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 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 caseInsights into S&OP forecast assumption changes for Amgen
To address the challenges of medicine demand forecasting EyeOn created a database and input method that allows keeping track of all forecast assumption changes.
See caseScrutinizing processes and systems for BioMarin
An organisation-wide project focusing on assessing planning processes, knowledge, systems and data at Biomarin. Multiple workshops and interviews, stakeholder alignment. In preparation of the implementation of an APS.
See caseCollaborative inventory management for Heineken
EyeOn created an insights dashboard to help Heineken improve the cooperation with their largest customers. This project mainly focused on the data aspect of supply chain collaboration.
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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