Kickstart your machine learning journey in demand forecasting with EyeOn Proof of Concept
Machine learning is all about using machines to improve your demand forecasting capabilities. So how do you set up the machine to do this successfully?
See caseInsight in your forecast automation potential with Forecast Fast Scan
Our Forecast Fast Scan delivers the proof you need to start your move towards more automation in your forecasting set-up. In just a few days, we show where and how you can improve versus your current forecast performance by introducing automation in the form of statistical forecast models.
See caseHow inventory optimization helps Cordstrap to reduce days of inventory and stockouts
Discover how EyeOn helped Cordstrap to reduce their safety stock value by 10% and stockouts by 40% by data-driven inventory optimization.
See caseA forecast optimization roadmap for 5 Pietercil Delby brands with the Fast Forecast Scan
Conducting the EyeOn Fast Scan assisted Pietercil Delby's in efficiently and cost-effectively testing their assumption regarding the most optimal demand planning setup for their fresh business division.
See caseHow data-driven decision-making enabled Nunner Logistics to maximize efficiency as 3PL provider
EyeOn supported Nunner Logistics with the design and implementation of performance management dashboards. The dashboards help Nunner to identify if the workload deviates from the planned workload, spot under- or overperformance, and monitor (key) performance indicators that impact the overall performance.
See caseMarket driver-based forecasting at Rockwool
The challenge in long-term forecasting is to find the relevant drivers that predict market changes and development. We developed a model that supports Rockwool to understand the market with fact-based forecasting.
Sweet spot and responsiveness for Jumbo
Fresh products rely on a well-managed supply chain. How to fine tune the replenishment parameters to have the optimum balance between availability and freshness, while avoiding food waste.
See caseRedesigning statistical forecast
EyeOn supported a multinational semiconductor manufacturer to redesign their statistical forecast based on an efficient process to quickly evaluate various scenarios in order to improve their lead times.
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