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Explore our aviation featured articles—insider pilot perspectives, aircraft tech deep dives, safety best practices, and market trends.
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Many organizations lack a game plan for dealing with the remaining paper aviation maintenance records that never got digitized.

How to Manage Your Large Volumes of Aviation Maintenance Records Efficiently

Aviation maintenance records piling up? Managing them manually is a compliance risk—and a waste of time. Learn how to digitize, organize, and retrieve records efficiently while meeting FAA & NARA mandates. Read the guide now!

April 3, 2025
Two airplanes landing at sunset in shared airspace, representing the role of aviation safety and cooperation, which is heightened through strong document verification compliance.

The Role of Document Verification in Aviation Compliance

Safety in aviation depends on more than just protocols—it’s about accurate, verified documents. Explore how document verification supports FAA compliance and the future of aviation safety.

March 27, 2025
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Top AI Inventory Management Software Features Every Aviation Supply Chain Manager Needs

Amid a bustling air travel scene, the FAA oversees over 45,000 flights every single day, transporting nearly 3 million passengers across 29 million square miles of air space (FAA: Air Traffic Control by the Numbers).

February 14, 2025
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Dynamic Inventory Management for MRO: How AI Solutions Reduce Turnaround Times

AI-driven solutions are transforming Maintenance, Repair, and Overhaul (MRO) operations by enhancing inventory management, reducing downtime, and optimizing costs. Traditional MRO systems struggle with unpredictable repair needs, high storage costs, and long lead times. AI-powered systems use real-time data, predictive analytics, and automated reordering to streamline inventory processes, reduce turnaround times, and improve efficiency across industries like aviation, manufacturing, and defense.

March 5, 2025
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Aviation-Grade Document AI. Precision That Performs.

Introduction: Aviation’s Document Deluge and the Accuracy Imperative


The aviation industry is inundated with critical documents – Airworthiness Certificates, Illustrated Parts Catalogs (IPCs), maintenance manuals, FAA Service Bulletins/Airworthiness Directives, logbooks, and more. These unstructured, high-volume documents are the lifeblood of aviation operations and compliance. For example, a single U.S. commercial aircraft can produce up to 7,500 pages of new documents per year to meet DOT and FAA requirements. Ensuring that AI systems can reliably interpret and utilize this mountain of data is non-negotiable. In building aviation-grade AI, one principle stands out: the quality of AI outputs is only as good as the accuracy of the underlying data extraction. In other words, if your document data extraction is flawed, even the most advanced AI model will propagate those errors – a classic “garbage in, garbage out” scenario. AI leads and technical teams must therefore prioritize high-precision document data extraction as the foundation of any aviation AI pipeline.

June 11, 2025
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Schedule AI. Real-Time Optimization of MRO Scheduling.

Maintenance, Repair and Overhaul (MRO) scheduling in aviation and manufacturing involves allocating skilled technicians, tools, parts, and hangar space to maintenance tasks under tight time constraints. Traditional methods (manual or legacy ERP planning) struggle with unpredictable breakdowns and diverse task requirements . In today’s “smart era,” AI-driven scheduling systems consider a wide range of variables – technician skills, certifications, location, parts availability, etc. – to create optimal work plans . For example, modern AI schedulers “consider countless variables — skills, certifications, location, parts availability — to create the most efficient plan,” learning from past jobs to optimize future schedules . Schedule AI applies this concept to MRO by continuously analyzing live data and using machine learning to predict, allocate, and optimize maintenance tasks in real time .

June 14, 2025
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Inventory AI. Predict Every Aviation Part Need.

Data Engineering and Preparation for Inventory AI

Effective Inventory AI starts with a robust data pipeline. All relevant data from enterprise systems and external sources must be aggregated, cleaned, and transformed for AI consumption. This includes inventory data (historical sales, current stock levels, part attributes) and demand drivers (market trends, maintenance schedules, promotions, etc.) . By integrating internal ERP records with external factors (e.g. industry trends or seasonal patterns), the model gains a comprehensive view of demand influencers . Key steps in the data pipeline typically include:

