Building Demand-Driven Supply Chains with Reveal

693 results

  1. 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…
  2. 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…
  3. 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

    Reading time: 1 mins

    In this video we discuss why demand forecasting challenges have become much more critical for SAPinsiders.
  5. 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)”…
  6. How to Reduce the Bullwhip Effect by Following a Demand-Driven Supply Chain Strategy

    Learn how to integrate consumer demand signals to achieve a demand-driven supply chain that is used to optimize short-term forecasts and increase demand network visibility. From a demand planning perspective, planners can now compare the traditional consensus demand forecasts with a point-of-sale (POS) statistical forecast and therefore apply corrections based on true consumer demand. From…...…
  7. From Demand Planning to Demand Signal Management: Pros and Cons of Five Demand Management Solutions

    This article compares demand management options in five SAP solutions and discusses Demand Signal Management (DSiM), a new, SAP HANA-based solution, including a case study of a company that adopted the technology. Key Concept Demand Signal Management (DSiM) is an SAP HANA-based solution that helps in sensing demand from a variety of data sources, such as…...…
  8. How to Manage a Distribution Plan in a Supply Chain Model in SAP APO When Supply Exceeds Demand

    Learn the process flow and understand the various strategies you can use to carry out deployment of supply elements (receipts) in SAP Advanced Planning and Optimization (SAP APO) when the total supply is greater than the available demand. Key Concept Deployment basically determines which distribution requirements can be met by the supply (receipt elements). Deployment…...…
  9. 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…
  10. How to Leverage Collaborative Demand Planning with APO

    Discover how to leverage, configure, and execute the business requirement of collaborative demand planning using SAP Advanced Planning and Optimization (APO). Find out how to use the collaborative demand planning functionality of APO for a consensus demand forecast. Key Concept Collaborative demand planning is an agreement between business partners on demand quantity for a specific…...…