MRO & Manufacturing
LATAM Airlines Boosts Fleet Efficiency with Lufthansa’s AVIATAR Tech
LATAM partners with Lufthansa Technik to deploy predictive maintenance platform AVIATAR, reducing delays by 20% and streamlining fleet operations.
In an era where operational efficiency and fleet reliability define competitive advantage, LATAM Airlines Group has taken a decisive step by partnering with Lufthansa Technik to deploy the AVIATAR platform across its fleet. This collaboration underscores a strategic shift toward predictive maintenance and data-driven decision-making in aviation—a sector increasingly reliant on digital tools to minimize disruptions and optimize costs.
The agreement covers over 300 aircraft, including Airbus A320s, Boeing 777s, and Boeing 787s, positioning LATAM among the early adopters of advanced maintenance analytics in Latin America. With airlines globally striving to reduce delays and improve safety, this partnership highlights how technology is reshaping traditional maintenance paradigms.
At the core of the collaboration is AVIATAR’s Predictive Health Analytics, which processes real-time aircraft data to identify potential technical issues before they escalate. By analyzing parameters such as engine performance, sensor readings, and historical maintenance records, the system generates actionable insights for preemptive repairs. LATAM has already reported a 20% reduction in delays and cancellations linked to technical disruptions during initial trials.
The platform’s machine learning adapts to fleet-specific patterns, enabling customized maintenance schedules. For example, anomalies detected in a Boeing 787’s hydraulic system might trigger targeted inspections, avoiding broader operational impacts. This proactive approach contrasts with traditional reactive methods, which often lead to unplanned downtime.
“Lufthansa Technik has proven to be a key partner in our digital transformation roadmap,” said Enrique Parada, LATAM’s VP of Engineering and Maintenance. “This agreement is a major step toward leveraging data-driven insights for optimized operations.” Complementing predictive analytics, AVIATAR’s Electronic Technical Logbook digitizes communication between cockpit crews and maintenance teams. Pilots can now report issues via standardized digital forms, reducing manual errors and accelerating troubleshooting. The tool integrates seamlessly with LATAM’s existing Maintenance & Engineering systems, enabling real-time coordination.
During a recent incident, a pilot’s digital report of fluctuating cabin pressure triggered an automated alert to ground technicians. Spare parts were pre-ordered, and repair protocols were initiated before the aircraft landed, cutting turnaround time by 40%. Such efficiency gains are critical for airlines operating high-frequency routes across Latin America’s vast geography.
The logbook’s cross-device functionality ensures accessibility even in remote locations, a vital feature for LATAM’s diverse operational hubs. By eliminating paper-based processes, the airline estimates a 15% reduction in administrative overhead annually.
LATAM’s adoption of AVIATAR mirrors a global shift toward predictive maintenance, with airlines like Emirates and Delta investing in similar technologies. According to Aviation Week, carriers using predictive analytics have seen a 25–30% drop in unscheduled maintenance events, translating to billions in annual savings industry-wide. Regulatory bodies are also encouraging this transition. The FAA and EASA have updated guidelines to accommodate AI-driven maintenance protocols, recognizing their potential to enhance safety. However, challenges remain, including data security concerns and the need for workforce upskilling to manage advanced systems.
“Having the possibility to analyze systematic defects fleet-wide is groundbreaking,” noted Jan Philipp Graesch, Lufthansa Technik’s product lead. “It reduces workload while enabling more efficient maintenance.” Lufthansa Technik recently introduced TRE (Technical Reliability Engineering), an AI module within AVIATAR that identifies fleet-wide defect patterns. Deployed at over 20 airlines, TRE automates root-cause analysis and recommends corrective actions—a task that previously required hours of manual review. LATAM plans to implement TRE by late 2025 to further streamline its operations.
Future upgrades may include generative AI features, such as natural language processing for technician interactions and automated report generation. These innovations align with industry projections that global spending on AI in aviation maintenance will exceed $1.2 billion by 2028, according to MarketsandMarkets.
As airlines face mounting pressure to reduce carbon footprints, predictive tools also support sustainability goals. Optimized maintenance schedules improve fuel efficiency by ensuring aircraft operate at peak performance, potentially lowering emissions by up to 5% per flight.
LATAM’s partnership with Lufthansa Technik exemplifies how digital transformation is redefining aviation maintenance. By harnessing AVIATAR’s predictive analytics and AI capabilities, the airline aims to set new benchmarks for reliability and efficiency in a region marked by complex operational challenges.