  • Data Extraction & Integration: Pull data from ERP systems (e.g. SAP, Oracle, Quantum) and other sources (supplier databases, market feeds). The platform supports automated connectors to various aviation systems, ensuring smooth data inflow . For example, historical usage, lead times, and open orders are merged with external data like global fleet utilization or macroeconomic indicators.
  • Data Transformation & Cleaning: Once ingested, data is cleaned and standardized. This involves handling missing values, normalizing units (e.g. flight hours, cycles), and structuring data into meaningful features. Custom transformations and data warehouse automation may be applied to prepare AI-ready datasets. The goal is to create a unified data model that captures the state of inventory (on-hand quantities, locations, costs) and contextual variables (e.g. demand covariates, vendor lead times).
  • Data Loading into the Cloud: The prepared data is loaded into a scalable cloud data platform. In our architecture, Snowflake is used as the central cloud data warehouse, which can ingest batch or real-time streams and handle large volumes of transactional data. Snowflake’s instant elasticity allows scaling storage and compute on-demand, so even massive ERP datasets and forecasting features are processed efficiently . This cloud-based repository serves as the single source of truth for all downstream analytics and machine learning.
  • Business-Specific Fine-Tuning: A crucial preparation step is aligning the data and model parameters with each aviation business’s nuances. Every airline or MRO may have unique consumption patterns, lead-time constraints, and service level targets. The Inventory AI system “fine-tunes” its models to the client’s historical data and business rules, effectively learning the organization’s demand rhythms and inventory policies. This could involve calibrating forecasting models with a subset of the company’s data or adjusting optimization constraints (like minimum stocking levels for critical AOG parts). By tailoring the AI to the business, the predictions and recommendations become far more accurate and relevant to that client’s operations.

Continuous Data Updates: Inventory AI is not a one-off analysis – it continuously learns. Data pipelines are scheduled to update frequently (e.g. daily or hourly), feeding new transactions (sales, shipments, RFQs, etc.) into the model. This ensures the AI always bases decisions on the latest state of the inventory and demand. Automated data quality checks and monitoring are in place to catch anomalies in the input data, so that garbage data doesn’t lead to bad predictions. In summary, a solid foundation of integrated, clean data in the cloud enables the AI models to perform optimally and adapt to changes over time.

June 14, 2025
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AeroGenie. Ask Your Aviation Data Anything.

Introduction

Accessing complex aviation data should be as simple as asking a question. AeroGenie is an advanced aviation-domain natural language-to-SQL system that allows analysts and executives to query vast aviation databases by simply phrasing questions in everyday language. Built by a ePlane AI team of MIT-level engineers with assistant product experience, AeroGenie bridges the gap between human language and aviation data, translating ambiguous questions into precise SQL queries on the fly. The result is an experience akin to conversing with a smart colleague or voice assistant, except this “colleague” instantly writes perfect SQL and retrieves the answer — even from thousands of aviation records — in under a second.

June 11, 2025
A commercial aircraft at the airport taxiway with ground crew preparing for movement. The image highlights the urgency of AOG response, where rapid maintenance decisions and AI-driven logistics can significantly reduce costly delays.

Everything You Need to Know About Streamlining AOG Services With AI

AOG delays cost the industry billions of dollars every year. AI-powered solutions predict failures before they happen, source parts instantly, and drastically cut maintenance downtime.

February 27, 2025
Aircraft maintenance hangar with mechanics working on landing gear and propeller components, surrounded by aircraft in various stages of repair.

Understanding Aircraft Part Condition Codes to Ensure Conformity

Not all new aircraft parts are created equal. Condition codes help determine traceability, usability, safety, compliance, and more. Here's what you need to know.

March 6, 2025
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How the Future of Aviation AI Took Flight at MRO Americas 2025

At MRO Americas 2025, ePlaneAI announced its transformation from a digital marketplace to a full-suite provider of AI-powered aviation solutions. The company introduced its new AI-driven platform, featuring tools like AeroGenie, Email AI, Inventory AI, and Document AI, designed to optimize procurement, inventory management, and maintenance workflows in real-time. These innovations aim to enhance efficiency, accuracy, and regulatory compliance for airlines, MROs, and suppliers. ePlaneAI also released a whitepaper on optimizing aerospace data with AI, emphasizing how automation can accelerate operations and improve supply chain resilience.

