As an expert in the field of intelligent document processing, Acodis was commissioned with the project. In a first step, 8,000 documents were classified with the help of a machine-learning system to identify around 2,000 relevant contracts. Subsequently, the contracts were analysed and more than 80 data points were read out and processed in a structured manner. Examples of data points include start and end dates of the contract, customer information and financial framework conditions. In addition, the extent to which individual contracts deviate from the standard contracts was investigated.
As an output, the market-leading, Swiss-based and globally active diagnostics and pharmaceutical provider has a contract database at its disposal, which contains not only the digitised contracts but also the processed contract content. Access to the information is convenient and independent of location via a web application using the company login.
New contracts can be added to the system quickly and easily by sending them to Acodis by e-mail and uploading them automatically from there.
In addition to an overall view, employees can now find all relevant information on the contracts at the touch of a button and can simultaneously view the relevant section in the corresponding document.
Thanks to a smooth integration into the existing systems, a scalable solution has been created that automates the entire contract process from signature to reporting, thus saving time and costs.