Smart data collection to improve NPL data tapes management


manual work


faster processing

Improved NPL evaluation capability

Non-Performing Loans (NPLs) are a persistent problem for banks, with many loans becoming unpaid debts. Banks sell these NPL files to specialized operators and debt collection agencies, which need to extract as much information as possible to make accurate assessments of debt’s value and likelihood of recovery.

The manual extraction of data from NPL files is time-consuming, inaccurate, and slow, leading to missed opportunities and inaccurate evaluations. Debt recovery agencies are often unable to keep up with the large volumes of NPL files and the information needed to evaluate them.

Altilia Intelligent Automation offers a solution to automatically categorize documents and extract the over 230 relevant datapoints that were prevously read manually, to enrich NPL data tapes and streamline the NPL value assessment process.

This leads to a more informed data process, with more accurate information, which only requires a tenth of processing time a with a 90% reduction of the manual workload.

With an improved ability to evaluate likelywood of recovery and to negotiate the right price with the banks, NPL operators can now generate higher margins and profitability.

Download the complete PDF to know more about this use case application.

Explore more stories like this one

Automatic reading of power and gas bills and invoices

Automate the reading of power and gas bills and invoices to accelerate the digital sales process, improve conversion rates and optimize the customer experience.

Read more

Enhanced Chamber of Commerce registration filings with XML metadata

Extracting accurate information about Board Directors' executive and signing authority from raw XML files to enhance Chamber of Commerce registration filings

Read more

ID records recognition for customer onboarding

Automate the extraction of ID records from multiple types of documents and scans to accelerate customer onboarding operations.

Read more