Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
The world's largest cosmetics and beauty company operates in over 150 countries with a portfolio of more than 37 international brands.
Employees lacked the technical expertise to analyze complex data independently, often requiring developers to build custom dashboards for single...
“Our auto evaluation capabilities, such as LLM as a judge, have proven many times the superiority of Claude models for a various number of use cases, particularly for the most complex ones.”
Global manufacturer and retailer of cosmetics, skincare, and beauty products.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Analysts couldn't review 40-minute calls. A model now mines transcripts for intent, identifying queries self-service can solve.
Sales reps lost hours logging calls and drafting emails. Now, Claude autonomously updates CRMs and drafts empathetic follow-up emails.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
The world's largest cosmetics and beauty company operates in over 150 countries with a portfolio of more than 37 international brands.
Employees lacked the technical expertise to analyze complex data independently, often requiring developers to build custom dashboards for single...
“Our auto evaluation capabilities, such as LLM as a judge, have proven many times the superiority of Claude models for a various number of use cases, particularly for the most complex ones.”
Global manufacturer and retailer of cosmetics, skincare, and beauty products.
Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
Manual research consumed days. Creatives now build custom agents to synthesize client insights in hours.
Analysts couldn't review 40-minute calls. A model now mines transcripts for intent, identifying queries self-service can solve.
Sales reps lost hours logging calls and drafting emails. Now, Claude autonomously updates CRMs and drafts empathetic follow-up emails.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Manual order entry caused pricing errors and billing disputes. Now, an AI agent flags discrepancies and drafts client emails for staff.
Silos forced a 71-day wait for data. By unifying sources, 4,000 staff now access insights in hours and build models 50% faster.
Central IT couldn't reach the long tail of daily tasks. Now, 50% of staff use opt-in AI to scan contracts and prep for meetings.