What challenges did Competiscan face before AI implementation?

Process 35,000–45,000 marketing campaigns daily. Maintain a searchable archive of 45 million campaigns spanning 15 years. Replace manual or bottlenecked document processing with scalable automated extraction.

What was the impact of the AI solution?

85% classification and extraction accuracy across diverse marketing materials. Scaled to handle 35,000–45,000 daily campaigns. Removed critical bottlenecks, facilitating business growth. Production deployment in 8 weeks from initial concept.

Source

Competiscan IDP at scale using Amazon Bedrock + Amazon Textract (GenAI IDP Accelerator example)

Use case typeIntelligent document processingUpdated Jun 13, 2026

Competiscan, a competitive marketing intelligence company, needed to process 35,000–45,000 marketing campaigns daily while maintaining a searchable archive of 45 million campaigns spanning 15 years. The article describes the GenAI IDP Accelerator, a serverless document-processing solution on AWS that combines Amazon Bedrock Data Automation, Amazon Textract, and AWS Step Functions for OCR, classification, extraction, validation, and evaluation. Competiscan used the accelerator to automate intelligent document processing for diverse marketing materials and deployed the solution in production in 8 weeks from concept.

Organization: Competiscan
Industry: Professional Services
Location: United States
Published: August 2025

Reported outcomes

85%

classification and extraction accuracyQuality & accuracy

35,000 campaigns/daydaily campaign processing capacity45,000 campaigns/daydaily campaign processing capacity upper bound45,000,000 campaignsarchive size8 weeksdeployment time

Strategic outcomes

Scale & capacityScaled campaign processing volumeScale & capacityMaintained searchable archive at scaleSpeed & agilityDeployed in production quicklyNew product / capabilityAutomated intelligent document processing

Catalog median for quality & accuracy deployments: +90% across 282 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 3

1Intelligent Document Processing
2Workflow Automation
3Content Classification

Process 35,000–45,000 marketing campaigns daily.
Maintain a searchable archive of 45 million campaigns spanning 15 years.
Replace manual or bottlenecked document processing with scalable automated extraction.

Deployed the GenAI IDP Accelerator on AWS to automate intelligent document processing.
Used Amazon Bedrock Data Automation and Amazon Textract for OCR, classification, and extraction.
Ran the workflow in a serverless pipeline with AWS Step Functions and Amazon S3.
Used evaluation and human review capabilities to improve accuracy and operational control.

Technologies

Amazon Bedrock Data Automation Amazon Textract AWS Step Functions Amazon S3

85% classification and extraction accuracy across diverse marketing materials.
Scaled to handle 35,000–45,000 daily campaigns.
Removed critical bottlenecks, facilitating business growth.
Production deployment in 8 weeks from initial concept.

Architecture

The solution is a modular, serverless document-processing architecture built on AWS. It uses Amazon Bedrock Data Automation or Bedrock pipeline mode for document understanding and extraction, Amazon Textract for OCR, AWS Step Functions for orchestration, Amazon S3 for storage, and optional human-in-the-loop review, testing, and custom model integration via Lambda hooks.

Sources & evidence1

Groundedness: 4/5Type: Blog PostPublished: Aug 22, 2025Publisher: AWSEvidence: VendorConfidence: Medium

Primary source

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