optimiSeD document workflow with the aid of machine learning

 The team needed to deliver a business-critical online proctoring solution. Key improvement areas included migrating to a modern communication tech stack, automating workflows, and supercharging monitoring efficiency.

To cope with loosely defined requirements and innovative project nature, the team followed a predictable Scrum-based workflow to ensure on-time and on-budget value delivery.

data capture and ML consulting services to map out the way to a custom ML-powered financial solution

Our consultants revised the existing solution and proposed the following changes and approaches:

• OCR tax analysis. We proposed to use an open-source tool Tesseract or better ABBYY software as an alternative. High-quality OCR software is the core part of the system since it ensures an effective process of recognizing tax forms and invoices and more accurate output.

We offered the development of a combined system to enable the following capabilities after the OCR stage is finished:

• Employ a rule-based approach to extract necessary fields without using ML (for instance, extract data from IBAN)
• In the extracted text, use ML to classify words, keywords, phrases, symbols, and other elements into separate classes, such as total, goods, date, sender, recipient, etc. (we described the data markup scheme, as well).

Also, we suggested replacing an open-source Tesseract with another solution that would yield better recognition output. We offered to combine a template approach used by the Client before with ML algorithms.

• Our expert team provided consulting services on improving the existing solution for processing corporate documents of different types. We resulted in providing a viable roadmap to success.

a viable roadmap to success in using ML for data capture

Alfa Xprienz consulted the Client on the possible enhancement of the existing document processing software. Our team offered methodologies for the Client to acquire an OCR software for recognition and processing of invoices and tax returns with the use of machine learning.

The solution delivered help to automate related financial document processing operations, upgrade customer experience, and promote efficiency growth.

• Our consulting on building and OCR tax recognition and processing app provided the Client with necessary assistance in solving complicated ML implementation issues. We have worked out a guide on building an ML-led data capture solution in line with specific needs and expectation
• Advanced reporting capability required was also enhanced in meeting compliance