days faster, cost-effective delivery (DataOps/MLOps)
rostering scenarios, improved employee well-being and flexibility
faster and precise analytics
A leading economic hub, employing over 500 workers, handles over 5 million tonnes of cargo annually. It facilitates logistics for numerous ships and tourists, contributing significantly to the region’s economic activity. While not directly mentioned, the economic impact of this hub is substantial, generating billions in GDP and supporting numerous jobs.
This vital economic hub needed to optimise their complex rostering process while ensuring employee well-being and operational efficiency. Manual methods proved cumbersome, leading to unpredictable schedules, fatigue, and high turnover.
Partnering with dataengine, the customer embraced a data-driven approach. Leveraging DataOps, MLOps, and agile methodologies, dataengine delivered a multi-phased solution:
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