Case Study: İşbank reduces manual money order processing with Instabase

İşbank boosts money order classification to 85% with Instabase

İşbank, a large private bank in Turkey, faced a significant challenge in processing nearly 30,000 pages of money orders daily. The unstructured nature of the documents forced employees to perform extensive manual classification and data entry, leading to high operational costs and slower processing times that impacted customer satisfaction. To address this, İşbank turned to a generative AI solution from Instabase for its Commonfax use case.

Instabase's solution automated the classification, extraction, and validation of data from the money orders. This implementation led to remarkable efficiency gains for İşbank: the document classification rate increased from 41.4% to 85%, and the data extraction rate jumped from 22.5% to 75%. By leveraging Instabase, the bank significantly reduced the manual burden on employees, lowering costs and improving service delivery.

İşbank