Blog - Planning Services

Declining forecastability: Can your portfolio still be forecasted?

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.

Shaking up demand planning with statistical models: Balancing human ingenuity and statistical effectiveness

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.

SAP APO: how to navigate its end of life

Navigating the end of life of SAP APO: Bridge solutions for businesses

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.

Enhancing Statistical Forecasting: Mitigating Limitations through Innovative Approaches

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.

Building on a solid statistical forecast foundation: use a focused enrichment tool

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.

Journey towards unprecedented growth and versatility - An employee story by Andrey Averyanov

“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.”

Continuous improvement on the best-fit selection procedure of a statistical forecasting model

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: act now, plan ahead in logistics

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.

Rapid Forecast Assessments beyond KPIs

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.

Rapid Assessment to identify the potential for improvement in your forecasting process

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.

Do you trust your Excel-based demand plan?

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 planning after mergers and acquisitions: How to unlock value and mitigate risks

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.

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Stop firefighting in warehouse logistics

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.

Learn how to boost your fire prevention in our new blog post

Boosting logistics performance: The value of fit-for-purpose insights and advanced forecasting

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.

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Driving inventory health: Benefit from E2E insights & optimization

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.

Watch the webinar recording! »

S&OP insights for effective decision-making

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.

Effective demand forecasting: beyond improving forecast accuracy

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: