Documentation Index
Fetch the complete documentation index at: https://docs.datagenie.ai/llms.txt
Use this file to discover all available pages before exploring further.
The problem
Pricing leakage accumulates slowly: a discount applied one lane at a time, a rebate structure that outgrows its original scope, a cost pass-through that falls behind commodity spikes. None of it shows up as an alarm on a monthly report — until the aggregate impact hits the P&L.What DataGenie autonomously detects
Lane-level margin drift
CM% decline on specific customer × product lanes, ranked by CM$ loss — not just % deviation.
Driver decomposition
DataGenie attributes the change to price, cost, freight, or rebate components automatically.
Baseline-relative anomalies
13-week rolling baselines (or any configurable period) make small drifts visible before they become structural.
Prioritized by $ impact
Impact Score ranking — so the few leaks that move the number are always at the top.
How to operationalize it
Package a Wisdom Skill
“Margin Risk Identifier” — finds customer × product lanes where CM% dropped more than a threshold vs baseline, decomposes drivers, prioritizes by CM$ loss. Invoke with: “Show top 20 margin risks for the Northeast region.”
Validate with Explorer
Use Dimensional Analysis to confirm which segments drive the aggregate number.
Close the loop
Document the corrective action as a Business Event so future anomalies explain themselves.
Relevant features
Wisdom Skills
Package repeatable pricing analyses.
Filter Presets
Scope autonomous detection to pricing-sensitive segments.
Alerts
Route margin anomalies to the right team automatically.