AI Enabled Tools and Implementation in AIRBUS Aviation Sector

This report provides a comprehensive analysis of artificial intelligence (AI) implementation within the AIRBUS aviation sector, focusing on enhancing customer satisfaction, flight security, and profit margins. It addresses key challenges such as weather forecasting and revenue management, proposing AI-enabled solutions like advanced analytics software and AI-driven fare manipulation. The report details the application of various AI tools, including AI-enabled cameras, GPS tracking, weather sensors, and biometric recognition systems. It also explores the value proposition, targeted customers, competitive advantages, and technical and financial feasibility of these implementations. The report highlights the customer-centric approach of AIRBUS and its commitment to technological advancements, concluding with a discussion on the development of personal innovation and capabilities within the organization. It emphasizes the potential of AI to transform AIRBUS's operations and improve its overall business performance.

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1ARTIFICIAL INTELLIGENCE IN AIRBUS
Executive summary
This report highlights the contrasting aspects of the AI enabled tools and devices that are
required to be implemented in the infrastructure of the organization thereby will facilitate in the
enhancement of the customer satisfaction, flight security, elevated profit margins of the organization.
This report thoroughly analyses the contrasting properties of the AI enabled tools and justifies the
requirement for the implementation of these tools within the structural frame work of the organization
fetching the desired targets of the organization.

2ARTIFICIAL INTELLIGENCE IN AIRBUS
Table of Contents
Introduction...........................................................................................................................................3
Discussion.............................................................................................................................................3
Addressed Problem in AIR BUS.......................................................................................................3
Solution Concepts Portfolio...............................................................................................................3
Solution Selection Analysis...............................................................................................................5
Application of the selected tools........................................................................................................6
Value Proposition..............................................................................................................................7
Targeted Customers...........................................................................................................................7
Competitive Advantage and strategic fit............................................................................................7
Critical Advantage and Uncertainties................................................................................................7
Customer Desirability....................................................................................................................7
Technical Feasibility......................................................................................................................7
Financial Viability.........................................................................................................................8
Development of personal innovation and capabilities........................................................................8
Identification of personal strengths and weakness.............................................................................8
Conclusion.............................................................................................................................................9
References...........................................................................................................................................10

3ARTIFICIAL INTELLIGENCE IN AIRBUS
Introduction
This report aims to highlight the impact of the implementation of the AI enabled software
within the structural framework of the AIRBUS for the fulfilment of the business targets thereby
rendering the purpose of attainment of the elevated profit margins within the organization. This report
incorporates the following aspects- The loopholes and the demerits identified and recognised within
the infrastructure of the AIRBUS and the possible remedies in the line of combatting the same. This
report also includes the portfolio of the addressed problems encountered and the possible remedies,
the selection procedure for the appropriate methodologies.
This report further comprises the competitive advantage spectrum of the AIRBUS. This report
also includes the targeted customers of the AIRBUS and the critical aspects of the AIRBUS in terms
of the certain parameters like requirements of the customers, technical environment favourable for the
purpose of the implementation of the research and finally the financial support rendering back up to
the implementation of the above-mentioned AI enabled software.
Discussion
Addressed Problem in AIR BUS
The prevailing and the persisting problems that have been identified in the AIR BUS aviation
industry in Australia are summarized below:
 Severe maintenance problem is encountered in the Australian AIR BUS aviation
sector in the scenarios of natural calamities, which in turn renders hindrances in the
way of flight scheduling (McGovern et al., 2017). The major challenge encountered
is the incapability to predict and anticipate the upcoming weather forecasts. In due
course of this phenomenon, they lack the provision for the alternative arrangement for
the flights to accommodate the passengers for a particular route. Hence are compelled
to cancel the flight schedules, incurring huge challenge for the customers.
 The next contrasting challenge encountered by the AIR BUS is the failure in the
proper and proficient management of the revenue generated. This leads to the
emergence of unnecessary chaos in the organization, which adversely affects the pay
band of the employees that in turn affects the flight services.
Solution Concepts Portfolio
Problems encountered Suggested Remedy Expected Outcome
The biggest challenge
encountered is the failure in the
anticipation of the upcoming
The suggested remedy is the
requirement of the intrusion of
the ultrasensitive analytics
The expected outcome is the
passengers would not be
suffering from the hassles of

