Stredoslovenská distribučná, a.s. (SSD) is a distribution energy company operating in Žilina, Banská Bystrica, and part of the Trenčín regions, where it distributes electrical energy to more than 770,000 customers. It provides services related to the operation of distribution networks to its customers, main business subject being the distribution of electricity. For the proper performance of this activity, the company also carries out other activities, such as installation and repair of measuring and control equipment, design of electrical equipment, engineering activities, and so on.
,,In our team we have one person focused only on reading and categorising building permits which is more than 20 000 documents every year. ableneo managed to extract needed information with accuracy of 90% and categorise documents with accuracy of 75%, resulting in more time for our colleague to focus on different tasks. "
Summary
We developed an AI-driven solution to automate data extraction and document categorization. Our solution achieved 90% accuracy in data extraction and 75% in categorization, significantly reducing manual effort and allowing staff to focus on other tasks.
Challenge
What was the problem
SSD receives more than 20 000 building permits per year which are manually processed and forwarded for further processing or archivation. Every document must be opened and read to determine what are the next steps.
The project focus was on extraction of data from the document, contextual reading and automation of the categorisation into 26 categories.
Solution
How we solved it
Major challenge of the project was the unstructured format of documents and their categorisation. Documents are categorised into 26 categories which often overlap but are not specifically named so its important to understand the context of the document.
Tools & means
- Kognitos AI Tool
Outcomes
What has changed
In their team they have one person focused only on reading and categorising building permits, which is more than 20 000 documents every year.
We have managed to extract needed information with accuracy of 90% and categorise documents with an accuracy of 75%, resulting in more time for their colleague to focus on different tasks.