LogMRO
logisticsmro.comLogMRO is designed for aviation operators, suppliers, 145 repair stations, and maintenance organizations, providing a configurable Aviation Software platform that can be adapted without programming to suit specific operational requirements. For operators, the system supports maintenance management for both fixed-wing and rotary-wing aircraft, tracking maintenance actions, component lifting, inspections, AD/SB, power checks, and related activities. It also supports maintenance planning, including C and D checks for airliners, with task card scheduling and tracking of associated information and expenses for both routine and non-routine work under differing billing parameters, including alerts when predefined budget levels are reached.
For aviation brokers, stocking suppliers, and 145 repair shops, LogMRO delivers supply chain and repair management capabilities, such as quoting, sales, shipping, invoicing, work order issues, and repair orders. Components can be monitored from receipt through induction, analysis, quotation, manual and QA processes, 8130 documentation, invoicing, and final shipment, covering repair and overhaul from simple components to large turbines, including offsite repairs and travel expenses. Built on newer mobile, cloud-based technology, the system emphasizes traceability and auditability, is FAR-45 compliant, and draws on the provider’s long experience in the field, including the creation of the GOLD and ARMS systems beginning in 1980, with most configuration changes completed in under an hour.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch LogMRO mention score POST /v3/content_analysis/summary { "keyword": "LogMRO", "type": "llm_mentions", "date_from": "2025-01-01" }
