This article summarizes reporting by the National Business Aviation Association (NBAA).

From Guesswork to Precision: AI Takes on Aircraft Weight and Balance

The aviation industry is currently navigating a critical transition in how it calculates aircraft weight and balance (W&B). For decades, operators have relied on manual calculations and “standard average weights” for passengers and baggage, a method that is becoming increasingly untenable due to changing population demographics and stricter safety margins. According to recent reporting by the National Business Aviation Association (NBAA), artificial intelligence (AI) is now offering a viable path away from these estimates toward real-time, data-driven precision.

This shift is not merely about modernization; it addresses a core safety vulnerability. Improper weight distribution can lead to tail strikes, runway overruns, and loss of control. As noted in the NBAA report, the industry is seeing a divergence in solutions: some companies are developing hardware-based sensors to “weigh” the aircraft physically, while others are deploying software-based AI to integrate baggage data instantly.

The Problem with “Standard Weights”

Traditionally, pilots and loadmasters have used standard weight tables, such as assigning a fixed weight of 190 lbs to an adult passenger, to calculate an aircraft’s center of gravity (CG). However, regulatory bodies like the FAA and EASA have flagged this approach as increasingly inaccurate.

According to industry data highlighted in the NBAA report, the FAA’s Advisory Circular AC 120-27F urges operators to move toward “actual weight” programs. The reliance on averages forces airlines to apply large “curtailments”, safety buffers that reduce the amount of revenue-generating payload an aircraft can legally carry. Furthermore, manual data entry remains a persistent source of human error.

“Weight and CG errors are one of the most significant issues plaguing safe aircraft operations today… They are borne out of heavily manual, assumption-based calculations.”

— Bill Tiffany, CEO of Avix Aero (via NBAA)

Hardware Solutions: The “Smart Strut”

One of the most prominent hardware innovations covered in the report comes from Avix Aero. The company has developed an Onboard Weight and Balance System (OBWBS) that effectively converts an aircraft’s landing gear into a high-tech scale.

According to the source material, this system installs sensors directly onto the landing gear struts to measure pressure and stress. However, raw sensor data is often noisy due to wind, engine vibration, and aircraft movement. Avix Aero uses AI algorithms to “clean” this data in real-time, filtering out environmental noise to provide an instant, precise reading of the aircraft’s total weight and CG.

The NBAA notes that this technology has already achieved significant regulatory milestones. Avix Aero currently holds Supplemental Type Certificates (STCs) for major airframes, including the Boeing 737-NG and Boeing 777. By providing actual weight data, this system allows operators to eliminate the wasteful safety buffers required when using estimates.

Software Solutions: Integrating the Data

While hardware solutions focus on physical measurement, other innovators are using AI to streamline data management. The NBAA report highlights Abomis Innovations, which focuses on integrating AI with existing Baggage Reconciliation Systems (BRS).

Instead of estimating bag weights, the Abomis platform pulls exact weight data from check-in scales for every piece of luggage loaded. The AI then automates the decision-making process for load distribution, verifying safety limits before the pilot receives the final load sheet.

Similarly, Lufthansa Systems utilizes a “Management by Exception” approach with its NetLine/Load tool. According to the report, this system uses reinforcement learning to automate routine load control tasks. This efficiency allows a single human controller to safely manage up to 100 flights per shift, as the AI only alerts them to complex, non-standard situations.

AirPro News Analysis

While the safety benefits of AI-driven weight and balance are clear, we believe the economic drivers will be the primary catalyst for widespread adoption. The current system of “curtailment” forces airlines to leave potential cargo or passengers behind to account for the inaccuracy of standard weight averages.

By switching to precise, real-time weighing, whether through smart struts or integrated baggage data, airlines can reclaim that lost capacity. In an industry with razor-thin margins, the ability to safely carry even a few hundred pounds of additional freight per flight, or to optimize trim for fuel efficiency based on exact CG, represents a substantial financial advantage. We expect to see carriers prioritize these technologies not just for compliance, but for the immediate ROI on fuel and payload optimization.

Frequently Asked Questions

Why are standard passenger weights considered unsafe?

Standard weights are averages that may not reflect the actual passengers on a specific flight. As population obesity rates change and carry-on baggage habits evolve, these averages become less reliable, potentially leading to calculation errors that affect aircraft stability.

Does the FAA require weighing every passenger?

Not currently. While the FAA encourages “actual weight” programs, weighing every passenger is logistically difficult. Technologies like those from Avix Aero and Abomis offer a middle ground: precise data without the bottleneck of weighing passengers at the gate.

What is the difference between hardware and software AI solutions?

Hardware solutions (like Avix) use physical sensors on the aircraft to weigh it in real-time. Software solutions (like Abomis) use digital data from check-in scales and other sources to calculate the weight more accurately than manual estimates.

Sources

• NBAA
• FAA AC 120-27F