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 basis.
Explore the challenges of declining forecastability in demand planning and discover innovative solutions for navigating turbulent times. Learn how agile and adaptive forecasting approaches, such as driver-based forecasting leveraging machine learning and artificial intelligence, can enhance predictive accuracy.
In the ever-evolving world of demand planning, we see the human effort involved in forecasting intensifying despite the analytics and technological tools available. How can we remove the routine tasks from the demand planner job, while ensuring we deliver top-notch results? The answer might lie in a blend of human business knowledge and the power of data-driven statistical models in demand planning.
As SAP APO reaches its end of life, companies are not only seeking alternatives to fill the impending void but also looking to address the existing functional limitations of SAP APO. One promising approach is to consider bridge solutions. They should seamlessly bridge the gap left by SAP APO’s departure, offering the same advanced capabilities while the new Advanced Planning and Scheduling (APS) solution is being designed, selected, and implemented.
A pivotal aspect of management lies in forecasting. Statistical forecasting, a widely used method of harnessing historical data for trend prediction, presents inherent advantages but also limitations. Innovative strategies with insights from EyeOn Planning Services can help you avoid these limitations in your forecasting process.
At EyeOn Planning Services, we developed a solid base forecast enrichment tool, where the high flexibility of Jedox allows us to finetune the tool to specific customer needs, e.g., adding further demand planning functionality or specific disaggregation rules. This ensures fit-for-purpose forecast adjustment based on a customer’s specific market insights and business requirements.
“During the first year at EyeOn I was already exposed to chemical, packaging and pharmaceutical industries, executing projects in planning systems integration, S&OE design, supply planning, and inventory management. This exposure allowed me to continually expand my knowledge, adaptability, and problem-solving skills—a far cry from the limitations of a narrow single-company focus.”
In this case study we investigated if the forecast model selection could be improved by applying representativeness in the best-fit procedure.
People are not robots, and this actually makes them a very valuable asset. By applying high-quality forecasting and planning logistics companies can successfully meet evolving customer needs, with controlled labour costs and boosting flex worker retention by providing a more predictable and attractive place to work.
The insights from the steps leading up to a statistical forecast are often as valuable as the statistical forecast itself. Learn what practical outcomes your business can get from each step/phase of statistical analysis.
Identify your improvement opportunities and make informed decisions based on data-driven insights in your forecasting with rapid assessment. This includes a multi-dimensional check of your current performance and results and comparing it with the statistical forecast created using EyeOn’s best practices defined for your industry.
Many planning processes depend on a good demand plan. Yet a surprising number of big companies still rely on a home-grown Excel solution for demand planning, even though more advanced and robust solutions are available on the market. In this blog post we provide an overview of the alternatives and help you evaluate if they are a good fit for your business.
Supply chain synergy and supply chain transformation can be a significant source of post-M&A deal value and a critical enabler of long-term corporate growth and market competitiveness. In this blog post we explain how you can unlock this value and mitigate potential risks.
The logistics industry is facing significant challenges from both the demand and supply side. High-quality forecasting and planning can absorb these imminent demand and supply pressures without the need for heavy capacity investments or uncontrolled short-term costs. Simply by preventing short-term issues before they arise.
Logistics is an extremely dynamic business sector that faces high cost pressure and is impacted by various external factors. In today’s complex world it has become more challenging than ever to forecast customer demand for transport and warehousing. To be successful, logistics companies need to boost their capability to look ahead and take effective decisions based on actionable insights.
Inventory is an increasingly important driver for both your supply chain costs and service levels. In this webinar we elaborate and show examples on how you can benefit from true inventory transparency to initiate inventory improvement quick wins as well as detecting main improvement areas.
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: