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AI insights

Rule-based hub exceptions today; ML recommendations later

In the connected system

One example of how this module shares data with the rest of your organization — no exports or duplicate entry.

  1. 1Inventory

    Below-par pattern triggers a queue exception.

  2. 2Portal

    Rule-based signal lands with operator context.

  3. 3Portal

    GM acts or dismisses — no unattended automation.

Overview

The portal hub surfaces cross-module exceptions today using rule-based signals (inventory, labor, payroll, compliance, AP). Proactive machine-learning recommendations are on the roadmap — not sold as a live AI product.

Key capabilities

Rule-based exception hub (today)

Par, labor, onboarding, and AP items land in the same GM queue.

Cross-module inputs (today)

Scheduling, inventory, vendors, and finance feed shared exceptions.

ML recommendation feed (roadmap)

Pending/accepted insights with model scoring — planned, not live.

Approval policies (roadmap)

Confidence and cost thresholds before auto-action — planned.

Example workflows

  • Below-par inventory → queue item → manager reviews PO
  • Labor overstaff vs plan → warning before publish → GM reviews
  • Invoice price variance → exception before finance approval
AI insights in Luminix

Built for

Operating partnersGeneral managersPurchasing leads

Connects with

AI insights is one module on a shared organization — locations, people, and audit trails flow between modules without exports or duplicate entry.

Outcomes

  • Exceptions find you — you do not hunt spreadsheets
  • Actionable context, not a separate AI inbox
  • Human approval stays in the loop

See AI insights in a live demo

We walk through real workflows, multi-location setup, and how this module connects to the rest of your operation.

From $129 / location / month · Free 60–90 day pilot

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