Turn repair data into actionable insights. Forecast part demand and repair volume, detect trending repair categories, benchmark location performance, measure technician efficiency with first-time fix rates, and prepare voice summaries for morning briefings.
Available during early release on the Free plan and every Pro account.
Repair Intelligence sits in the Repair layer of LuperIQ and focuses on Forecasting, BI dashboards, demand prediction, and performance metrics. For a site owner, the practical value is not the module name by itself; it is whether Part demand and repair volume forecasting, Trend detection (rising/falling/stable), and Location performance metrics becomes easier to manage in the real customer or admin path.
For pricing and setup, the useful context is Free and Pro and the place the owner will likely manage it is Repair OS. Those details help the reader understand the module without turning the page into a technical inventory.
Repair Intelligence works best when Work Orders, Serialized Inventory, and Device Catalog are already understood, because those surrounding tools shape where the data, settings, or customer actions will land.
Repair Intelligence is documented as a practical module first. If the owner is evaluating AI help around the same area, the safer next step is to start in the Repair OS admin area and only add AI when there is a real task to run.
This module is documented first around the module itself. Public AI workflow pages are focused on the currently fixed-price credit jobs registered in Nexus.