EyeOn - Fully Automating the End-to-End Flow to Improve Accuracy in the Planning Cycle
Name:
Dan Roozemond, Data Science Lead
Anne de Vries, Data Scientist
Jeroen Vermeulen, Consulting Planning Services
Thijs Wezendonk, Data Scientist
Per Wingaard Sjoqvist, Supply Chain Consultant
Rijk van der Meulen, Data Scientist
Dirk Cremers, Junior Data Scientist
Country: Netherlands
Organization: EyeOn
We love impactful forecasting and planning improvements. The bigger the impact, the more enthusiastic we get. We realize concrete improvements in defined planning processes to establish more efficient processes and achieve better results. Together with our customers we implement high-impact forecasting and planning improvements. Based not only on our experience from working with over a hundred large, multinational companies, but also combining the latest techniques, proven innovations, and insights from continuous research. Our team of pure specialists focuses on complex challenges for ultimately, growth of profitability. Challenge us, and we will get the job done.
Awards Categories:
- Most Impactful Transformation Story
Business Challenge:
One of our customers in the Process industry faced a challenge with their demand planning cycle, having to forecast about 3000 DFUs each month. Their current process was error-prone, demanded considerable effort from a large group of planners, and did not deliver the desired results in terms of accuracy.
Consequently, significant money was left on the table across their supply chain (considering the knock-on impact on production and inventory).
Business Solution:
We built a robust data pipeline in Dataiku, using a combination of out-of-the-box recipes and in-house developed plugins. This covers the end-to-end flow from data submission through data validation, feature generation, and producing the final forecast. The process is fully automated: data is automatically processed, and one of our colleagues is alerted when the final result is available.
Value Generated:
Our customer now enjoys a robust, repeatable process that guarantees a timely, high-quality forecast and frees up the planner’s time to focus on high-value activities. Their broader supply chain benefits from the resulting production and inventory savings. Accuracy improved for both shorter and longer time lags. For instance, the 4-weeks forecast improved by 22 percentage points.
Value Brought by Dataiku:
A robust process that is transparent for our colleagues, easy to maintain, and easy to monitor. Dataiku’s plugin capability means we can ensure an efficient, high-quality, consistent way of working.