Aviation Supply Chain Visibility: Where $11B Disappears

Here’s the number that should reframe every budget conversation in your MRO or fleet planning office: supply chain friction cost airlines more than $11 billion in 2025. Not in theoretical exposure. In absorbed cost: delayed fuel savings, inflated maintenance bills, excess engine leasing, bloated spares inventory. The common thread across every one of those categories is parts, engines, and components moving through a supply chain that operators cannot see clearly enough to act on.

Aviation supply chain visibility is the ability to track the location, condition, certification status, and provenance of aircraft parts across every stage of their lifecycle: manufacturing, distribution, installation, repair, return. When it works, MRO teams anticipate shortages weeks before they become AOG events. When it doesn’t, a $40 washer grounds a $150 million aircraft.

This article breaks down where the visibility gap sits, what it costs in operational dollars, which technologies close it today (not in a 2030 roadmap), and what a supply chain manager or MRO director can do this quarter to stop flying blind.

The $11 Billion Breakdown

IATA and Oliver Wyman independently arrived at the same conclusion: supply chain challenges cost airlines more than $11 billion in 2025. That figure splits into four buckets, and each one is a visibility failure in disguise.

• $4.2 billion in delayed fuel savings. Airlines flying older, less efficient aircraft because new deliveries aren’t arriving on schedule.
• $3.1 billion in higher maintenance costs. Aging fleets mean more unscheduled work, more inspections, more wear-related replacements.
• $2.6 billion in excess engine leasing. Powerplants spend longer in MRO shops, and airlines lease bridge capacity at premium rates.
• $1.1 to $1.4 billion in extra spares inventory. Buffer stock held because procurement teams can’t see what’s actually available upstream.

Behind those numbers sits a backlog of more than 18,000 commercial aircraft as of mid-2026, equivalent to roughly 14 years of production at current delivery rates. Aircraft deliveries in 2024 capped at 1,254 units, about 30% below pre-COVID peaks. The average fleet age has climbed to a record 15.2 years. Monthly lease rates for a Boeing 737 MAX 8 jumped from $283,000 in April 2021 to $452,000 by April 2025, a 60% increase driven by scarcity that better upstream visibility could have helped operators anticipate and mitigate.

The aftermarket itself is scaling fast. The global aircraft aftermarket parts market was valued at $48.71 billion in 2024, projected to nearly double to $93.52 billion by 2032. The Used Serviceable Material (USM) segment is growing fastest at 9% CAGR, and 74% of airlines now incorporate PMA parts to work around supply gaps. This isn’t a niche problem. It’s a multi-billion-dollar system under stress, and the operators who can see through it will absorb less damage than those who can’t.

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Why Aviation Parts Go Dark

Most industries have complex supply chains. Aviation has one that is complex, certified, tiered, and partially paper-based. That combination creates failure modes that don’t exist in automotive or consumer electronics.

The Tier Wall

An aircraft engine contains thousands of components sourced from Tier 1, 2, and 3 suppliers. Each tier runs its own ERP, its own inventory system, its own communication cadence. Information about delivery timelines, material shortages, or quality holds often travels by email or bilateral EDI between pairs of partners. Nobody sees the full picture.

The AirSupply consortium (Airbus, Dassault Aviation, Safran, Thales) was built to solve this exact problem, consolidating procurement, quality, logistics, and finance data onto a single shared platform. But consortium-level integration remains the exception, not the norm. Most of the industry still operates in bilateral silos.

The Paper Problem

A serviceable aircraft part isn’t serviceable until its documentation says so. The FAA 8130-3 Authorized Release Certificate (or EASA Form 1) travels with the physical part, often on paper. Satair, the Airbus spare-parts subsidiary, has pointed out that reliance on easily lost paper documents is itself a driver of supply chain opacity. A part sitting in a warehouse without its matching paperwork is, for all regulatory purposes, invisible. It can’t be installed. It can’t be sold. It just sits.

