Spark ERP

AI · Analytics

Predictive and prescriptive analytics on the data you already have.

AI Analytics runs forecasting, anomaly detection and prioritization over the same live entity model the Data Platform already reads — so the numbers it surfaces are grounded in your current records, not a separate export.

AI Analytics in Spark ERP Your ERP dataModel providerPermissions Human approvalProposes Audit trailAsk or trigger
AI Analytics and its guardrails
Your ERP dataModel providerPermissionsAudit trailHuman approvalAI Analytics
How AI Analytics works with you
Ask or trigger

A user request or event

1
Grounded

Uses your own records

2
Proposes

A draft, not a silent change

3
You approve

Within your permissions

4
Logged

Recorded for audit

5

What AI Analytics surfaces

A few of the questions it is designed to help answer, across modules:

Revenue and demand signals

Which products or regions are trending away from forecast, and by how much.

Cash flow projection

A forward view of expected cash position based on open receivables, payables and commitments.

Inventory risk

Which items are trending toward a stockout or overstock given current velocity.

Workforce risk

Teams or roles showing attrition or capacity-risk signals worth a manager's attention.

Same data, same permissions

Analytics runs on top of the Data Platform behind Analytics & BI — the same entity model, not a separate copy of your data with its own access rules.

See the reporting platform underneath.

Analytics & BI covers dashboards, reports and the Data Platform that AI Analytics builds on.