4ARTIFICIAL INTELLIGENCE IN AIRBUS
weather forecasts. This would
adversely affect the airline
services owing to the
incapability in providing
appropriate alternatives for the
accommodation of the
passengers of a particular
scheduled flight for a specific
route (Keller 2016). This
hampers the service of the AIR
BUS to a great extent and
eventually this would result in
the deviation of the preferences
of the customers to other
aviation industries.
software within the
infrastructure of AIRBUS that
will be capable of
accommodating the potentials
to anticipate the upcoming
weather forecasts. Based on the
prediction, the smart signal
software will send notification
to the centralized database of
the AIRBUS that will be
accessed by the internal server
of the AIRBUS (Vassilyev et
al., 2017). Accordingly, the
ASSET PERFORMANCE
MANAGEMENT SYSTEM
would facilitate the
arrangement of the
accommodation of the
passengers of that particular
route in some other aircrafts in
the adjoining days usually
within a span of 12-16 hours.
purchasing tickets for another
flight. In due course of this
procedure, the service quality
of the AIRBUS would be
enhanced manifold and this in
turn would turn out to be an
enticing approach that is
capable of luring more
percentage of customers
towards itself (Ernest et al.,
2016). This would contribute
to the enhancement in the
brand value of the
organization, thereby
generating huge revenue for
the AIRBUS.
Another contrasting hindrance
that has been encountered in
the way of progress of the
business growth and
development of the AIRBUS is
the weak and incompetent
management of the revenue
system of the organization
(Sattler, 2018). The factors that
has contributed to the weak
management of the revenue
system of the AIRBUS are: 1)
Incompetency in the analysis
resulting in the poor strategy of
The suggested remedy is the
incorporation of the interface
and applications supporting big
data and data science to
perform thorough and
extensive analysis on the
collected data in relevance to
the pricing thresholds of the
organization. This in turn
would help in the anticipation
of the upcoming factors based
on which the pricing set up
would be established; hence,
this software would equip the
organization with the potentials
The expected outcome is the
increment in the percentage of
the customers owing to the
customised and revised flight
fares that fits their budget, in
contrast to the fares set up by
the other contemporary flight
industries rendering the same
facilities but at a higher cost
(Horowitz et al., 2018).
Moreover, the incorporation of
this artificial intelligence
enabled software would wipe
out the prevailing
discrepancies in the AIRBUS

5ARTIFICIAL INTELLIGENCE IN AIRBUS
setting up prices for the flights.
2) The lack of a proper
management system for the
purpose of dispatching the
salary of the employees of the
organization. The particular
citations in this scenario are: 1)
Dispatching unnecessary high
wage to certain band of
employees higher than the
proposed remuneration level,
adversely affecting the profit
margin of the organization.
2) Dispatching remuneration at
a lower rate than the proposed
one, generating higher level of
discontent among the
employees, thereby hampering
the production procedures of
the organization.
to set the pricing strategy for
the organization (Ernest et al.,
2016). The pricing is based on
the calculation of certain
parameters like seat
availability in a particular
flight, the time duration for the
travel, the distance to be
covered and finally the demand
for the seats of the flight during
the peak seasons. This software
should also be capable to
address the persisting problems
that may creep sometimes in
the scenario that is the excess
dispatch of the remuneration to
the employees and in some
worse cases the deficit in the
salary provided to the
employees. The software
integrated with Artificial
Intelligence is capable of
analysing the proposed salary
structure from the centralised
database and accordingly helps
in the dispatch of the
remuneration to the employees.
in regards to the remuneration
dispatched to the employees.
That in turn would wipe out the
discontent feeling from the
employees. This would
facilitate the higher
productivity rate of the
AIRBUS resulting in the
elevation in the annual turn
over of the organization.
Solution Selection Analysis
The eight tools that are artificial intelligence enabled and are required to be incorporated in
the structural framework of the AIRBUS for the facilitation of the enhancement in the business
requirements are summarized below:
 Artificial Intelligence enabled cameras and sensors within the aircraft.
 Artificial intelligence enabled advanced GPS tracking devices.
 Artificial Intelligence enabled weather-sensing devices.

6ARTIFICIAL INTELLIGENCE IN AIRBUS
 Artificial Intelligence oriented software capable of connecting to the centralised
database.
 Artificial Intelligence enabled biometric recognition of the passengers.
 Artificial Intelligence enabled face recognition for the passengers.
 Artificial Intelligence enabled modular scanning devices.
 Artificial Intelligence enabled fare-manipulating devices.
Application of the selected tools
The application of the above mentioned selected tools are depicted below:
 AI enabled cameras and sensors in the aircrafts- This would facilitate the constant
monitoring of all the activities exhibited by the passengers in course of travel within
the aircraft (Ernest et al., 2016).
 Artificial intelligence enabled advanced GPS tracking devices- This would facilitate
the tracking of the baggage and the luggage of the passengers in case of displacement.
 Artificial Intelligence enabled weather-sensing devices- This device would help in the
prediction of the upcoming weather forecasts and the authority will act in accordance.
 Artificial Intelligence oriented software capable of connecting to the centralised
database- This device would facilitate the extraction of the data from the centralised
database and performs data analysis on the same (Sattler, 2018).
 Artificial Intelligence enabled biometric recognition of the passengers- This tool
helps in the authentication of the passengers on the basis of their government
registered identity.
 Artificial Intelligence enabled face recognition for the passengers- This tool will also
facilitate in the recognition of the customers in regards to facial detection.
 Artificial Intelligence enabled modular scanning devices- This scanning device would
provide the provision for the scanning of any hazardous materials carried along with
the baggage (McGovern et al., 2017).
 Artificial Intelligence enabled fare-manipulating devices- This device performs
statistical data analysis on the collected data based on certain parameters and
ascertains the convenient price rates for the travel in accordance to the budget of the
passengers.