The Non-Serialized Gap

Line-replaceable units get serial numbers. Engines, avionics boxes, landing gear assemblies: all tracked individually. But the thousands of non-serialized components (bolts, washers, bushings, gaskets) mostly aren’t. They move in batches with batch-level traceability, not individual identity.

That gap has consequences beyond efficiency. Between 2019 and 2023, a UK-based company called AOG Technics distributed over 60,000 unverified CFM56 engine parts worth approximately £7 million. The parts were primarily non-serialized items. The fraud lingered for four years before detection, and the company’s director was sentenced to four years in prison in February 2026. If you can’t see a component’s origin clearly, you can’t verify it’s real. Visibility isn’t just about logistics efficiency. It’s a safety function.

The Tracking Identity That Expires at Delivery

There’s a subtler failure mode I see constantly in the field. Most organizations can track a part during transit: the freight forwarder’s tracking number, the courier’s scan events, proof of delivery. That’s shipment tracking, the same discipline behind supply chain visibility for shipping. It tells you when something arrived.

But once that part enters a warehouse, joins a rotable pool, goes to an MRO shop, or gets installed on an aircraft, the tracking identity often evaporates. The shipment tracking job ended at the dock door. Asset tracking (following the component through its full lifecycle: receipt, inspection, storage, installation, removal, repair, return) is a fundamentally different discipline. The gap between the two is where most of that $11 billion quietly accumulates.

The Technology Stack That Closes the Gap

No single technology solves aviation supply chain visibility. It’s a layered problem, and the solutions stack. Here’s what’s working in 2026, from the physical layer up.

Identity: Serialization, RFID, and QR

Everything starts with identity. If a part doesn’t have a machine-readable tag, it doesn’t exist in the digital supply chain. RFID adoption by both Airbus and Boeing for aircraft components has been documented since at least 2014, and RFID tags remain the largest revenue contributor in the cabin-equipment tracking segment. Where full RFID infrastructure is impractical, QR codes offer higher data density per scan than traditional barcodes and are gaining ground in MRO environments for receiving, inspection, and tool control workflows.

Physical Tracking: IoT, GPS, and Cellular

Identity tags tell you what something is. IoT sensors and GPS tell you where it is and what condition it’s in. This layer covers real-time location, temperature excursions, shock events, and dwell time for engines in transit, rotable components in pool circulation, and ground support equipment on the tarmac.

For airfreight, trackers need DO-160 certification to fly with the cargo, and for temperature-sensitive shipments that same layer enables cold chain air freight monitoring. For ground and warehouse applications, ruggedized cellular/GNSS devices with multi-year battery life cover assets that move between sites or sit idle for weeks. One documented use case involves a major engine manufacturer tracking jet engines in transit using ruggedized GPS trackers, gaining real-time visibility into assets worth millions that were previously dark between dispatch and receipt.

This is the layer where the gap between shipment tracking and asset tracking becomes a hardware decision. A freight forwarder’s scan events end at delivery. An IoT tracker on the asset itself doesn’t stop reporting just because the asset arrived.

Provenance: Blockchain

Blockchain addresses a problem no GPS tracker can: proving that a part is what its documentation claims. Satair has positioned blockchain specifically for USM traceability, using cryptographically linked records to surface part origin stories and detect forged documentation. The IATA Blockchain in Aviation White Paper identified parts provenance as a core use case, with pilots at Air France-KLM, Singapore Airlines, and SITA. Accenture survey data cited by Satair suggests 70% of respondents believe blockchain could help detect falsified data.

The limitation is worth stating plainly: blockchain solves provenance but does not solve the physical shortage. Combined with substitution programs (PMA, USM sourcing, DER repairs), it builds a more trustworthy supply base. Alone, it builds a more trustworthy database with the same empty shelves.

Simulation: Digital Twins

More than 12,000 aircraft are connected to Airbus’s Skywise platform, serving over 140 airlines, suppliers, MROs, and authorities. Real-time sensor data feeds virtual replicas that extend component life, optimize maintenance schedules, and reduce unplanned downtime. Boeing has advanced parallel AI and digital twin capabilities for manufacturing and operations.

