What is the Newly Introduced Predictive ETA?

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Let us consider an example: if a carrier leaves the port of Maharashtra on the 3rd of January and the ETA forecasted for the destination port is around the 18th of January, then the carrier vessel is expected in Punjab approximately around the 18th of January.

Significance in Logistics
The time frame or estimated time of arrival (ETA) plays a vital role in planning further proceedings by the consignor and the consignee. It allows them to coordinate the procedures starting from the parcel’s arrival with the other parties that are included in this process. ETA also entails the time required by the freight forwarders as well as the customs authorities and brokers. Even the smallest delays in the ETA can impact the delivery schedules, causing complications to both the sender and receiver.


The recent improvements seen in existing technology, as well as the implementation albania phone number list of new ideas, have created predictive ETA in addition to the conventional ETA. It uses real-time data combined with predictive analytic technology to give a more precise estimate of the arrival time of a specific shipment.

Predictive ETA considers more variables and thus requires more data while estimating the approximate arrival time. It includes factors like geography, climatic conditions, route taken, traffic congestion, arrival port congestion, terminal delays, etc., to determine the estimated time.

Let us consider that a vessel that is being shipped from the port of Maharashtra on the 3rd of January is expected in Punjab by the 18th of January. If it gets caught in a hail storm, the cargo will arrive in Punjab on the 23rd of January. With this as the foundation, predictive ETA is updated, and the expected time of arrival will also be amended.