Document Classification for easy data retention and recovery
August 26, 2026Engineering Team
About the client:
The Client is a US-based organization, working in the Knowledge management area. They also have good work going in Machine learning and have some really good solutions around it.
Challenges :
The client operates in the content management space and needed to process a huge volume of documents. These documents had to be classified manually and stored in AWS S3 buckets, which was time-consuming and required additional effort.
Some of the key challenges included:
- Data Retention and Recovery
- Usability of existing data
- Content Security and Digital Rights Management (DRM)
- Enterprise Search and Analytics
- Enhancements to the existing Content Management System (CMS)
- Globalization: Delivering knowledge assets seamlessly across the globe
Our Solution:
To address these challenges, LogiQuad proposed an Automated Document Classification solution designed to optimize AWS S3 document management.
Our experts studied the provided sample files and created rule-based CSV files containing weighted word phrases. These were stored in an S3 bucket and processed using AWS Lambda functions.
- Lambda Function 1: Reads file names from the unclassified S3 bucket and generates a CSV file of stored files. This is executed via a scheduled cron job.
- Lambda Function 2: Processes files using the ruleset, determines the category with the highest score, and automatically moves the document to the correct S3 category folder. The classification is also updated in the CSV file.
To make management easier, LogiQuad also recommended using their S3 Browser Tool, which simplifies browsing and organizing classified files directly within AWS infrastructure.
Architecture:
Business Benefits/Outcome:
With Document Classification for Easy Data Retention and Recovery, LogiQuad enabled the client to achieve:
- 45% higher productivity through automation
- Significant cost savings by reducing manual classification efforts
- Improved data recovery and retention efficiency
- Reduced cycle times for document operations
- Higher accuracy by eliminating human error
- Freed up employees’ time to focus on strategic tasks instead of repetitive manual work
By integrating AWS services with LogiQuad’s automation expertise, the client now enjoys a scalable, global-ready content management workflow.
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