 Snapshot) Preamble Supply chain leaders love their rows and columns. Like Linus clinging to his blanket, supply chain teams make most of their decisions on Excel spreadsheets. Or a unified data model across source, make, and deliver for planning? The So What And Who Cares?
In our recent survey on analytics, today 74% of companies are attempting to improve supply chain visibility (as shown in Figure 1). Too few companies have a holistic approach to embrace the plan, make, source, and deliver together. As I read today’s news, I often think of the sessions with Greg and laugh. What Is Visibility?
There will be little relief in 2022 unless the factors driving the increased import volumes—a strong economy and the fundamental shift in consumer behavior to purchase more goods and less services—change. Near or re-shoring sourcing strategies will be evaluated to “shorten” supply chains and gain greater control of supply chain performance.
This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. The planning process should be automated, repeatable, and not dependent on Excel-based manipulation.
Dependency on Excel. Due to the shortfalls in the evolution of Advanced Planning, 68% of business users use Excel spreadsheets as the primary mechanism for planning. Excel–while widely used for planning–is not equal to the challenge of modeling complex supply chains. Don’t rush to buy. The result?
The issues are largely rooted in politics and the lack of clarity on supply chain excellence. Or planned orders to purchase orders?) Go to the source. This is despite the deployment of ERP, descriptive analytics, APS, SRM, and teams of data scientists working on their data lakes. And how do we measure it? (Is
This blog explores procurement vs supply chain strategy and looks at how aligning the two leads to operational excellence. Procurement professionals focus on sourcing goods and services, negotiating with suppliers, and managing contracts. Theyre still too often stuck in their own lanes. It doesnt have to be that way.
How do we harness the power of data with new forms of analytics? Today, technology providers are selling analytics. This week, I received this email from a financial institution questioning why business leaders are not harnessing more insights and redesigning processes based on analytics. S&OP Challenges. Reflection.
Richard is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. About Richard Lebovitz Richard Lebovitz is the CEO of LeanDNA , a purpose-built analytics platform for factory inventory optimization. Richard Lebovitz and Joe Lynch discuss leading inventory attack teams. acquired by SAP).
So, I smile, catch my dinner partner’s eye and ask, “In our prior conversations, you mentioned the lack of clarity on the definition of supply chain excellence in your current deployments and how this is a barrier to implementing supply chain planning properly. As shown in Figure 1, the reporting relationships vary.
To better understand the impact of big data analytics on procurement, we turned to industry veteran Walter Charles, CPO at Allergan, who sees big data as a major disruptor. Sourcing with Big Data. Walter Charles’s philosophy on the modern state of sourcing is that it is artificially limited by the tools that teams are using.
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. Think of it as the central nervous system of your analytics ecosystem.
<Bear with me… > Here I share a nine-step process in an attempt to help companies unravel the process for buying supply chain planning software. They center on how to make a good decision in the purchase of supply chain planning solutions. Most have purchased software, but are dependent on Excel spreadsheets.
With numerous options available across the source-to-pay spectrum, weve compiled the top three key technologies CPOs should embrace in 2025: 1. These procurement technologies empower teams to move beyond traditional methods, using data-driven insights for smarter sourcing, demand forecasting, and risk management.
It was a story where people believed that functional excellence leads to supply chain superiority. I strongly feel that a blind focus on functional excellence will cause the supply chain to become out of balance. Instead, I would like to see companies invest in new forms of analytics to better use existing data.
In his role, Ernest owns strategic sourcing, materials planning, customer care, and logistics operations globally. Historically, the Rockwell Automation supply chain organization included materials planning and engineering of new products but did not include strategic sourcing. Ernest Nicolas joined Rockwell Automation in 2006.
The IT taxonomy for visibility is supply chain analytics. As you implement supply chain analytics and use control theory with well-defined reference data with clear bands for control, process improvement ensues. These sources while functional are difficult to connect. The team was seeking analytics to monitor process compliance.
When it comes to Supply Chain Analytics, an “Apps approach” can have just as many benefits. But what exactly is a Supply Chain Analytics app? An “Apps approach” to Supply Chain Analytics is ideal for companies that recognize that one big solution is simply inadequate to solve every challenge they have.
Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. Most companies buy decision support technology, but do not redefine work to improve decisions. What Does Good Look Like? For me, there are ten characteristics that define a great S&OP process: Clear and Actionable.
