Automated Document Tagging and Content Analysis System for Marketing Material Management

The client’s users face difficulties locating specific products within large product catalogs where product names often do not match search queries. Key information is stored within document attachments which are not fully leveraged during searches. Currently, manual tagging of uploaded marketing materials is labor-intensive and prone to errors, limiting efficiency and growth potential.

A mid-to-large size marketing solutions firm providing campaign management, content distribution, and brand services for diverse industries, seeking to optimize their digital asset management and improve searchability of extensive marketing catalogs.

• Implement an automated system to extract and generate relevant keywords and concepts from marketing documents upon upload.
• Improve search accuracy and speed within extensive product and marketing content catalogs.
• Reduce manual tagging effort to lower labor costs and human error.
• Enable scalable management of marketing assets without proportional increase in manual processing.
• Enhance overall user experience through more relevant search results and faster access to content.
• Establish a foundation for future integration of advanced content analysis and AI-driven insights.

• Content ingestion interface supporting formats such as PDF, DOC, PowerPoint, JPEG, and PNG.
• Automated content analysis leveraging generative AI to extract meaningful keywords, tags, and concepts in a single request.
• Seamless integration with existing web applications and databases for storing and retrieving tagged content.
• User interface component allowing manual review and approval of autogenerated keywords.
• Background processing jobs to update existing documents with new tags without overwriting current metadata.
• Usage monitoring and analytics dashboard to track system performance, usage metrics, and processing costs.

• Content storage services (e.g., cloud storage solutions like AWS S3 or equivalent) for document management
• Client’s existing web content management platform for integration and user access
• Monitoring tools for tracking system usage and performance metrics

• High scalability to handle an increasing volume of marketing documents (e.g., 500+ materials to be processed efficiently)
• Rapid processing times to generate tags within seconds per document
• Secure handling of sensitive content and API keys
• Availability with at least 99.9% uptime for continuous content access
• User-friendly interfaces for review and approval workflows

The implementation of an automated content tagging system is expected to significantly enhance search efficiency, enabling users to locate relevant marketing materials 10 times faster than manual methods. This will reduce manual labor, cut content processing costs, and improve user satisfaction through more relevant search results. Additionally, the system will support scalable growth, enable data-driven marketing strategies, and lay a foundation for future AI-driven innovations, ultimately contributing to increased revenue potential and stronger client relationships.