Trade Lane Analytics simplifies carrier performance monitoring.
Trade Lane Analytics offers essential statistics, including omits, delays, and rollovers of any trade lane of your interest. This data is presented in an intuitive API interface, with customizable views based on carriers and time frames, removing the need for manual inspection.
With Trade Lane Analytics, you no longer have to face the hassle manually inspecting and tracking carrier performance. Trade Lane Analytics presents the essential statistics necessary for evaluating your trade lanes with ease. Using its intuitive API interface, you can discover the number of omits, delays, and rollovers of each carrier, all neatly compared to the total journeys. Plus, you can customize your view by filtering for specific carriers and selecting your preferred time frame.
Trade Lane Analytics is your go-to service when you wish to receive valuable statistical insights into the performance of various carriers and the associated risks specific to a given trade lane.
Here are the factors that can have an impact on trade lanes:
A delayed sailing occurs when the vessel departs or arrives later than initially scheduled by the carrier. These delays can stem from issues at the point of departure, known as an “origin delay,” where the ship leaves later than planned.
They can also stem from issues at the destination, termed a “destination delay,” when the ship arrives later than originally scheduled.
The Trade Lane Analytics service tracks and calculates the number of delays at both the origin and destination ports, offering insights into these occurrences.
An omit occurs when the carrier fails to make a scheduled port call.
Omits can arise from a range of factors, including low cargo volume for a specific port, schedule optimization, or rescheduling, among others.
The Trade Lane Analytics service assesses the frequency of omits at both the origin and destination.
A container is considered “rolled over” when it fails to make it onto its originally scheduled vessel, resulting in it remaining unloaded on the intended vessel but getting loaded onto a different vessel. This data is supplied by Trade Lane Analytics.
In addition, Trade Lane Analytics provides information about whether the rollover can be attributed to carriers or shippers.
Carrier-rollover refers to when a full container is gated in before the cut-off time.
Shipper-rollover refers to when a full container is gated in after the cut-off time.
If you are encountering any of the challenges listed below, then Trade Lane Analytics may be the right tool for you.
You are unsure whether your chosen carrier is performing better or worse than other options.
You lack a comprehensive overview of your carrier’s performance across all your trade routes.
You spend lots of time manually monitoring each of your shipments and their respective carriers and create your own comprehensive ‘’Excel overview’’.
You find it difficult to choose the right carrier or port for your selected trade lane.
You find yourself missing information about the likelihood of omissions, delays, and roll-over situations.
You find yourself needing direct access to high-quality data so you can always stay prepared and informed about the potential risks associated with your selected trade lane.
You find yourself needing access to high-quality data on your selected carriers to be aware of the risks they may encounter and to use this information proactively in your negotiation.
