Automating Transportation Operations Demo
Watch this short platform demo to see how Hyperscience is reducing costs & complexity in the transportation industry by introducing automation into a number of workstreams. With Hyperscience, the customer is able to train a digital worker using AI and ML to classify and extract specific data points from highly variable documents, such as Bills of Lading.
Today, Hyperscience is helping to reduce cost and complexity in the transportation industry by introducing automation into a number of work streams. In the past, it required a lot of manual effort due to the complexity of these documents, such as bills of lading and rate confirmations, where traditional automation tools were not effective.
In this example, with Hyperscience, the customer is able to train a digital worker using AI and ML to classify and extract very specific data points from these highly variable documents. In this workflow, you will see specific blocks where the digital worker is deployed to automate the classification and extraction from these documents. Additionally, with the Hyperscience Flow Studio, we can add the use of large language models and other custom blocks that can help automate the work stream even further.
Our digital worker will automate against a set accuracy input, which is configured out of the box. As you see here, the digital worker has done most of the work but has raised its hand for the human to help locate a field in this document. Next, we can apply our large language model to validate matching information across these documents.
As it is important downstream to the whole process, we are able to train our digital worker as we would a human to understand examples such as this, where these addresses match, even if on one document the address is incomplete. However, as we see here, our commodities do not match and we need to have a human review. This becomes a quick exception handling process, and we can move on and get this data downstream quickly. This allows companies to differentiate with faster turnaround times without sacrificing accuracy, which ultimately provides a better customer experience.