The key insight from fleet-scale platforms: smaller, airline-specific data lakes cannot pool enough failure data to train reliable predictive models. Shared platforms produce better predictions because they aggregate across hundreds of operators. If Skywise identifies a component degradation pattern across 140 airlines, every operator on the platform benefits. If your data lake sees the same pattern across 12 aircraft, the confidence interval is too wide to act on.

Prediction: AI and Machine Learning

McKinsey’s MRO 2.0 survey found that predictive maintenance is the top digital priority for 56% of MRO respondents. Only 6% have integrated digital at scale today, but over 70% expect it to be critical within three to five years. Front-runners already report revenue uplifts above 5%, productivity gains above 10%, and maintenance spending reductions of 10 to 20%.

The catch: AI predictions are only as good as the data flowing into them. If your physical tracking layer has gaps (parts going dark in warehouses, untagged rotables, manual data entry for condition), your predictive models inherit those gaps. The organizations extracting real value from AI invested in the physical data capture layer first, then built analytics on top. Not the other way around.

Integration: Control Towers

Control towers aggregate all the layers above into a single operational view. Allegiant Air built one on SAP Business Technology Platform, integrating S/4HANA, Analytics Cloud, and the Ariba Network with ML-powered forecasting. The result: a shift from reactive firefighting to predictive intervention, with proactive alerts for material shortages and shipment delays.

IATA’s MRO SmartHub, announced as one of four industry priorities in June 2026, positions itself as a cross-industry alternative: a shared metrics and forecasting platform that combines external market intelligence with airline maintenance systems. The implication for operators is clear. You’ll increasingly face a build-or-join decision: invest in a proprietary control tower, or participate in industry-wide data exchanges. Either way, the integration layer only works if the physical and provenance layers underneath are solid.

Visibility Is Not Control

There’s a mistake embedded in how the industry talks about this problem. “Total supply chain visibility” is presented as a finish line. Get the data, build the dashboard, problem solved.

It’s not.

Visibility means you can see where a part is, what condition it’s in, and whether its documentation is intact. Control means you can act on that information fast enough to change an outcome. The distance between the two is where most operators stall, and three forces widen that distance.

The conformity bottleneck comes first. A USM engine sitting in a warehouse in Miami with complete traceability is visible. But if its release certificate is stuck in a quality review in Hamburg, that engine is not actionable. Paperwork delays cause as many AOG events as physical parts shortages. Real visibility has to extend to the documentation lifecycle, not just the metal.

Then there’s the trust deficit. Airlines, MROs, OEMs, and distributors often share logistics lanes and compete for the same parts. Sharing real-time inventory and capacity data means exposing commercially sensitive information to companies you may also be bidding against. The AirSupply consortium works because its members agreed on governance rules before selecting technology. Without governance, the technology doesn’t get adopted. Full stop.

Finally, the workforce gap. Boeing forecasts demand for 710,000 new aviation technicians over the next 20 years. Even with perfect sensors and a perfectly integrated control tower, if there aren’t enough qualified people to interpret the signals and act, visibility doesn’t translate to outcomes. McKinsey found that up to 60% of MRO technicians’ time is already consumed by unplanned work. Adding dashboards without addressing the human bandwidth problem just creates a more expensive form of data overload.

Visibility without workflow integration, without data governance, without someone accountable for acting on the signal, is just a more expensive way of not knowing.

What You Can Do This Quarter

Most of the conversation around aviation supply chain visibility is written from the perspective of enterprise transformation: multi-year SAP deployments, fleet-scale digital twins, consortium-level data sharing. That’s legitimate. But it’s not where every operator starts, and it’s not the only path that produces results.

If you manage a regional MRO, a 30-aircraft fleet, a freight forwarding operation, or a ground support equipment pool, four moves close the gap now.

