Our client is the global leader in the agricultural industry for creating sustainable flowers. They experiment extensively to develop new materials. Their Material Creation process is lengthy and complex due to many variables. To bring transparency into the said process, we started by connecting two different processes that rely on each other throughout the creation of new flowers. With complete transparency into the overall process, we gave our customer the data to understand the effort for the material creation versus the actual usage of the material
Tag Archive for: Customer success story
The municipality of Hilversum aims to send out the annual municipality charges before the 1st of March every year. However, due to many manual interventions, the procedure around calculating and processing said charges are highly complex and time-consuming. Therefore, Apolix built a tailored process mining solution. Not only did we create transparency in the process, we gave them a risk-and-control matrix to manage the risks and a dashboard to discover in real-time the as-is situation of all charges.
For our customer, a telecommunications company in the service management industry, we analyzed their customer service process. From looking at how they currently handled complex customer inquiries to reassignment rate between agents, we took the entire process under the loop. Read our the Customer Success Story where we take you through the entire journey from what the challenges were to how we optimized the process.
For our customer, a company in the medical supply and healthcare industry, we made a complete visualization and analysis of their ‘personalized’ Prescription-Based Order Excellence process. From project methodology to General findings to Action Taken to Conclusion, we cover the entire process in this Customer Success Story.
The vast amounts of data organisations collect is not used to its full potential. Marketing analytics turn out to be difficult, even though the value has been proven. In the journey towards a data driven marketing department, Apolix helped 100%Driven to build a predictive model with machine learning.
The findings indicate the importance of improving the quality of the purchase orders. Even though Ampelmann has an outstanding throughput time, much manual labour can be prevented. This will result in higher process compliance, efficiency and time for other improvement projects.