Developed by Otraco and installed in over 80 operational sites worldwide, Otracom is an internationally recognised Tyre Management System (TMS). Providing a comprehensive, real-time solution for managing tyres, rims and chains fitted to heavy vehicles, Otracom integrates with tyre-pressure monitoring systems (TPMS), fleet management and ERP systems. Delivered as part of Otraco’s complete Tyre Management Solution, Otracom can also be purchased via subscription for non-Otraco maintained sites.
Enabling customers to operate a central asset management system, Otracom collects data from multiple operational sites delivering consistent, reliable analysis and reporting that captures valuable history as well as forecasting future requirements.
User-friendly and available in multiple languages, Otracom is supported across Australia, South Africa and Chile.
Combining the detailed data interfaces of Otracom with the convenience of a mobile app, Otracom Mobile enables tyre technicians to capture data in the field and upload to Otracom. Saving time, reducing paperwork and improving reporting accuracy, Otracom operates on Apple iOS and Android platforms.
The latest mobile app has a number of key functions including: recording of fleet inspection data, entering of tyre and rim changes during maintenance sessions, receipt of new tyre equipment and stocktake.
As a standalone device, tyre technicians can record data anywhere, anytime and upload to centralised systems via network connections when available.
Otracom is currently being upgraded to incorporate the Neuroverse™ software platform. This will enable rapid implementation of Internet of Things (IoT) solutions, ingesting data from devices and traditional data sources alike, extracting valuable insights and presenting these in real-time via interactive dashboards.
In addition, new data sources such as Bureau of Meteorology rainfall and temperature data, will be added to the many sources of relevant operational performance data for Business Intelligence analysis, reporting and predictions through machine learning.