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
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
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.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
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
Checking market share meant waiting for reports. Now, managers ask a Teams AI bot for instant, governed answers.
Deep dives required formal requests to a small data team. Now, staff ask questions in Slack to spot upsell trends instantly.
Keyword search missed nuance. AI now decodes intent—like "wet" meaning waterproof—to curate items like an in-store expert.
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.
Recruiters juggled disconnected systems while managers fielded candidate calls from the back office. An AI now screens and engages 24/7.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Querying Wikidata required specialized syntax, locking out most AI systems. Vector search now lets LLMs navigate 100M+ entities in plain language.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.