April 16, 2025
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Using AI to Enhance ERP Systems for Smarter Aviation Operations

They say every minute of flight delay wallops the aviation industry with a staggering $15,000 in hourly costs, or about $250 a minute. Multiply that by the thousands of delays each year, and the aviation industry shoulders an astronomical $41 billion in losses. These numbers represent more than just money lost. They represent disrupted supply chains, grounded fleets, irate passengers, and frustrated customers waiting for late packages.

January 8, 2025
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Global Aviation Intelligence. Delivered.

Parts Analyzer is a cutting-edge global data aggregation service tailored to the aviation industry. It continuously collects and analyzes aviation parts information from across the internet, providing a real-time view of global supply and demand trends for top parts by condition and location. This platform essentially creates a “global puzzle”of the parts marketplace by assembling countless data points into one comprehensive picture. Key aspects of its data collection include:

  • Massive Coverage: Monitors millions of unique part numbers worldwide, scanning inventory and listings across 1,000+ geographic locations in all major markets.
  • Wide-Ranging Sources: Gathers data from online sources, OEM and distributor websites, auction boards, forums, and other sources – consolidating and deduplicating entries to provide one unified record for each part.
  • High Velocity Updates: Ingests huge volumes of new data weekly, augmented by real-time machine learningthat flags significant market changes (e.g. sudden price shifts, stock level changes, or new suppliers for a part).
  • Unified Database: Maintains an AI-enhanced global parts database that is continuously updated, ensuring up-to-the-minute insights into market trends and anomalies.

By piecing together all these bits of information, Parts Analyzer offers an unparalleled perspective on the aviation parts landscape. This comprehensive view is crucial for informed decision-making, helping users spot opportunities and risks that would be invisible without a global data lens. Like other leading AI-driven platforms, we process an enormous breadth of data – but with a specialized aviation focus – to extract truly actionable intelligence from the noise.

June 11, 2025
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Email AI Agent. Handles RFQs. And Everything After.

Introduction: Aviation businesses deal with a high volume of emails every day – from parts RFQs (Requests for Quote) and inventory updates to support inquiries and warranty claims. Managing these manually is slow, labor-intensive, and prone to error. ePlaneAI’s Email AI solution addresses this by acting as an AI-powered agent behind your Outlook/Office 365 mailbox, automating email workflows with remarkable speed and accuracy. By leveraging Microsoft Graph API integration, custom aviation-trained language models, and a powerful orchestration engine, Email AI can parse incoming messages (and attachments), extract key data, check it against inventory or other systems, and instantly craft precise replies – all while ensuring enterprise-grade privacy and compliance. This not only accelerates response times dramatically (up to 90% faster, boosting conversion rates by ~25%), but also relieves your team from repetitive tasks so they can focus on high-value work.

June 11, 2025
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Vector DB. Unlock Aviation’s Unstructured Intelligence.

Vector databases index high-dimensional embedding vectors to enable semantic search over unstructured data, unlike traditional relational or document stores which use exact matches on keywords. Instead of tables or documents, vector stores manage dense numeric vectors (often 768–3072 dimensions) representing text or image semantics. At query time, the database finds nearest neighbors to a query vector using approximate nearest neighbor (ANN) search algorithms. For example, a graph-based index like Hierarchical Navigable Small Worlds (HNSW) constructs layered proximity graphs: a small top layer for coarse search and larger lower layers for refinement (see figure below). The search “hops” down these layers—quickly localizing to a cluster before exhaustively searching local neighbors. This trades off recall (finding the true nearest neighbors) against latency: raising the HNSW search parameter (efSearch) increases recall at the cost of higher query time .

June 15, 2025
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Supply Chain Portal. One Seller. Many Buyers. Total Control.

The Aviation Supply Chain Portal is essentially a private e‑commerce platform tailor-made for aviation suppliers and their customers . Designed exclusively for airlines, MROs, and parts distributors, it centralizes inventory, procurement, and supplier collaboration into one secure system . In practice, an OEM or parts distributor “white‑labels” this portal and invites its approved buyers (airlines, MROs, etc.) to log in. These buyers see a full catalog of parts (synced in real time from the seller’s ERP) and can search, filter, and compare items just as they would on a large online marketplace . Unlike open public exchanges, however, this portal is private – only the one supplier (with many buyers) is on the platform, giving the company complete control over pricing, stock, and user access .

