Vessel's Estimated Time of Arrival Calculator

Reliable ETAs help streamline operations, from initial purchase to delivery. Having accurate and regularly updated ETA helps BCOs locate their cargo and improve customer relations through better visibility. It helps shipping agents plan the optimal port call, ensuring that shipment respects delays and stays on track.

It helps freight forwarders optimize multi-modal freight, and it helps port authorities reduce port congestion and avoid berthing conflicts.

Port authorities need precise times to reduce congestion, improve safety, and better allocate resources. Accurately monitoring the time of arrival of the vessels coming to the port will help to ensure an efficient supply chain and enhance the port’s activity, capacity, and competitiveness. When the exact ETA is known, all port operations become more efficient.

The AIS data traditionally obtained from a ship’s sensors is wholly based on the information that is provided by the crew on board. When we base the results on the thoroughness of the crew’s reporting, the accuracy of the ETA and the next port of call can be misreported due to human error, something that has been frequently happening in the industry for decades.

Sinay with its distinctive data-based approach aims to transform the way ship owners and charterers predict a ship’s ETA. Backed by AI algorithms, Sinay’s ETA module combines AIS data with historic shipping patterns, improving accuracy and facilitating a more transparent workplace for all the stakeholders concerned.

For starters, ETA prediction with advanced AI algorithms predicts results with pinpoint accuracy. Shipping companies can improve their logistics chain when it comes to delivering freight within a stipulated time in the due process. What’s more is, that all stakeholders get to have vital insights about future fleet positions, which can then be leveraged for framing future cargo handling plans.

Besides shipping companies and charterers, the tool would be of particular interest to companies that carry out port-based operations. Some examples are companies engaged in classification societies, paint, spare parts, etc. Port authorities could find this tool to be of particular interest when it comes to traffic management.

By providing accurate ETAs based on real-time data, businesses can exceed customer expectations, leading to higher satisfaction levels. Customers appreciate reliable arrival times, which fosters trust and loyalty towards the brand.

Predictive ETA calculations enhance logistics operations by optimizing routes, efficiently allocating resources, and minimizing wasted time. By leveraging data-driven insights for precise planning, companies can enhance productivity and decrease expenses linked to inefficient procedures.

Utilizing an ETA prediction solution gives businesses a competitive edge in the market. By consistently delivering on time and meeting customer demands, companies can differentiate themselves from competitors and position themselves as industry leaders, attracting more customers and increasing market share.