Industry expertise
AI in aviation reshapes how companies approach their data to enhance internal operations, upgrade revenue streams and interact with customers.
Leading airlines are already using artificial intelligence to improve operational efficiency, avoid costly mistakes, and increase customer satisfaction, as actions such as booking a flight online or dynamic pricing are hardly an innovation these days.
These use cases are, however, just a fraction of AI potential. Properly implemented, AI can be a game-changer in increasing online sales and improving internal processes and thus passenger satisfaction at airports.
Below, we present the solutions to enhance aviation and airport processes on multi-levels.
Business benefits
Benefits
Challenges
Challenges
- Reducing the Number of Errors
- Detecting Potential Dangers and Disruptions
Accuracy in the process is crucial for the industry
There is no need to mention that the aviation, aerospace, and airport sectors are extremely sensitive to any errors, and accuracy in the process is the foundation not only for their cash flow.
Having said this, it is crucial for them to constantly increase the efficiency and accuracy of processes, and harnessing AI seems to be the only way of achieving these goals.
By reducing human inputs and replacing them with automated solutions, airline companies can gather a huge amount of multi-sourced data and analyze it in real-time. This approach can save the time of processing without any harm to their precise.
Airlines operate in a highly complex environment, where a number of factors potentially can cause damage.
Predicting them upfront and optimizing given assumptions is crucial to not only business operations but also – and above all – for the saftiness of passengers and crew.
Competition within the financial services industry is severe because many new, online-only players have entered the market, and their services are very appealing, especially to younger customers.
Moreover, consumers are less concerned with brand loyalty and identity and have no problem switching banks in exchange for convenience.
Solutions
Solutions
- Personalized recommendations
- Optimization internal workflows
- Self-service at the airports
- Predictive analysis
AI can improve the whole revenue stream
AI that tracks travel behaviors, search queries, and purchase history and – based on data gathered this way – it can create highly personalized offers, increasing customer retention, and lifetime value. By serving tailor-made offerings enhanced with dynamic pricing, marketing activities’ ROI can be significantly improved.
AI can improve the whole revenue stream, paired with automated conversational solutions, such as AR or chatbots software, that cut purchase path.
Flight route optimization
Machine learning can be used to find optimal flight routes. It can analyze flight efficiency, air navigation charges, fuel consumption, expected congestion level, can be explored, and even the weather to find the most cost-effective route, avoid travel disruptions, and adequately schedule the airline’s crew.
Improve passenger flow while keeping them safe
AI proved to be one the most reliable way to improve passenger flow from check-in to boarding with no compromise to their safety.
Smart contactless and biometrics technologies can recognize and verify passengers at security checks and detect potential dangers during luggage handling.
AI detects patterns in vast volumes of data
AI algorithms can detect patterns in vast volumes and – based on them – set the most optimized workflows by taking into account potential dangers and disruptions.
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