As a global company, BOSCH Power Tools (BOSCH PT) needs to transport goods and products, meet customers needs and maintain profit margin. Majority of its products are transported by ships, however, due to various challenges carriers have problems meeting deadlines. This induces heavy burden on global operations because each ship being late results in increased costs. To mitigate this, we developed machine learning model provides Estimated Arrival Time (ETA) for each ship carrying BOSCH PT’s containers, which significantly helps BOSCH PT to adjust its daily operations in accordance with sudden and unpredictable changes. Currently, our solution runs on-premise but we are looking forward to extend it to cloud infrastructure.