What was the impact of the AI solution?

Cut the cycle for complex data customization from a six-month engineering project to ad hoc business queries. Achieved a 33% adoption rate among customers shortly after rollout.

Source

GCPProductionEvidence: Medium65/100

Fluent Commerce: agentic conversational analytics for retail fulfillment using LookML + embedded agents

Use case typeConversational analyticsUpdated Jul 10, 2026

Fluent Commerce built Fluent Analytics using Looker and LookML to give retailers trusted, embedded conversational analytics for fulfillment operations. The system standardizes 100+ KPIs, grounds agents in a semantic layer, and lets store and warehouse staff ask natural-language questions in the UI. It reduced complex data customization from a six-month engineering project to ad hoc business queries and reached 33% customer adoption shortly after rollout.

Organization: Fluent Commerce
Industry: Retail
Location: Australia
Published: July 2026

Reported outcomes

6 months to ad hoc queries

complex data customization cycleOther quantified impact

33%customer adoption rate

Strategic outcomes

Speed & agilityEnabled ad hoc business querying for operational dataCustomer experience & trustGave store and warehouse staff immediate data-backed answersBetter decisions & insightGrounded AI recommendations in a trusted KPI semantic layer

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Complex data customization cycle: 6 months to ad hoc queries decrease

Google Cloud Customer StoryJul 10, 2026Customer storyInferred claimMedium evidence strength

Reduced the cycle for complex data customization from a six-month engineering project to ad hoc business queries

Normalized claim

Customer adoption rate: 33%

Google Cloud Customer StoryJul 10, 2026Customer storyExplicit claimMedium evidence strength

the platform achieved a remarkable 33% adoption rate among customers

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Fluent Commerce
Provider: GCP
Maturity: Production
Linked source: Google Cloud Customer Story

Legacy BI required weeks or months to customize data views and answer operational questions

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 2 of 2

1Conversational analytics
2Workflow automation

Retailers were data rich and insight poor.
Legacy BI required weeks or months to customize data views and answer operational questions.

Built a semantic modeling layer with LookML for trusted metrics.
Embedded conversational analytics agents directly in the UI.
Used MCP toolbox to build agents and enable immediate insights-to-action workflows.

Technologies

LookML Looker MCP

Cut the cycle for complex data customization from a six-month engineering project to ad hoc business queries.
Achieved a 33% adoption rate among customers shortly after rollout.

Architecture

Fluent Commerce used LookML as a semantic layer to standardize more than 100 KPIs and ground conversational analytics agents embedded in the Fluent Analytics UI. The implementation uses the MCP toolbox to build agents that let store and warehouse staff ask natural-language questions and immediately act on and report results from the same data stream.

Sources & evidence1

Evidence: Medium65/100Evidence strength