AMOS is a Computerised Maintenance Management System (CMMS) developed by SpecTec, widely used across the commercial shipping industry to manage planned maintenance, spare parts, procurement, and crew activities on board vessels and in fleet management offices. It is one of the most widely deployed maritime CMMS platforms globally, used by shipowners, technical managers, and fleet operators across all vessel types — bulk carriers, tankers, container ships, offshore support vessels, and passenger vessels.
At its core, AMOS manages the planned maintenance system (PMS) for each vessel in a fleet, scheduling maintenance tasks against equipment, triggering work orders for crew execution, and recording maintenance history. It also manages the spare parts catalogue for each vessel — the structured list of components, consumables, and assemblies that maintenance teams rely on to execute maintenance and keep equipment operational.
AMOS is built around an equipment hierarchy for each vessel, linking each piece of equipment to its position in the vessel’s system structure, its associated maintenance tasks, and its required spare parts. The quality of the data that populates this structure — equipment descriptions, maker names, part numbers, maintenance intervals, and spare parts specifications — determines directly whether AMOS can perform the functions it was designed to deliver.
The most common reason AMOS fails to deliver expected value is not a software problem — it is a data problem. AMOS is a system that operates on the data it contains. When that data is incomplete, inconsistent, or incorrectly structured, the system cannot perform the functions that maintenance and procurement teams depend on.
The most frequent AMOS data quality issues seen in practice include:
These problems compound over time. Crew and superintendents develop manual workarounds — contacting suppliers directly, using personal knowledge rather than system data, ordering from intermediaries at premium prices — and the root cause is never addressed. The result is an AMOS system that looks populated but cannot support the automation, procurement efficiency, and maintenance reliability it was designed to enable.
Improving AMOS data quality requires a combination of maritime industry expertise, knowledge of OEM naming conventions across the equipment categories found on commercial vessels, and a structured approach to data cleansing, data enrichment, and data cataloguing at scale.
Sharecat Data Services works exclusively in heavy and complex industries, including shipping and maritime operations. The team understands the equipment categories found on commercial vessels — propulsion systems, auxiliary machinery, deck equipment, navigation systems, safety systems, and hull equipment — and the manufacturers and suppliers that serve them. This means data quality issues that a general provider would miss — a model number in a part number field, an OEM name entered as a distributor name, a maintenance interval that does not match the maker’s requirements — are identified and corrected.
Sharecat Data Services’ proprietary reference database of approximately one million verified manufacturer names, part numbers, and model numbers covers the supplier landscape relevant to commercial shipping. The result is an AMOS system populated with accurate, complete, and verified data — enabling planned maintenance to run reliably, procurement to operate automatically, and fleet-wide reporting to reflect the true state of maintenance performance. Every engagement includes a before-and-after statistical comparison, and all corrected data is delivered in the exact format required for direct loading into AMOS.
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