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Now live: Automated Context Layer config

Auto-analyze ERPs and Databases to Reveal Untapped ROI

Lumi's agentic analytics platform connects to all your data sources, automatically builds your semantic layer, and proactively surfaces the opportunities hiding in your data.

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DATA SOURCES

Databases

Data Warehouses

ERPs

Unstructured Data

CONTEXT LAYER

Semantic Models

Entities & Relationships

Metrics & Definitions

Business Logic

Tribal Knowledge

User Feedback

Access Control

AGENTIC_ANALYTICS

Find opportunities to improve our pricing strategy. The objective is to increase revenues

On it. I’ll first generate a query to analyze price elasticity by category

Price Elasticity Query

SELECT
sales_line.item_id,
sales_line.year-month,
SUM(sales_line.quantity) AS total_units_sold,
SUM(sales_line.transaction_amount) / NULLIF(SUM(sales_line.quantity), 0) AS average_monthly_price
FROM
sales_line
JOIN
promotion.promotion_start_date,
promotion.promotion_end_date,
SUM(sales_line.quantity) AS total_units_sold,

Okay great. The query works. Will now generate a visual

Pricing Data Visual

Across 5 categories, 68% of SKUs have untapped pricing potential — with Rings and Jewelry showing the largest revenue upside from targeted reductions.

by Mary

Which Rings SKUs should I raise prices on, and by how much?

What's the total revenue impact if I action all Raise Price recommendations?

Thank you! Your submission has been received!

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Please review results; Lumi AI may make mistakes or misrepresent data.

INSIGHTS

Hey Jeremy,   

We identified a subset of high-volume SKUs (top 1%) where a small price reduction could materially increase units sold and drive a 9% revenue upside.

ALERTS

Recommendations sent to stakeholder.

TRUSTED_BY

Lumi’s ability to de-average and re-aggregate down to store-item impacts makes it far more efficient.

Read the Case Study

It was obvious during the pilot that Lumi could take care of a lot of the challenges. You could just ask.

Read the Case Study

Lumi identified $60M in additional revenue by targeting customers most likely to shift to higher AOV transactions.

Read the Case Study

OUTCOME_DRIVEN_ANALYTICS

Lumi AI users have identified over $150M of value-driving insights with autonomous analytics workflows

Configure Lumi to hunt for opportunities around metrics that matter. Define objectives around increasing revenues, decreasing costs, or freeing up working capital, and its agentic workflows spring into action. Self-service analytics is the starting point. Proactive analytics is the final destination.

Kroger finds seven figures of unfulfilled demand in OvS

"Lumi's ability to de-average and reaggregate down to store-item impacts makes it far more efficient than anything we had before."

Demand Planning

Chalhoub identifies $60M opportunity to increase shopper AOV

“ We identified a cohort of prime candidates for conversion to omni-channel that were not previously visible.”

Shopper Cohort Analysis

Sapphire reduces material procurement costs by 38%

“Lumi allowed us to improve procurement efficiency by ordering more from cost-effective vendors.”

Procurement Optimization

HOW IT WORKS

An integrated solution for self-service analytics and proactive insight creation

01 / Build a rich context layer in minutes

Use Magic Wand to auto-generate semantic models tailored to your data model and objectives.

02 / Give every team self-service data access

Enable conversational analytics for the whole business, with guardrails set by your data team.

03 / Reveal opportunities dashboards miss

Set objectives and let Lumi autonomously analyze operational data for hidden opportunities.

04 / Pin, auto-refresh, and share insights

Save any finding to a board that stays current without a dashboard request for collaboration and sharing.

Agentic analytics empowers the business user to explore & frees up the data team to work strategically

Jordan Kuhns, CIO @ Growmark

ENTERPRISE_READY

Built for the security standards data leaders require

SOC 2 compliant with enterprise-grade access controls, so your team moves fast without compromising governance.

SOC 2 Type II compliant

Independently audited security controls

Isolated private tenants

Your data never touches other customers' environments

Role-based access controls

Enforce data permissions at the user level

Data stays in your network

Private gateways keep data within your boundary

WHAT_TEAMS_SAY

Data & business teams both love using Lumi

Whether it’s for conversational self-service analytics at scale, agentic workflows to cut analysis time by a factor or ten, or uncovering new opportunities hidden in large operational datasets.

"It was obvious during the pilot that Lumi could take care of a lot of the challenges. You could just ask."

Jordan Kuhns, Chief Information Officer | Growmark

Learn More

"Analyzing this volume of data is very time-consuming. Lumi’s ability to de-average and re-aggregate down to store-item impacts makes it far more efficient."

Lyle O’Banion, Demand Planning | Kroger

Learn More

Lumi identified $60M in additional revenue that could be generated if easily convertible customers made just one of their yearly purchases in person instead of online.

Analytics Manager | Chalhoub Group

Learn More

Ready to see what's buried in your data?

Most teams find their first seven-figure opportunity within 30 days of deployment.

Request Demo

Auto-analyze ERPs and Databases to Reveal Untapped ROI

The New Standard for Enterprise Analytics is Agentic

Lumi AI users have identified over $150M of value-driving insights with autonomous analytics workflows

An integrated solution for self-service analytics and proactive insight creation

Agentic analytics empowers the business user to explore & frees up the data team to work strategically

Built for the security standards data leaders require

Data & business teams both love using Lumi

Ready to see what's buried in your data?

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