AI Copilots for Data Driven Brand Management
summary
The Regular Brand scrapes thousands of websites and scores text, images and style (fonts, colors, logos) to quantify brand similarity, using embeddings and large language models plus prompt engineering and majority-vote stability checks. A generic scraper gathers open web data, results run on models swapped in a Kubernetes deployment and feed BI tools like PowerBI. A ZEISS case study benchmarks the top 25 companies in five industries, surfaces regional and unit inconsistencies (China vs global, employer vs business) and yields concrete remediation actions.
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chapters (8)
- 0:00AI Copilots in brand management
- 1:58Regular Brand Platform
- 3:02Sick AG brand analysis
- 6:55Self-image in brand communication
- 9:03Data processing deep dive
- 13:59Model selection and prompts
- 15:24Regular Brand expansion plans
- 17:00Q&A
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