Predictive Maintenance
Challenger is looking to put in place an initiative to utilize data that is being collected from its truck fleet in order to reduce fuel costs. Based on Challenger observations, optimizing for certain truck maintenance activities can lead to significant improvements to fleet wide fuel economy. As a result, Challenger wants to extract insights about the effect of various maintenance activities on truck fuel economy. Challenger aims to implement a Predictive Maintenance (PdM) Model to monitor the trucks and predict when certain maintenance activities should be made. With predictive insights that help optimize maintenance activity, Challenger will be able to optimize the fuel efficiency of their fleet and save on fuel costs. We are looking for students to help us with R&D relating to initiate and building out a new solution. This project may include, but is not limited to Data Pipeline Development Analytics Strategy Predictive Modelling Design Visualization and Dashboarding
Process Automation Workflow building
Current Invoicing Processes are tedious and rely heavily on manual entry. Many Businesses, across many industries are beginning to shift towards automated invoicing leveraging current technologies such as Robotic Process Automation (RPA; UiPath), Optical Character Recognition Software (OCR) and Analytics tools like Alteryx. These technologies reduce manual entry, which in turn reduces FTE requirements on this process and improve data entry accuracy. We have a team actively working on identified opportunities within Order-to-Cash process. We are looking for students to join us on this journey to Automation.
Supply Chain and Logistics
We are looking for students to help us with R&D relating to improving processes and building out new solutions. Then provide us with recommendations for improvement or join us on the journey to innovating better solutions for our business. This project may include, but is not limited to Process Improvement Design Thinking Solution Building Researching and recommending the optimal products or services we should be bringing to market.