Without quality data, logistics and supply chain organizations cannot effectively manage container tracking or customer interactions, or make strategic decisions…but unfortunately, the maritime and ocean freight industries have data issues. The phrase, “Garbage in, garbage out” comes to mind. AIS data comes with a great deal of “noise” and effective container tracking is not just about data, it involves quick mining to produce actionable insights.
Some freight forwarders, importers, and exporters are overly reliant on a single source for data, while others draw from multiple sources, but are still struggling with data quality and integrity issues, such as:
- Location verification – is my container loaded or discharged where I expect it to be?
- Vessel identification – is the reported vessel the actual vessel that transports my cargo?
- Inaccurate reporting of milestones – did the reported event actually occur? For instance, if the container was reported as “loaded,” is it really aboard the vessel?
These data obstacles can lead to inadvertently tracking the wrong shipment or vessel.
Windward conducted a data comparison and found that with an industry-standard transportation management system (TMS), logistics and supply chain organizations are tracking the wrong vessel 17% of the time!* The current state of data makes it difficult for organizations to achieve visibility, let alone actionable visibility. This situation impacts strategic decision-making, cost-savings initiatives, and the customer experience.
This white paper will analyze the challenges around data that freight forwarders, importers, and exporters, as well as solution vendors, are facing. It also highlights the must-have features and functionality that purchasers should consider when evaluating data solutions, such as multiple sources, clean data, and iterative improvement of current and historical data, for greater accuracy, latency, and flexibility.
If you are depending upon or evaluating a data solution, it’s important to peer behind the curtain to carefully check the data strategy and architecture.
This white paper gives you just such a peek and explains how and why Windward rebuilt our Ocean Freight Visibility (see below for a solution description) data layer architecture to offer better accuracy and versatility to customers; highlights the importance of the Digital Container Shipping Association (DCSA) standard; and outlines the benefits that ocean freight personnel can gain from an optimized data layer.
*One or more of the shipment legs was misaligned with Windward’s data, which was validated by vessel activity/port calls.