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.
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.
