Claims management and anomalies detection

The need:

Eliminate manual and repetitive tasks that are time consuming and error prone.

Being able to detect missing or incorrect information.

Analyze, store and filter unstructured and structured data for a better visualization.

The solution:

Cognitive Search pipeline to process the invoices.

Cognitive Search to search around the invoices.

Custom NLP model to detect any anomaly.

Creation of a tool to search, filter, and sort the invoices.

The ROI:

Recover money from invoices with anomalies.

Be able to do advanced queries on the invoices files (e.g., invoices from 2020 to 2021 with a total amount of more than 300 € and with anomalies with more than 50 €)

Invoices as a structured data

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