Looking ahead, the integration of generative AI and expanded data-sharing partnerships could further revolutionize technical operations. As the industry evolves, airlines that embrace such technologies will likely lead in both profitability and sustainability, proving that innovation is no longer optional—it’s imperative.
What aircraft types will use AVIATAR at LATAM? How does Predictive Health Analytics reduce delays? What future upgrades are planned for AVIATAR? Sources: Lufthansa Technik, Aviation Week
LATAM Airlines Embraces Digital Transformation with Lufthansa Technik’s AVIATAR
AVIATAR’s Technological Innovations
Predictive Health Analytics
Electronic Technical Logbook
Industry Impact and Future Directions
Broader Aviation Trends
AI and Machine Learning Integration
Conclusion
FAQ
The platform will be deployed across LATAM’s Airbus A320, Boeing 777, and Boeing 787 fleets.
By identifying potential issues before they cause failures, the system allows proactive maintenance, cutting delay incidents by 20% in trials.
Lufthansa Technik is developing generative AI tools for automated reporting and expanding TRE’s machine learning capabilities.
Photo Credit: Aviationsourcenews
[mc4wp_form id=1060]
MRO & Manufacturing
Boeing Deploys AI Tool to Automate Aircraft Part Validation Processes
Boeing introduces AI-driven OCR technology to streamline aircraft part inspection, reducing manual entry and saving over 17 hours per airplane.
Boeing has introduced a new artificial intelligence tool designed to automate the inspection and logging of aircraft parts, a move the manufacturer states has significantly reduced production time and improved data accuracy. Developed by engineers at the Boeing Korea Engineering & Technology Center (BKETC), the system utilizes Optical Character Recognition (OCR) to replace manual data entry during the assembly process.
According to the company, the new technology allows quality inspectors to validate components simply by photographing them. This innovation addresses a longstanding bottleneck in the manufacturing workflow, reportedly saving more than 17 hours of inspection time per airplane.
Prior to the implementation of this AI solution, quality inspectors were required to manually input complex serial numbers into the Aircraft Readiness Log (ARL). This process was not only time-consuming but also susceptible to human error, often referred to in the industry as “fat-finger” typos.
Boeing data indicates that before the tool’s deployment, approximately 70% of part serial numbers on the 737 program had to be entered manually. The repetitive nature of typing long strings of alphanumeric characters created a high potential for inaccuracies, which could disrupt the “digital thread”, the continuous digital record of an aircraft’s components and history.
The new handheld tool leverages computer vision to streamline the validation process. The workflow, as described in Boeing’s report, involves three primary steps:
To ensure the system could handle the variety of fonts, formats, and lighting conditions found on a factory floor, the development team undertook an extensive training process. Engineers captured over 2,250 images of various parts and manually labeled nearly 38,100 text boxes to train the machine learning model. Currently, the tool is capable of inspecting more than 1,400 different parts.
The project was a collaborative effort led by the Boeing Korea Engineering & Technology Center (BKETC) in partnership with the company’s central Artificial Intelligence team. The involvement of the Korea-based team highlights Boeing’s strategy of leveraging global engineering talent to solve specific production challenges.
“Quality inspectors identified the challenges in their current process and guided our design. Their insights guided us through the development journey and helped minimize disruption to existing workflows.”
, Wanbin Song, Boeing AI Team Lead at BKETC
The tool was first deployed in January 2024 at Boeing’s primary manufacturing sites in Renton and Everett, Washington, which produce the 737 and widebody jets respectively. Following its success in these facilities, Boeing plans to expand the technology to its South Carolina facility for 787 Dreamliner production. The team is also evaluating other areas of the production system where this OCR capability could further streamline documentation. The deployment of this OCR tool represents a practical application of “Smart Factory” principles, moving beyond buzzwords to address tangible production inefficiencies. In aerospace manufacturing, the integrity of the “digital thread” is paramount; the physical aircraft must perfectly match its digital records for safety, maintenance, and regulatory compliance.
By automating the entry of serial numbers, Boeing is reducing the cognitive load on inspectors and closing a gap where human error frequently occurs. While a saving of 17 hours per aircraft may seem minor in the context of a multi-month build cycle, these incremental efficiency gains are critical as the manufacturer seeks to stabilize production rates and ensure rigorous quality control across its assembly lines.
What is the primary benefit of the new AI tool? Who developed the technology? Where is the tool currently used?
Boeing Deploys Photo-Driven AI to Streamline Aircraft Part Validation
Eliminating the “Fat-Finger” Factor
How the Technology Works
Development and Deployment
AirPro News Analysis
Frequently Asked Questions
The tool eliminates manual data entry errors and reduces inspection time by over 17 hours per aircraft.
