Custom engineering reports took 6 months to build. Now, warehouse staff use conversational AI to instantly query fulfillment data.
A global distributed order management software provider serving enterprise retailers who process billions of dollars in revenue across physical and digital storefronts.
Retail customers were data rich but insight poor, relying on rigid legacy business intelligence systems. When managers needed to understand...
“We've built our entire business around allowing a better level of flexibility and composability than our competitors. Our customers want to be in the driver's seat of how they drive their business, and Looker was the first big part of opening that door for us.”
Cloud-native distributed order management platform for retailers and brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Fluent Commerce's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Business teams waited days for dashboards; every query routed through analysts. Now anyone asks in plain language and gets answers directly.
25,000 builds a day, each failure a 30-minute log hunt. AI now delivers targeted fixes to Slack and the IDE—under 5 minutes.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Fragmented vendor feeds obscured matching items. Now, AI pipelines parse millions of unstructured records into curated collections.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
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.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
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.
Custom engineering reports took 6 months to build. Now, warehouse staff use conversational AI to instantly query fulfillment data.
A global distributed order management software provider serving enterprise retailers who process billions of dollars in revenue across physical and digital storefronts.
Retail customers were data rich but insight poor, relying on rigid legacy business intelligence systems. When managers needed to understand...
“We've built our entire business around allowing a better level of flexibility and composability than our competitors. Our customers want to be in the driver's seat of how they drive their business, and Looker was the first big part of opening that door for us.”
Cloud-native distributed order management platform for retailers and brands.
Cloud computing services, AI infrastructure, and data analytics platforms for enterprises.
Fluent Commerce's Self-service analytics is part of this use case:
Related implementations across industries and use cases
Business teams waited days for dashboards; every query routed through analysts. Now anyone asks in plain language and gets answers directly.
25,000 builds a day, each failure a 30-minute log hunt. AI now delivers targeted fixes to Slack and the IDE—under 5 minutes.
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Fragmented vendor feeds obscured matching items. Now, AI pipelines parse millions of unstructured records into curated collections.
Keyword search failed on complex vehicle queries. Now, an AI pipeline rewrites messy questions to power shopping and service assistants.
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.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
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.