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TCB Infotech | Expert Odoo & ERPNext Implementation Partner

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Predictive Maintenance Features

What Is Inside Predictive Maintenance

It is a working AI service tied to your machines and your ERP, not a dashboard you have to watch. Here is what it reads, what it predicts, and how a warning turns into a scheduled repair.

Core Features

From machine signals to a scheduled repair

Signal and ERP Monitoring

It reads the machine and the ERP together

The service pulls in vibration, temperature, load and run hours from your machines and sensors, and joins them with maintenance history and ERP records like work orders and downtime. It learns each machine's normal range instead of using a generic threshold.

  • Sensor and machine controller signals.
  • Maintenance history and ERP work orders.
  • Each machine's own normal running range.
Machine sensor data joined with ERP records
Failure Prediction with Lead Time

It tells you which machine and roughly when

Instead of a single alarm, the model gives a health reading per machine and an estimate of how long you have before it is likely to fail. That lead time is what lets you plan the repair rather than scramble when the line stops.

  • A health score for each machine.
  • An estimate of time before likely failure.
  • The signals behind each warning, in plain terms.
A predicted machine health reading with lead time
Scheduled, Not Reactive

A warning becomes a planned work order

Each prediction turns into a maintenance task your team can slot into a shift that suits the plan. The warning lands where your maintenance team already works, so it drives action instead of sitting in yet another tool nobody checks.

  • Predictions raised as clear work orders.
  • Repairs planned into low-cost windows.
  • Warnings in the tools your team already uses.
A maintenance work order scheduled from a prediction
What You Get

Everything the service delivers

📡

Condition monitoring

Every tracked machine watched in the background against its own normal range, around the clock.

🔧

Failure prediction

A health reading and an estimated time to failure for each machine, so you know where to look first.

📋

Automated work orders

Warnings raised as maintenance tasks with the machine, the likely issue and a suggested window.

📊

Health and downtime view

A simple view of machine health, open warnings and downtime, tied back to your ERP data.

🧩

Model-agnostic build

The AI approach that fits your machines, trained on your own history, with no vendor lock-in.

🔄

Learning over time

Every confirmed failure and repair feeds back in, so the predictions get sharper as it runs.

See What Predictive Maintenance Would Cover for You

Book a free consultation. We will walk through your machines, the data you already collect and your ERP, and scope predictive maintenance for your floor.

Book a Free Consultation →