The tool was developed by the Boeing Korea Engineering & Technology Center (BKETC) and the Boeing AI team.
It was deployed in Renton and Everett, Washington, in January 2024, with plans to expand to Boeing South Carolina.
Sources
Photo Credit: Boeing
MRO & Manufacturing
Safran to Sell In-Flight Entertainment Division to Kingswood Capital
Safran agrees to sell its in-flight entertainment division SPI to Kingswood Capital, with completion expected by Q1 2026 and leadership retention planned.
French aerospace giant Safran has announced a definitive agreement to sell its in-flight entertainment and connectivity (IFEC) division, Safran Passenger Innovations (SPI), to Kingswood Capital Management, LP. The transaction, announced on December 10, 2025, marks a significant shift in Safran’s portfolio strategy as it continues to divest non-core assets acquired during its purchase of Zodiac Aerospace.
According to the official announcement, the sale is expected to close by the end of the first quarter of 2026, subject to customary regulatory approvals. While the financial terms of the deal were not publicly disclosed, Safran confirmed that SPI generates approximately $460 million in annual revenue.
The agreement transfers ownership of SPI, a California-based leader in in-flight entertainment systems, to Kingswood Capital Management, a Los Angeles-based private equity firm. Kingswood specializes in corporate carve-outs and operational transitions, making this acquisition a strategic fit for their portfolio.
For Safran, this move represents a continuation of its strategy to streamline operations and focus on its core competencies in propulsion and Commercial-Aircraft equipment. SPI, formerly known as Zodiac Inflight Innovations, was part of the Zodiac Aerospace acquisition in 2018. Since that merger, Safran has systematically reviewed its holdings to identify assets that operate outside its primary industrial focus.
In the company’s press statement, Safran indicated that the sale allows the group to concentrate resources on its strategic priorities while placing SPI under ownership that is specifically dedicated to growing the business as a standalone entity.
Kingswood Capital Management described the acquisition as its “second aerospace and defense investment,” signaling a growing interest in the sector. The firm plans to leverage its capital and operational expertise to accelerate SPI’s product development and market expansion.
“We look forward to partnering with the SPI management team to support the company’s next phase of growth and innovation as a standalone business.”
, Statement attributed to Kingswood Capital Management
A critical component of the agreement is the retention of SPI’s current leadership and workforce. The division employs approximately 740 people, primarily located at its headquarters in Brea, California, and its operations center in Wessling, Germany. According to the release, CEO Matt Smith and the existing management team will remain in place following the acquisition. This continuity is intended to ensure stability for SPI’s Airlines customers, which include major global carriers such as Lufthansa, ANA, Etihad, and China Southern.
SPI is best known for its RAVE (Reliable, Affordable, and Very Easy) product line. The RAVE system includes seatback in-flight entertainment screens and connectivity hardware that supports various satellite networks. As a standalone company under Kingswood, SPI aims to compete more agilely in the IFEC market against rivals like Panasonic Avionics and Thales InFlyt Experience.
The sale of Safran Passenger Innovations highlights a broader trend in the aerospace supply chain: the “unwinding” of massive conglomerates into more specialized entities. When Safran acquired Zodiac Aerospace in 2018, it absorbed a vast array of cabin interior businesses. While some, like seats, integrated well, the high-tech, consumer-facing nature of in-flight entertainment (IFE) often requires a different investment cycle and agility than engine manufacturing.
By moving to private equity ownership, SPI may gain the flexibility to pivot faster in a post-pandemic market where passengers demand 4K screens and high-speed Wi-Fi. For Kingswood, the challenge will be managing a tech-heavy portfolio company in a capital-intensive industry, but the retention of the original leadership team suggests a strategy of stability rather than radical restructuring.
When will the transaction be finalized? Will the leadership team change? What is the revenue of the division being sold?
Safran Agrees to Sell In-Flight Entertainment Division to Kingswood Capital Management
Transaction Overview and Strategic Rationale
Safran’s Divestment Strategy
Kingswood’s Aerospace Expansion
Impact on Operations and Leadership
The RAVE Product Line
AirPro News Analysis
Frequently Asked Questions
The deal is expected to close by the end of Q1 2026, pending regulatory approvals.
No. CEO Matt Smith and the current leadership team will continue to lead the company.
Safran Passenger Innovations generates approximately $460 million in annual revenue.
