x:0.000
y:0.000
v2.4 — Automated Context Layer config now live

Auto-analyze ERPs and Databases to Reveal Untapped ROI

The New Standard for Enterprise Analytics is Agentic

Lumi’s agentic analytics platform lets data teams automate
the pursuit of valuable business objectives before stakeholders think to ask the question.

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
Find opportunities to improve our pricing strategy. The objective is to increase revenues
Price Elasticity Query
4
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.
4
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

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

Jordan Kuhns, CIO @ Growmark

00:00
Platform Overview
00:27
Prompting & Exploration
02:12
Multi Threaded Analysis
03:30
Identifying the Root Cause
04:47
Trend Analysis Over Time
07:11
Working with Boards
07:55
Insight Summary