Ad spend data scattered across five tools ate a full week per cycle. Agents now hunt signals, pause ads, and route every action to a human.
A global meal kit company running paid marketing across 8 brands and 16 markets, with media, creative, and finance teams each operating in separate specialized platforms.
Performance data was siloed across Meta dashboards, Figma, Jira, Tableau, and Google Sheets, requiring a full week each cycle just to reconcile...
“We need to safely and quickly turn data and evidence into automated actions.”
Meal kit and ready-made meal delivery service.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
HelloFresh's Ad campaign automation is part of this use case:
Related implementations across industries and use cases
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Campaign performance scattered across a dozen tools, stitched together by hand. MINE collapsed it into a single trusted conversation.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.
Ad spend data scattered across five tools ate a full week per cycle. Agents now hunt signals, pause ads, and route every action to a human.
A global meal kit company running paid marketing across 8 brands and 16 markets, with media, creative, and finance teams each operating in separate specialized platforms.
Performance data was siloed across Meta dashboards, Figma, Jira, Tableau, and Google Sheets, requiring a full week each cycle just to reconcile...
“We need to safely and quickly turn data and evidence into automated actions.”
Meal kit and ready-made meal delivery service.
Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.
HelloFresh's Ad campaign automation is part of this use case:
Related implementations across industries and use cases
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Custom analytics required months of full-stack development. Now, self-serve AI apps connect analysts directly to data models.
Manual segmentation couldn't keep pace. AI agents now predict the optimal message and timing for 75M members.
Native ad tools optimized for platform metrics, limiting spend efficiency. An AI agent now adjusts live campaigns to meet business goals.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Campaign performance scattered across a dozen tools, stitched together by hand. MINE collapsed it into a single trusted conversation.
Translating updates one language at a time bottlenecked distribution. Now, AI drafts multilingual commentary in minutes for editor review.