Sources
Photo Credit: Safran
MRO & Manufacturing
Airinmar Extends Aircraft Warranty Services Contract with Air Methods
Airinmar signs a multi-year extension with Air Methods to manage aircraft warranty and value engineering services for its 450+ fleet.
This article is based on an official press release from Airinmar.
Airinmar, a subsidiary of AAR CORP. (NYSE: AIR), has officially signed a multi-year extension to provide aircraft warranty management and value engineering services to Air Methods, one of the largest civilian helicopters operators in the world. According to the company’s announcement, this agreement prolongs a partnership that originally began in August 2020, reinforcing a strategic focus on cost efficiency and supply chain optimization.
The extended contract covers a massive fleet of over 450 helicopters and fixed-wing aircraft used primarily for emergency air medical transport. Under the terms of the agreement, Airinmar will continue to manage warranty entitlements, identifying, claiming, and recovering costs from manufacturers, while also providing value engineering support to ensure maintenance expenses remain aligned with fair market values.
The renewal highlights the increasing importance of outsourced technical management in the aviation sector. Airinmar’s role involves a comprehensive review of component repairs and warranty opportunities. By leveraging historical data and engineering expertise, the company aims to reduce the total cost of ownership for Air Methods’ diverse fleet.
According to the press release, the services provided include:
Jay Mahen, Senior Vice President of Operations at Air Methods, emphasized the importance of this partnership in maintaining operational readiness for their critical missions.
“We will continue to leverage Airinmar’s comprehensive engineering knowledge and expertise to help optimize our supply chain to provide safe and reliable lifesaving emergency air medical care.”
Jay Mahen, SVP of Operations, Air Methods
While the press release focuses on the continuation of services, the timing of this extension is significant when viewed against the broader financial backdrop of Air Methods. As reported in public financial disclosures, Air Methods successfully emerged from Chapter 11 bankruptcy in late December 2023, shedding approximately $1.7 billion in debt. The company is currently navigating a “transformation journey” under new ownership, with a sharp focus on operational efficiency and profitability.
In our view, extending a contract with a specialist like Airinmar aligns perfectly with this post-restructuring strategy. For large fleet operators, the administrative burden of tracking warranties across thousands of components can be overwhelming. Outsourcing this function allows Air Methods to recover funds that might otherwise be lost to administrative oversight, directly improving the bottom line without compromising safety. Furthermore, the aviation maintenance (MRO) sector is currently facing inflationary pressures and supply chain constraints. By utilizing “value engineering,” operators can scrutinize third-party vendor quotes more effectively, ensuring they are not paying inflated prices for parts or labor, a critical capability for maintaining an aging fleet of 450 aircraft.
Airinmar has operated for over 40 years and is a global leader in component repair cycle management. Based in Berkshire, England, it was acquired by AAR CORP., a major provider of aviation services to commercial and government customers worldwide. AAR CORP. recently reported record sales of $2.8 billion for Fiscal Year 2025, driven largely by demand for aftermarket solutions.
Air Methods is the leading air medical service provider in the United States. Operating from approximately 275 bases across 47 states, the company delivers lifesaving care to more than 100,000 people annually, functioning essentially as a “flying ICU.”
Value engineering in this context refers to the analysis of repair costs and methods to improve value. It involves verifying that repair quotes align with market rates, determining whether a component should be repaired or replaced based on reliability and cost, and ensuring that repair shops do not perform unnecessary work.
According to the press release and company data, Air Methods operates a fleet of over 450 helicopters and fixed-wing aircraft.
The original agreement was signed in August 2020. This recent announcement marks a multi-year extension of that initial contract.
Airinmar Secures Multi-Year Service Extension with Air Methods
Scope of Services and Operational Impact
Warranty Management and Value Engineering
Strategic Context: Efficiency in a Post-Restructuring Era
AirPro News Analysis
About the Companies
Frequently Asked Questions
What is “Value Engineering” in aviation maintenance?
How large is the Air Methods fleet?
When did the partnership between Airinmar and Air Methods begin?
Sources
Photo Credit: AAR Corp.
-
Business Aviation4 days agoGreg Biffle and Family Die in North Carolina Plane Crash
-
Business Aviation3 days agoBombardier Global 8000 Gains FAA Certification as Fastest Business Jet
-
Defense & Military6 days agoFinland Unveils First F-35A Lightning II under HX Fighter Program
-
Technology & Innovation2 days agoJoby Aviation and Metropolis Develop 25 US Vertiports for eVTOL Launch
-
Business Aviation2 days agoNTSB Preliminary Findings on Statesville Cessna Citation Crash
