AI for Brand Logo Migration Post-Acquisition

Gen AI helped a manufacturing company update their brand logo across 2 M+ documents spanning 15 different document management systems. Using AI, our client was able to migrate logos in 3 weeks instead of the projected 8 months.

Problem Statement

Our client, who recently acquired another company, faced brand consistency challenges post-acquisition. They had more than 2 million documents requiring logo updates. Documents were stored in different systems across geographies and had multiple file formats: PDF (45%), Word (28%), PowerPoint (15%), Excel (8%), and others (4%).

Our Solution

Our AI solution used computer vision to help the client migrate logos across its company documents.
  • Document Discovery and Classification – Deployed AI scanning tools to identify and categorize documents containing the old logo, creating an intelligent classification system that considered document type, logo placement, regulatory requirements, and business criticality.
  • AI Model Development – Custom computer vision model helped detect logo variations, assess quality, and determine positioning. We also implemented automated quality assurance protocols and parallel processing capabilities.
  • Automated Update Process – We implemented a batch processing handling 100,000 documents daily with an automated workflow for logo detection, quality assessment, replacement execution, and version control. ## Results

Business Benefits

Our client was able to maintain brand consistency across all its documents and collaterals leading to:
  • Processing 2 M+ documents in 3 weeks
  • 99 % accuracy rate in logo replacement
  • $2.5 million in cost savings from this initiative
We have packaged the AI-driven reusable framework for M&A branding updates aimed at helping enterprises with brand standardization across company documents.
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