Our current processes and dependencies on Excel spreadsheets cannot get us to our goal. 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. 3) Risky Business? I look forward to your thoughts.
Nowadays, procurement departments not only focus on the day-to-day buying operations but also search for the most efficient ways to go about them. Procurement analytics is a component of business intelligence and is increasingly important, especially in complex organizations. From whom are we buying? How much are we spending?
SCCN solutions provide supply chain visibility and analytics across an extended supply chain. A company buys these solutions to optimize their business. Rich Sherman – a Senior Fellow in TCS’s Supply Chain Center of Excellence – points out that many companies are building control towers to better manage their supply chains.
similarly, over 95% of manufacturers invested and implemented supply chain planning, but their primary tool today is Excel. For example, today, I had an interesting discussion with a client on the dilemma of Shadow IT and 200 planners having a number of planning technologies but using visual analytics. ” Does the Dog Hunt?
The procure to pay focus may continue, but other types of COE activities are layered on top, building on progressively more sophisticated activities such as KPI development, category intelligence support, risk management, contract management, and predictive analytics.
When it comes to Supply Chain Analytics, an “Apps approach” can have just as many benefits. But what exactly is a Supply Chain Analytics app? An “Apps approach” to Supply Chain Analytics is ideal for companies that recognize that one big solution is simply inadequate to solve every challenge they have.
Furthermore, it should leverage advanced AI and analytics combined with a configurable platform to ensure tight communication, information sharing and continuously improved collaboration with multiple tiers of suppliers, logistics providers and partners. Alex Zhong is Director of Product Marketing at GEP.
A slight change within a function–in sourcing or manufacturing, or along the chain–can greatly impact the outcomes of cost, customer service, or working capital. Bonuses and incentives align with functions and are often counter productive to driving supply chain excellence. Let’s take a closer look at sourcing.
Key takeaways Importance of Procurement Procurement vs. Purchasing Key Functions Departmental Structure Role Descriptions The blog emphasizes the significance of a well-structured procurement department with qualified personnel to achieve organizational objectives. Read In Detail About Procurement Department Here 2.
The introduction of smoke-free products made the use of spreadsheet tools far less efficient in the capacity and sourcing planning as the new product categories had rapid growth. “We We needed to simulate multiple scenarios of significantly increased capacity and sourcing complexity, at speed and over a long planning horizon.
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. We need planning platforms to keep up with all the changes.
Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?
Nick Lynch is the Global Excellence Manager at Shell Lubricants, a division of Shell Global. The Company implemented SAP Advanced Planner and Optimizer (APO) including the standard functionality of Demand Planning (DP), Supply Network Planning (SNP), and Production Planning and Detailed Scheduling (PPDS), yet many planners also used Excel.
He is very passionate about developments in the Supply Chain arena and is always seeking excellence in his drive for efficiency & innovation in Supply Chain operations” – a quality that is very relevant to face up to the many Supply Chain challenges in our path! My passion for Logistics and Supply Chain is founded from.
Data-Driven Decision Making : Using analytics to continuously refine operations. Leverage Data Analytics for Demand Forecasting Advanced analytics tools can predict customer demand and help you optimize inventory. Data-driven forecasting improves purchasing and cuts storage expenses.
Supply chain leaders were slow to adopt advances in Big Data Analytics. In parallel, PE/venture capitalists purchased/consolidated network solutions, slashing R&D and delaying investment, reducing industry capabilities. If you, like most, are running your supply chain based on ERP and Excel spreadsheet data, you are not prepared.
The network senses, translates, and orchestrates market changes (buy- and sell-side markets) bidirectionally with near real-time data to align sell, deliver, make and sourcing organizations outside-in. The use of advanced analytics enables the sensing of out-of-stocks. Customer-Centric Supply Chain Processes. Demand Sensing.
Gartner purchased the firm in 2010.) Driving Improvements in Supply Chain Excellence. He felt strongly that supply chain leaders knew how to drive supply chain excellence and needed a forum– or maybe two or three depending on the business model– to help them network and refine their approaches. I disagreed.
From stringent quality standards to comprehensive documentation requirements, Class 1 and 2 manufacturers must navigate a complex landscape to ensure compliance and product excellence. ERP analytics enable the reporting and tracking of variances and defects, providing valuable insights to improve the design process.
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