Case Study
Software Development for Accounting Process Automation
FiftyFive developed an AI-driven solution to automate document processing and accounting workflows, improving efficiency and reducing costs.
FiftyFive developed an AI-driven solution to automate document processing and accounting workflows, improving efficiency and reducing costs.
The client faced challenges with manual accounting processes, which led to inefficiencies and errors. They partnered with FiftyFive Technologies to automate document management and accounting workflows. The goal was to streamline processes, improve accuracy, and enable real-time decision-making using AI-driven technologies.
1. Insufficient data for training deep learning models, affecting document recognition accuracy.
2. Difficulty in achieving high accuracy with object detection models for financial document processing.
3. Manual data entry into Tally and physical files caused redundancy and delays.
4. Slow retrieval of financial records and high error rates in manual processes.
5. Excessive paper dependency conflicting with sustainability objectives.
6. Lack of real-time visibility into financial operations, impacting decision-making speed.
1. Applied deep learning and computer vision to enhance object detection and document processing accuracy using image augmentation.
2. Optimized OCR performance for accurate data extraction from multiple document formats.
3. Integrated NLP techniques for ensuring accurate formatting of extracted data.
4. Developed a custom web and mobile app using Flutter, Dart, React, TypeScript, Java, and Spring Boot to centralize financial operations.
5. Built a unified database with advanced indexing for real-time document retrieval and search.
6. Automated workflows to eliminate manual data entry, streamlining the accounting process and reducing human error.
7. Incorporated real-time dashboards to enhance decision-making and business insights.
The solution improved document processing efficiency with 95% accuracy in data extraction, significantly reducing record retrieval time by over 90%. Manpower costs decreased by nearly 40%, and automated workflows allowed staff to focus on more strategic tasks. The transition to a digital-first approach eliminated paper dependency, aligning with the client’s sustainability goals. Real-time dashboards facilitated faster, data-driven decision-making, setting the stage for scalable growth and future AI-driven analytics.
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