June 15, 2025
Image depicting a modern aircraft hangar with abstract AI overlays, including visual data indicators and glowing icons, symbolizing aviation innovation.

Streamlining Aircraft Parts Procurement: 5 Strategies for Faster Lead Times

Cut delays and boost efficiency in aircraft parts procurement. Explore the top 5 trends for 2025 to reduce lead times for aircraft parts procurement.

February 3, 2025
Modern aircraft cockpit showcasing advanced avionics and digital controls, emphasizing the role of aircraft maintenance software in optimizing fleet operations and reducing downtime.

Top 9 Features to Look for in Aircraft Maintenance Software

Aircraft maintenance software + AI = unstoppable efficiency. Slash cuts, reduce downtown, optimize MRO practices, and improve predictive maintenance and forecasting capabilities. Find your perfect software + AI combo.

March 20, 2025

Latest Articles

Trends

How to Manage Your Large Volumes of Aviation Maintenance Records Efficiently

Aviation maintenance records piling up? Managing them manually is a compliance risk—and a waste of time. Learn how to digitize, organize, and retrieve records efficiently while meeting FAA & NARA mandates. Read the guide now!

Optimizing Aerospace Supply Chain With AI and Big Data

INTRODUCTION: TRANSFORMING THE PROCUREMENT PROCESS WITH AI

The aerospace supply chain is a complex system of multiple global suppliers that produce components across the entire aircraft ecosystem - frame, engine, integrated systems, etc. This system requires a robust management strategy for improved supply chain visibility, enabling airlines, OEMs, MROs, and parts distributors to make informed purchasing decisions while effectively mitigating compliance risks.

Why Global Supply Chain Visibility Matters for Aviation Inventory Management

Supply chain visibility is essential for the aviation industry to prevent disruptions and ensure smooth operations. With aging fleets, rising demand, and supply chain challenges like labor and material shortages, real-time tracking of parts and materials is crucial. Digital twins and AI-powered tools help optimize inventory, reduce delays, and improve maintenance outcomes. As global disruptions continue, aviation businesses must adopt smarter, predictive systems to stay resilient and efficient.

Reducing Procurement Costs in Aviation with AI-Driven Direct Bidding

Procurement is the backbone of aviation operations. Airlines depend on sourcing everything from spare parts to maintenance services efficiently to keep their fleets in the air. That said, procurement in aviation isn’t straightforward—it’s a complex web of global supply chains, fluctuating costs, and compliance hurdles, where small inefficiencies lead to big financial losses.

Why Being First to Bid Matters: The Primacy Effect and Why It Matters in Aviation Procurement

In the delicate game of bidding and procurement, getting your bid in first or early is everything. It's a race to outdo other suppliers, being first to bid while ensuring the figures you've slogged through are accurate. With AOG (aircraft on ground) events and other delays, every minute—and every decimal place—counts.

Streamlining Aircraft Parts Procurement: 5 Strategies for Faster Lead Times

Cut delays and boost efficiency in aircraft parts procurement. Explore the top 5 trends for 2025 to reduce lead times for aircraft parts procurement.

How to Manage Your Large Volumes of Aviation Maintenance Records Efficiently

Aviation maintenance records piling up? Managing them manually is a compliance risk—and a waste of time. Learn how to digitize, organize, and retrieve records efficiently while meeting FAA & NARA mandates. Read the guide now!

Optimizing Aerospace Supply Chain With AI and Big Data

INTRODUCTION: TRANSFORMING THE PROCUREMENT PROCESS WITH AI

The aerospace supply chain is a complex system of multiple global suppliers that produce components across the entire aircraft ecosystem - frame, engine, integrated systems, etc. This system requires a robust management strategy for improved supply chain visibility, enabling airlines, OEMs, MROs, and parts distributors to make informed purchasing decisions while effectively mitigating compliance risks.

Why Global Supply Chain Visibility Matters for Aviation Inventory Management

Supply chain visibility is essential for the aviation industry to prevent disruptions and ensure smooth operations. With aging fleets, rising demand, and supply chain challenges like labor and material shortages, real-time tracking of parts and materials is crucial. Digital twins and AI-powered tools help optimize inventory, reduce delays, and improve maintenance outcomes. As global disruptions continue, aviation businesses must adopt smarter, predictive systems to stay resilient and efficient.