1. Track assets, not just shipments

Deploy physical tracking on the assets themselves, not just on the shipping container they travel in. An IoT device on a rotable component, a ULD, or a GSE unit continues reporting after delivery, through storage, inspection, deployment, and return. If your tracking data stops at the dock door, you’re running shipment tracking and calling it visibility. For airfreight, DO-160 certified trackers fly with the cargo. For ground and warehouse use, cellular/GNSS devices with multi-year battery life provide global coverage without infrastructure buildout.

2. Start with what costs you most when it goes missing

You don’t need to tag everything on day one. Start with the asset categories where dwell time, loss, or misallocation costs the most: engine QEC kits, high-value rotables, reusable containers, specialized GSE. Measure cycle time before and after. That baseline produces the ROI case for expanding coverage.

3. Close the documentation gap alongside the location gap

If your visibility investment stops at “we know where the part is,” you’ll still hit conformity delays at the worst possible time. Pair physical tracking with digital documentation workflows that keep release certificates, inspection records, and certification status linked to the asset in real time. A part with a location but no documentation is half-visible.

4. Align with industry-level initiatives early

IATA’s MRO SmartHub and the AirSupply consortium both signal that shared visibility platforms are the direction the industry is heading. Operators who participate early will help shape the data standards. Those who wait will adapt to standards set by others. If you’re building internal visibility today, design it to connect outward, not just inward.

The physical tracking layer is the one most often skipped and most immediately actionable. It doesn’t require a multi-year IT transformation. It requires the right hardware, configured for your operating environment, deployed on the assets that matter most. That’s what we do at Datanet IoT Solutions: asset tracking hardware purpose-built for aviation, including DO-160 approved devices for airfreight and ruggedized GPS/cellular trackers for ground and warehouse environments. If your parts, engines, or equipment go dark after delivery, talk to our team. That’s the gap asset tracking closes.

Frequently Asked Questions

What is aviation supply chain visibility?

Aviation supply chain visibility is the ability to track the location, condition, certification status, and provenance of aircraft parts and components in real time, from manufacturing through distribution, installation, repair, and retirement. It combines identification (RFID, serialization), physical tracking (IoT/GPS), data integrity (blockchain), simulation (digital twins), and analytics (AI/ML) into a layered technology stack.

Why is aviation supply chain visibility so difficult to achieve?

Three structural factors make it harder than in other industries: a tiered supplier network where each tier runs its own systems, persistent reliance on paper-based certification documents (8130-3, Form 1), and tens of thousands of non-serialized parts (bolts, bushings, gaskets) that lack individual tracking identity. These gaps compound across a global supply chain with thousands of participants.

How much does poor supply chain visibility cost airlines?

IATA and Oliver Wyman estimate supply chain challenges cost airlines more than $11 billion in 2025: $4.2 billion in delayed fuel savings, $3.1 billion in higher maintenance costs, $2.6 billion in excess engine leasing, and $1.1 to $1.4 billion in extra spares inventory. Most of these costs trace directly to information gaps about parts availability and delivery timelines.

What role does IoT play in aviation supply chain visibility?

IoT devices (GPS/cellular trackers, environmental sensors) provide the physical tracking layer: real-time location, temperature excursions, shock events, and dwell time for parts, engines, and equipment. Unlike shipment tracking that ends at delivery, IoT-enabled asset tracking continues reporting through storage, repair, and reuse cycles, closing the lifecycle visibility gap that paper-based systems miss.

What is the difference between shipment tracking and asset tracking in aviation?

Shipment tracking follows a package from dispatch to delivery using the carrier’s tracking events. Asset tracking follows the physical component across its entire lifecycle, including post-delivery stages like warehousing, inspection, installation, removal, and return to pool. In aviation, parts circulate for years or decades. Shipment tracking covers one leg of a many-legged journey.

How is blockchain used for aircraft parts traceability?

Airlines and parts distributors use blockchain to create immutable provenance records for Used Serviceable Material (USM). Satair has piloted blockchain-based origin tracking for USM components. IATA identified parts provenance as a core blockchain use case, with pilots at Air France-KLM and Singapore Airlines. The technology helps detect forged certification documents, as the AOG Technics counterfeit parts case demonstrated.