Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
A Brazilian cosmetics giant relies on a vast direct sales network of consultants to connect with millions of customers across multiple countries.
Critical engagement metrics were scattered across legacy systems, forcing analysts to manually query sources and merge data in Excel. This process...
“Databricks helped us transform from manual reporting to automated, GenAI-powered insights. What once took weeks now takes days — giving us the speed to act and improve results across our global CRM network.”
Manufacturer and retailer of sustainable, vegan beauty and personal care products.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Typos like "kayaks" for "Kaiak" used to cost sales. GenAI now interprets phonetics to find the right products for 1M+ consultants.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Siloed data forced manual reviews of thousands of reports. AI agents now analyze sales volumes and SKU performance instantly.
Manual research took weeks per product. Gen AI now automates analysis across portfolios, driving a 21% revenue surge.
Manual media analysis and ad localization bottlenecked campaigns. Now, AI drafts insights and localizes assets for human refinement.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.
Analysts spent days manually merging data. GenAI now generates localized campaign summaries for 20 audiences across six countries.
A Brazilian cosmetics giant relies on a vast direct sales network of consultants to connect with millions of customers across multiple countries.
Critical engagement metrics were scattered across legacy systems, forcing analysts to manually query sources and merge data in Excel. This process...
“Databricks helped us transform from manual reporting to automated, GenAI-powered insights. What once took weeks now takes days — giving us the speed to act and improve results across our global CRM network.”
Manufacturer and retailer of sustainable, vegan beauty and personal care products.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
Related implementations across industries and use cases
Typos like "kayaks" for "Kaiak" used to cost sales. GenAI now interprets phonetics to find the right products for 1M+ consultants.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Siloed data forced manual reviews of thousands of reports. AI agents now analyze sales volumes and SKU performance instantly.
Manual research took weeks per product. Gen AI now automates analysis across portfolios, driving a 21% revenue surge.
Manual media analysis and ad localization bottlenecked campaigns. Now, AI drafts insights and localizes assets for human refinement.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Data scattered across systems forced generic content. Now, AI agents surface personalized stats and videos via chat during live matches.
Rigid search rules forced endless manual tagging sprints. Now, ML classifies products at ingestion to match natural shopper language.