Reactive maintenance is expensive. You wait for a bearing to scream, a motor to overheat, or a spindle to fail — then you scramble a crew, eat the unplanned downtime, and explain the scrapped batch. Odoo's core Maintenance app gives you time-based preventive schedules and manual requests, but it has no concept of a live sensor reading. It can't know that pump P-114's vibration just crossed 7.1 mm/s, or that conveyor motor M-08 has logged 4,000 runtime hours since its last service. That gap is exactly what this module closes.

Predictive Maintenance (IoT Sensor-Driven) is a net-new Odoo module that ECOSIRE designs, builds, installs, and supports for you. It turns your instrumented machinery into a self-monitoring fleet: meter readings stream in (via XML-RPC/JSON-RPC from your PLC gateway, MQTT bridge, or a scheduled CSV/API poll), threshold rules evaluate them continuously, and when a condition trips, Odoo automatically creates a maintenance.request on the right equipment, assigned to the right team, at the right severity — no human watching a dashboard required.

Because this is real Odoo, everything lives inside your ERP where the rest of the business already works. The module extends maintenance.equipment with a new maintenance.meter model for readings and a maintenance.threshold.rule model for the logic. Rules are stored records — not hard-coded — so your maintenance planner can add "temperature > 85 C for 3 consecutive readings" without a developer. Equipment health is a @api.depends-driven computed score you can sort, filter, group, and drop onto a kanban or dashboard. Alerts escalate through Odoo's native activity and messaging system (the chatter you already use), and every reading, breach, and generated work order is auditable.

We ground the build in proper Odoo engineering, not a bolt-on script: a clean __manifest__.py declaring dependencies on maintenance (and optionally mrp for manufacturing plants); ORM models with typed fields; compute methods decorated with @api.depends; access control via ir.model.access.csv plus record rules so an operator sees only their plant's equipment; XML views (list, form, kanban, graph, pivot) and OWL components for the live health board; QWeb reports for maintenance history and MTBF summaries; ir.cron jobs and Odoo automated actions to poll meters and fire escalations; and an XML-RPC/JSON-RPC ingestion endpoint so any sensor gateway can push data. It runs on Odoo 17, 18, and 19, and works on both Community and Enterprise (Enterprise's IoT Box, if you have it, is one supported input path — but nothing here requires it).

This is build-to-order: after purchase, an ECOSIRE Odoo engineer scopes your equipment, sensor types, and rules with you, then delivers a fully configured module tuned to your plant — typically in one working week. It is not an instant download from apps.odoo.com. You get the source, the config, documentation, training, and a support window (details below).