Business teams waited days for dashboards; every query routed through analysts. Now anyone asks in plain language and gets answers directly.
A comprehensive style commerce platform spanning fashion, beauty, and lifestyle, with AI deployed across personalized recommendations, advanced search, review moderation, and automated curated promotions.
Data exploration, model training, and operations ran in separate, disconnected environments, undermining model performance and service quality....
“With Databricks, we were able to turn data and AI into a core competitive advantage for the company, and now more of our people make faster decisions with data. Data is no longer the domain of a few experts—it has become an asset for the entire company.”
Online fashion marketplace operating platforms Zigzag and Posty.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
KakaoStyle's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Custom engineering reports took 6 months to build. Now, warehouse staff use conversational AI to instantly query fulfillment data.
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Business teams waited days for dashboards; every query routed through analysts. Now anyone asks in plain language and gets answers directly.
A comprehensive style commerce platform spanning fashion, beauty, and lifestyle, with AI deployed across personalized recommendations, advanced search, review moderation, and automated curated promotions.
Data exploration, model training, and operations ran in separate, disconnected environments, undermining model performance and service quality....
“With Databricks, we were able to turn data and AI into a core competitive advantage for the company, and now more of our people make faster decisions with data. Data is no longer the domain of a few experts—it has become an asset for the entire company.”
Online fashion marketplace operating platforms Zigzag and Posty.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
KakaoStyle's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Custom engineering reports took 6 months to build. Now, warehouse staff use conversational AI to instantly query fulfillment data.
Every data question sat in a central team's queue — their capacity the ceiling on business speed. Now any teammate asks in plain English.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.