May 19, 2020

Alfa Insurance automates document processing with Smart Engines IDR system

May 19, 2020 — Alfa Insurance has introduced the Intelligent Document Recognition system from the Russian developer Smart Engines to speed up the conversion of paper documents into digital forms

Alfa Insurance (AlfaStrakhovanie Group) is the largest Russian insurance company, offering more than 100 insurance services to its 23 million individual and 435,000 corporate clients (Aeroflot, Coca-Cola, RusHydro, Yokohama, Sheremetyevo International Airport, Svyaznoy, Euroset, Lukoil, and more). Being one of the country’s top market players, Alfa Insurance processes over 20 thousand documents, including contracts, financial documents, and incoming correspondence on an everyday basis. This documentation is being populated into the company’s electronic document management system (EDMS), which now incorporates barcode scanning feature, is able to capture scanning time, name of the employee who is performing the document recognition, as well as the place where the original documents are being stored, and other attributes of the process. The digital system imports digital documents in PDF, XLSX, DOC formats, for further storage in EDMS.

“Alfa Insurance employees are working with large amounts of documents, and despite the apparent easiness of the process, there are quite a few technical requirements to it: first, and foremost, in order for it to be quick and error-free, a high-quality technical solution is needed. In case an organization uses third-party software, it will have to invest in the license and technical support; this is the reason why we decided to come up with our own IT system with the help of a reliable software developer. The newly introduced IDR solution from Smart Engines works fast, is error-free, and cost-effective, and has thus fully met our expectations”. Elena Eremina, Head of the Information systems department, Alfa Insurance

About Smart Engines

Smart Engines is a Russia-based company, world’s leading supplier of integrated solutions for the recognition of identification documents based on years of fundamental R&D conducted by Russian scientists in the field of image recognition and processing, machine learning, high-load systems, recognition in the video stream and algorithmic optimization. IT, communications, and financial markets’ leaders are using Smart Engines solutions, which are key contributors to the development of the digital economy infrastructure, providing high recognition accuracy and ensuring the security of personal data. 

Contact: Smart Engines PR-department, pr@smartengines.com

www.smartengines.com

About AlfaStrakhovanie

AlfaStrakhovanie Group is the largest Russian insurance company (4 place among the largest Russian insurers, according to Forbes), offering more than 100 of insurance services to its 435,000 corporate and 23m individual clients. Among corporate clients: Aeroflot, Coca-Cola, RusHydro, Yokohama, Sheremetyevo International Airport, Svyaznoy, Euroset, Lukoil etc. High reliability of insurance operations is further supported by reinsurance programs provided by the world’s largest companies: Munich Re, Swiss Re, Hannover Re, SCOR, GenRe, and also by Partner Re and Lloyd’s of London. Over the years, the company has received numerous awards, including Best Insurance Company of 2014 and 2018, Market Leader in financial risk insurance, the Golden App of 2016 in the largest mobile app contest on the Russian Internet, and more.

https://www.alfastrah.ru/en/company/

Test Drive Our Smart Engines

Free demo apps allow you to experience the power of Smart Engines software for intelligent document scanning in a real-world context.

Why not experience the power of Smart Engines for yourself? Our demo apps allow you to test the capabilities of our identity document recognition software on mobile devices in videostream or in a single image (photo, scan).

Simply display any document to the camera in real-time or choose a photo from the gallery, and the app will recognize and capture the necessary data.

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