{"slug":"launchmetrics-uses-generative-ai-to-cut-brand-analytics-prototype-development-from-5-months-to-weeks","url":"https://findausecase.com/use-cases/launchmetrics-uses-generative-ai-to-cut-brand-analytics-prototype-development-from-5-months-to-weeks","title":"Launchmetrics uses generative AI to cut brand-analytics prototype development from 5 months to weeks","description":"Launchmetrics, an AI-driven marketing analytics company for the fashion, lifestyle, and beauty sectors, uses Amazon Bedrock generative AI in a two-step process: first using machine learning to identify keywords describing brands across tens of millions of chunks of online text, then using large language models to score identified trends against brand dimensions and translate the analysis into narratives marketing professionals can understand without data science expertise. Using generative AI on AWS, Launchmetrics sped up prototype development from as long as 5 months to just a few weeks, and gained the ability to generate synthetic data sets for brands with little online presence, allowing it to move from managing hundreds of brands with AI to thousands.","company":"Launchmetrics","industry":"Media & Entertainment","aiCapabilities":["Generative AI","Machine Learning","Large Language Models"],"technology":["Amazon Bedrock","Amazon S3"],"deployment":"Unknown","problemStatement":"Businesses do their best to align customer perception with brand intention, but billions of people are constantly reevaluating brands online, which can make it difficult for marketers to know how their companies are perceived.","solutionApproach":"Launchmetrics designed a two-step process on Amazon Bedrock: first using ML to identify keywords used to describe brands online by processing tens of millions of chunks of text, then using LLMs to score identified trends by connecting them to brand dimensions, and finally using generative AI to turn insights into a story marketing professionals can understand without data science expertise.","businessValue":"Launchmetrics sped up prototype development from as long as 5 months to just a few weeks while increasing the quality of its supervised learning tools, and gained the ability to create synthetic data sets for new brands with little online presence, moving from managing hundreds of brands with AI to thousands.","evidence":{"band":"high"},"sourceUrl":"https://aws.amazon.com/solutions/case-studies/launchmetrics-case-study/","dates":{"publishedAt":"2026-09-15T09:05:31.217Z","publishedAtSource":"pipeline","updatedAt":"2026-09-15T09:05:31.217Z"},"license":"Open for reading and citing with a link to https://findausecase.com/use-cases/launchmetrics-uses-generative-ai-to-cut-brand-analytics-prototype-development-from-5-months-to-weeks. Bulk republication requires permission."}