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Automated AI-Driven Document Tagging and Search Optimization System

firstlinesoftware.com

Advertising & marketing

Retail

Publishing

Healthcare

Challenges in Marketing Material Management

Users struggle to locate specific products in extensive catalogs due to mismatched search terms, while critical information in document attachments remains underutilized. Manual tagging of marketing materials is time-consuming, error-prone, and inefficient.

About the Client

A prominent U.S.-based marketing solutions company serving diverse industries, renowned for quality and customer service, with clients including Uniqlo and Denny’s.

Goals for Enhanced Marketing Material Management

Automate keyword and concept tagging for marketing materials to improve search accuracy
Reduce manual labor and human error in document management
Enhance product discoverability and user satisfaction
Support scalability for growing marketing material volumes
Integrate AI-driven analytics for data-driven marketing strategy refinement

Core System Functionalities

Automated OCR and keyword generation using GenAI
Multi-format document processing (PDF, DOC, PPT, JPEG, PNG)
Searchable database integration for marketing materials
User interface for keyword review and approval
Background job for legacy document processing
Usage monitoring dashboard for Azure resources

Technology Stack

OpenAI models

Azure Functions

.NET Framework

AWS S3

Generative AI (GenAI)

System Integrations

AWS S3 storage for document ingestion
Existing .NET web application
Azure usage monitoring APIs

Non-Functional Requirements

High scalability for processing large document volumes
Secure handling of sensitive marketing data
Low-latency keyword generation
User-friendly interface for tag management
Cost-effective GenAI implementation

Transformative Impact on Marketing Operations

This solution will reduce document processing time by 90%, enabling faster marketing material deployment, lowering labor costs, and improving search accuracy. Enhanced discoverability of products and data-driven insights from tagged materials will directly support revenue growth and operational efficiency.