You need specialized knowledge to generate the best possible forecast, to determine optimal inventory parameter settings and create fit-for-purpose end-to-end supply chain insights. Our Planning Services experts share their knowledge and learnings on a regular base.
In this blog post we explain why the success of an S&OP or IBP process relies heavily on having the right information available at the right moment and how to effectively combine and share S&OP insights.
One might think that the main goal of an advanced forecasting service is to optimize the forecast generation process to improve key performance indicators such as forecast accuracy and bias. However, in the first few months of collaborating closely with a customer this is usually not the highest priority. We focus on:
Exponentially growing amounts of available data are at the same time a challenge and an opportunity for businesses. Maximize the benefits with a smart-touch demand planning process, combining focused enrichment with a high-quality statistical baseline forecast.
In this webinar we explain how your company can take advantage of high-quality forecasting analytics instantly, facilitated by a fit-for-purpose enrichment tool and actionable reporting in Jedox.
An interview with Filip Buytaert, Global IBP and Supply Chain Director at AkzoNobel. When AkzoNobel chose to introduce IBP company-wide, they realized they had neither the tools, structured approach, nor the time to step up. By partnering with EyeOn Planning Services AkzoNobel was still able to accelerate their IBP journey with immediate forecast improvements.
In today’s supply chain data is everywhere, but more information is not automatically better. Applying more advanced analytics will enable you to generate a reliable and more accurate forecast.
Consumer behavior is volatile in the short term due to events, promotions, or weather impact, and in the long-term macroeconomic drivers impact your demand. Including these drivers in your forecast will help you to deal with this intricate and erratic market demand.
Learn how to generate a reliable and more accurate forecast by applying advanced analytics and machine learning techniques. Concrete customer cases demonstrate the tangible benefits that can be gained.
The amount of available data to make high quality decisions in supply chains has increased tremendously in recent years. But how to turn these massive amounts of data into actionable insights?
In this webinar we explain how we support companies with fit-for-purpose supply chain insights as-a-service to accelerate business benefits: higher service levels, less stock outs, lower and more balanced inventories across the integral supply chain. Planning Services collects and processes data efficiently and turns it into recurring actionable end-to-end supply chain insights that facilitate fast decision making. The webinar includes three company cases illustrating how combining data analytics and information design results in effective dashboards.
Effective dashboards bring together knowledge, human interpretation of data, and the strength of automatization. It opens new ways of working, often much faster than before. Good dashboards are easy to understand, with a clear focus and engaging visuals. They should be exciting to work with!
In a market with growing complexity and pressure it is a continuous balancing act to keep product availability high, inventories low and prevent excess & obsolete stock. This requires not only a highly accurate forecast but also right sized inventories, as the forecast will never be perfect. Keeping your inventory healthy is not a straightforward task: it requires specific expertise and tools.
In this webinar we introduce the EyeOn Planning Services approach to improve & control inventory health with actionable insights and regularly optimized inventory settings. Illustrated by real-life company cases, you will learn how we create transparency into your current inventory build-up and balance service levels with capital investment.
“Our enrichment process, powered by EyeOn Planning Services, helps us to achieve forecast improvements even in today’s hectic times.” – Tobias Kraft, Customer Demand Manager at AkzoNobel Automotive & Specialty Coatings. Adding market intelligence to a statistical baseline forecast should make the final sales forecast more accurate. However, these ‘enrichments’ often make the forecast worse instead! Best-in-class enrichment processes minimize non-value-adding activities while maximizing the effectiveness of the enrichments being made. In this webinar we highlight how one of our Planning Services customers, AkzoNobel, installed a well-structured and formalized enrichment process to drive true forecast quality, using fit-for-purpose tooling and reporting.
Supply chain processes are changing rapidly. Due to increasing algorithmic possibilities and the use of Advanced planning systems, the role of the human planner changes. But how to design this new planning task, thereby capitalizing on the strengths of both roles, i.e., the planner and the algorithms? Does this mean that we have to take out the human entirely via no-touch planning, or do we still see an added value for the human planner? In this webinar our EyeOn experts provide insights on the role of human planners while executing the planning and forecasting task. Knowledge and experience of human planners provide a valuable contribution in terms of planning accuracy.
Many companies use planning tools that have been implemented several years ago. In current times many companies want to accelerate the use of advanced analytics in their forecasting & planning processes to get grip on the highly evolving environment. However, only few companies have a clear view on how to make that change. Companies often dread a multi-year IT journey to implement a new planning solution.
In this webinar we explain how companies can take advantage of advanced analytics instantly, plugged-in to their current APS and ERP tools. Using customer cases we demonstrate how companies buy time to prepare and detail their IT roadmap, while materializing the concrete benefits of advanced analytics as-a-service.
Demand patterns change over time. The statistical model used for forecasting is only as good as its interpretation of the historical data. When the market is moving fast or your portfolio changes, you need to respond.
Refreshing best-fit statistical forecast models regularly can improve forecast accuracy. But a too frequent change of models results in nervous forecasts over time. The key question is: how often to asses and adapt your statistical forecast models?