7ARTIFICIAL INTELLIGENCE IN AIRBUS
Value Proposition
The implementation of the AI in the infrastructure of AIRBUS would eventually help in the
gain of brand value and business value of the organization. This is accomplished through:
 AI enabled devices help in the prediction of the upcoming weather conditions and
accordingly the organization would provide alternatives for the accommodation of the
passengers.
 AI enabled devices would facilitate the statistical analysis of the previous data of the
organization and this would help in the forecasting of the upcoming data and
accordingly will customize their strategic planning in that way, thereby earning
increased revenue for the organization (Keller, 2016).
 AI enabled devices also provides the provision for the authentication of the identity of
the passengers.
 AI enabled tools also helps in the safeguard of the system through the provision of AI
enabled cameras, sensors and GPS tracking.
Targeted Customers
The targeted customers of the AIRBUS industries incorporates all the segments of the
customers- the delegates, the VIPs, the business tycoons, the small scale business personnel and the
common civilians.
Competitive Advantage and strategic fit
Competitive advantage is the advantage achieved in terms of competition. For any industries,
the biggest challenge encountered in the way of business growth, is the competition imposed by the
rivals. AIRBUS is successful in gaining advantage in terms of tough competition through the
provision of the benefits like convenient fare, higher security protocols and the customer satisfaction
rendered by them. This had been made feasible through the intrusion of the AI enabled software and
devices within the infrastructure of the organization.
Critical Advantage and Uncertainties
Customer Desirability
AIRBUS is very much customer centric organization. This organization brings out necessary
alterations in the structural framework of the organization keeping in mind the desires and the
requirements of the customers (McGovern et al., 2017). In addition to this, AIRBUS also marks the
threshold price of the tickets keeping in mind of the viability and the fulfilment of the budgets of the
customers.

8ARTIFICIAL INTELLIGENCE IN AIRBUS
Technical Feasibility
AIRBUS has brought out certain diversified alterations in the technological aspect of the
infrastructure only after the proper testing of the viability of the IT experts and the technical
feasibility of the organization (Strong, 2016). The IT department and the RND of the AIRBUS are
capable enough to endure diversified challenges and bring out the necessary innovations for the
accomplishment of the business requirements of the organization.
Financial Viability
AIRBUS is a reputed and branded organization in Australia. The financial environment of the
organization is capable enough to support the experiments and the researches required for the purpose
of innovation, bringing out drastic change in the organization that would facilitate the parabolic
expansion of the business volume of the organization (Morris et al., 2016).
Development of personal innovation and capabilities
According to me, the suggested innovations that can be brought out in the organizational
structure are:
 I must suggest that the excise duty levied on the carrying of particular category of
products should be minimized as this would be an enticing approach to draw the huge
bulk of the customers towards itself. The government body of a country governs the
excise duty. However, top to that certain airlines impose additional tax on that
particular category of item. As per my opinion, the AIRBUS should not impose this
additional tax on that particular item.
 My second suggestion is that imparting proper education in terms of behaviour to the
flight crews who would serve the passengers with services and care. It has been
observed in many flights that the behavioural output portrayed to the passengers on
behalf of the airlines is pathetic and not up to the mark. The behaviour portrayed to
the customers is an essential criterion in the luring of the customers towards that
particular organization.
Identification of personal strengths and weakness
From my perspective point of view, the strengths of the AIRBUS are:
 Customer retaining property on the basis of the services rendered to them on the
behalf of the AIRBUS.
 Strong security system for the purpose of checking the baggage thereby ensuring the
safety of the flight and the passengers travelling.
According to my point of view, the addressed weakness of the AIRBUS are as follows:
 The lack of a weather forecasting system.

9ARTIFICIAL INTELLIGENCE IN AIRBUS
 Weak data analysis system for the purpose of analysis of the previous year pricing of
the fares and the operational costs, based on which the pricing strategy should be
adopted.
Conclusion
This report concludes the role of AI implementation in the AURBUS fetching the purpose of
overcoming the demerits of the organization and accomplishment of the business targets in terms of
business revenue and elevated profit margins to be incurred. This report analyses the AI enabled tools
and software that fits the business requirements of the organization. The AI enabled devices and tools
that holds significance in this regard are the AI enabled smart sensor oriented cameras fetching the
purpose of monitoring the activities of the passengers within the flight, which will wipe out the
misconduct activities for both the passengers and the flight attendants.
AI enabled GPS tracking devices for tracking the luggage and the baggage of the passengers
in case of misplacement. AI enabled weather-sensing devices capable of predetermining the upcoming
weather forecasts and the corresponding arrangements for the substitutes for the passengers. AI
enabled software capable of accessing customer information from the database. AI enabled statistical
data analysis software that will assist in the pricing strategy of the organization. Hence, this has been
clarified in this report through the performance of the thorough analysis that AI enabled software are
required to be incorporated within the structural framework of the organization for the purpose of the
fulfilment of the business requirements.

10ARTIFICIAL INTELLIGENCE IN AIRBUS
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