Reducing Procurement Costs in Aviation with AI-Driven Direct Bidding

Procurement is the backbone of aviation operations. Airlines depend on sourcing everything from spare parts to maintenance services efficiently to keep their fleets in the air. That said, procurement in aviation isn’t straightforward—it’s a complex web of global supply chains, fluctuating costs, and compliance hurdles, where small inefficiencies lead to big financial losses.

Why Being First to Bid Matters: The Primacy Effect and Why It Matters in Aviation Procurement

In the delicate game of bidding and procurement, getting your bid in first or early is everything. It's a race to outdo other suppliers, being first to bid while ensuring the figures you've slogged through are accurate. With AOG (aircraft on ground) events and other delays, every minute—and every decimal place—counts.

Streamlining Aircraft Parts Procurement: 5 Strategies for Faster Lead Times

Cut delays and boost efficiency in aircraft parts procurement. Explore the top 5 trends for 2025 to reduce lead times for aircraft parts procurement.

Key Takeaways

Top insights of the week/month

Skipping a pre-purchase aircraft inspection can speed up a deal—but at what cost? Learn how inspections protect your investment, when they’re essential, and how to streamline the process without increasing risk.

Aviation security goes beyond metal detectors, covering extensive regulations, documentation, and protocols to safeguard passengers, crew, and operations. Regulatory bodies like ICAO, FAA, and IATA set global standards, requiring stringent record-keeping for compliance. This includes maintaining key documents such as National Civil Aviation Security Programs (NCASP), security manuals, and incident response plans.

In aviation, documentation isn’t just paperwork—it’s proof of compliance and the framework for safety and operational efficiency. That said, the recordkeeping burden is immense: Just one U.S.-certificated carrier can require upwards of 7,500 pages of records per year.

Introduction: Aviation’s Document Deluge and the Accuracy Imperative


The aviation industry is inundated with critical documents – Airworthiness Certificates, Illustrated Parts Catalogs (IPCs), maintenance manuals, FAA Service Bulletins/Airworthiness Directives, logbooks, and more. These unstructured, high-volume documents are the lifeblood of aviation operations and compliance. For example, a single U.S. commercial aircraft can produce up to 7,500 pages of new documents per year to meet DOT and FAA requirements. Ensuring that AI systems can reliably interpret and utilize this mountain of data is non-negotiable. In building aviation-grade AI, one principle stands out: the quality of AI outputs is only as good as the accuracy of the underlying data extraction. In other words, if your document data extraction is flawed, even the most advanced AI model will propagate those errors – a classic “garbage in, garbage out” scenario. AI leads and technical teams must therefore prioritize high-precision document data extraction as the foundation of any aviation AI pipeline.

Every minute an aircraft is grounded, companies are weighed down by the loss of thousands in revenue and lost customer trust. As a result, operational efficiency has become a persistent, must-win challenge and not just a goal for competitors in the aviation industry, according to research firm Verdantix.

Supply chain visibility is essential for the aviation industry to prevent disruptions and ensure smooth operations. With aging fleets, rising demand, and supply chain challenges like labor and material shortages, real-time tracking of parts and materials is crucial. Digital twins and AI-powered tools help optimize inventory, reduce delays, and improve maintenance outcomes. As global disruptions continue, aviation businesses must adopt smarter, predictive systems to stay resilient and efficient.

In aviation, precision isn’t just a luxury—it’s a necessity. Spare parts management plays a critical role in keeping fleets operational, avoiding costly delays, and maintaining customer trust. However, many aviation companies struggle with forecasting spare parts demand accurately and it costs them on both ends with high holding costs for excess stock, or AOG incidents when the holding was insufficient. Both outcomes are avoidable.

Procurement is the backbone of aviation operations. Airlines depend on sourcing everything from spare parts to maintenance services efficiently to keep their fleets in the air. That said, procurement in aviation isn’t straightforward—it’s a complex web of global supply chains, fluctuating costs, and compliance hurdles, where small inefficiencies lead to big financial losses.

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