Noodle.ai Reinvents Supply Chain Planning with New Math
740 results
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Leveraging Machine Learning for Demand Forecasting
Until recently, conventional time series forecasting methods have been predominantly used for forecasting in demand planning. A majority of demand forecasting tools in the market leverage these methods in their solutions. With advances in technology and computing power, the sophistication of these time series algorithms has increased thereby increasing forecast accuracy. However, with the advent…
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Best Practice Demand Forecasting with SAP IBP
Contributing Editor: John Yuva, SAPinsider Demand Forecasting with SAP IBP Robust is a difficult term to define. It’s something that is useful for the organization, something that makes sense. A robust demand forecasting process must be able to handle variances in demand and enable control of your supply chain — with the intent of avoiding...…
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The Imperative for The Evolution of Demand Forecasting
In this video we discuss why demand forecasting challenges have become much more critical for SAPinsiders. This content is for SAPinsider Monthly Subscription, SAPinsider Annual Subscription, and SAPinsider Premium Annual Subscription members only.Log In Join Now
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Data Outliers Detection in SAP IBP Demand Forecasting
In our recent research, Supply Chain Planning in The Cloud, SAPinsiders highlighted that demand forecasting remains a key challenge. Fortunately, best-of-breed supply chain tools today provide many features and functionalities, including a rich portfolio of algorithms, that can help bring more science and certainty into this exercise. However, as the popular saying of "Garbage-In-Garbage-Out (GIGO)"…
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Demand Sensing Improves Short-Term Demand Forecasting at Arla Foods
Most organizations today are somewhere along the journey toward becoming a digital business, with meeting high expectations for the customer experience a central driver. One of the keys to creating an exceptional experience is the ability to access data in back-end systems in real time, which means that robust integration is critical. This article introduces…
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Streamlining Inventory Management: A Case Study on BHS Corrugated’s Industry 4.0 Transformation
Faced with challenges of excessive stock levels and inadequate transparency, the company embarked on a digitalization initiative leveraging Industry 4.0 principles with ifm Supply Chain.
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Probabilistic Supply Chain and Demand Forecasting with SAP IBP: Deliver Results Using Data Science
SAP introduced the concept of Probabilistic Supply Chain into its SAP IBP product in the current and future versions with adaptive and very powerful algorithms for large data sets. Certainly, AI has been around within the SAP landscape for a while with extremely powerful algorithms in the SAP BW-Data Mining suite and SAP HANA PAL…
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Leverage SAP Integrated Business Planning for Forecasting
Robust is a difficult term to define. It’s something that is useful for the organization, something that makes sense. A robust demand forecasting process must be able to handle variances in demand and enable control your supply chain — with the intent of avoiding situations where you have 1,000 days of inventory or are missing…
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Step-by-Step Statistical Forecasting Using SAP APO
ManagementLearn a 15-step methodology for executing forecasting projects in SAP Advanced Planning and Optimization. Understand the most common methods of statistical analysis. Learn best practices for implementing these methods in practice. Key Concept Forecast strategies are used in SAP Advanced Planning and Optimization to decide how forecast values are calculated. Selecting a method depends on...…
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Scale Up in Retail with SAP’s SCM 4.1 Inventory Collaboration Hub
Although it was first introduced with SCM 4.0, few users have leveraged SAP Inventory Collaboration Hub (SAP ICH) to take control of large inventories in numerous locations. Those in retail and other industries with such requirements will find they can manage large operations more easily. Key Concept SAP ICH is heralded as SAP’s strategic supply...…
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