A major mining company found several significant inefficiencies in the way it managed housing for its onsite workers. Erratic housing needs and patterns, inaccurate daily occupancy reporting, price differences and varying rules for employees and contractors made this a complex undertaking for the logistics team. The team also struggled with transportation planning. All of these problems were driving up the costs.
The company asked Cognizant for a technology-based solution to address the challenges and drive down the costs.
Cognizant’s Artificial intelligence team worked with the client to develop a proof of concept for a secure data analytics solution that automates basic reporting, manages ad hoc schedule changes, predicts no-shows, and flags non-compliance and reporting anomalies that have cost impact. We built an “optimization engine” that processes current occupancy data and recommends optimum space allocations based on a back-to-back optimization approach. Our team consolidated these features into a digital analytics platform (DAP) and shifted the platform to a cloud environment.
In subsequent stages, we expanded the platform’s capabilities to analyze data on the company’s fleet of trucks as well as a range of plant and equipment productivity metrics. These expansions enable predictive and preventive maintenance of the fleet and help deliver efficiency improvements throughout the organization.