Have you ever thought about the vast amount of data produced at airports before? Think about flights, luggage, planes, and most importantly passengers! The popular concept the “big data” arouses interest in the airport world too. The main purpose of data analytics in the airport environment is to interpret the data which is generated from multiple sources like security checkpoints, retail areas, and airline systems so that aviation stakeholders can leverage their operational capacity and planning.
For a successful interpretation, the steps of data analytics should be studiously followed. Data collection, data cleaning, and data analysis must be taken seriously to steer the operations towards advancement based on measurable facts. Data analytics technologies such as machine learning and artificial intelligence help airports reach a data-driven approach.
Data Analysis in Aviation Industry
Nearly all industries try to exploit the advantages of AI when it comes to boosting productivity and increasing efficiency. Airports around the globe implement various algorithms to offer personalized services while enhancing passenger journeys. There are different AI-based methodologies employed at airports to use insights from previous periods to make meaningful predictions about airport operations.
1. Recommendation Engine:
Recommendation engines are frequently used in online shopping channels and the digital content distribution industry. This system easily filters the customer data and preferences through smart algorithms to build further recommendations. The system eliminates the information overload of customers and offers the most suitable option among various products and services. The logic behind the recommendation engine is increasing conversion rates or simply boosting sales. Moreover, it has a direct impact on customer satisfaction with the advanced user experience model that appeals to each customer.
Recommendation engines are useful for the aviation industry as well. The AI platform can analyze the historical data of passengers such as reservation history, ticket information, flight frequency, flight periods, and purchasing behaviors to personalize promotions and campaigns.
Chatbots are highly functional computer programs that simulate human conversations in different areas. Chatbots are equipped with functionalities to interpret phrases or words to reply with an instant pre-planned answer. Customers are accustomed to using chatbots through Facebook Messenger, Whatsapp, and Skype especially for their questions, demands, and complaints in various industries.
The aviation industry also benefits from the advantages of chatbots specifically in passenger processing and purchasing operations. People can search for a flight, evaluate the alternatives and buy their ticket after their basic questions are answered by the bots. Booking management is supported by these bots for a smooth passenger experience through messages or emails. Passengers are instantly notified about the status of their existing reservation.
Baggage handling can also be led by the help of chatbots. In case of a delay or luggage loss, passengers feel frustrated and make complaints about their problem if they are not satisfied with the service level. Bots can share the latest updates with the passenger at the arrival location by informing the estimated schedule. They can even process a claim for damaged or lost baggage. Airports can provide 24/7 customer assistance and reduce human contact. Automation in customer service steps allows employees to focus on other critical tasks within the operation.
Airports are central hubs for cities and even countries. Considering their important positions, they need to be retracted from possible risks as much as possible. Millions of baggage are processed in airports each day. It is a major issue to detect hazardous belongings before they become a real danger. Passenger baggage is screened more efficiently through an AI-based, robotic-assisted system that quickly troubleshoots and diverts high-risk baggage for deeper inspection.
4.AI-Based Video Analytics
AI-based video analytics uses algorithms and computer vision technology to look at video feeds, commonly taken from cameras to detect patterns and trends. The analysis happens in real-time and delivers actionable intelligence such as crowd gathering, people’s emotions, behaviors, general heat mapping, etc. Video analytics technology is also significant in viewing runways, taxiways, and aprons. Thus, important situations can be detected, and possible accidents are prevented.
Manage Your Airport Data with TAV Technologies AI-Based Solutions
TAV Technologies develops software solutions specially designed for airport management through using high-tech solutions and data analysis methodologies. These solutions clearly show the current situation of an airport. Furthermore, they make predictions based on seasonality, passenger volume, camera footage, or behavioral patterns.
One of the key duties of airports is managing passenger processes sufficiently. TAV Technologies Passenger Flow Management is a central system to follow basic passenger metrics such as passenger count, queue length, passenger wait times, passenger processing volume and counter allocation. These metrics are continuously followed by smart camera systems and reported periodically to offer a meaningful data analysis for airport operators. Thus, airports become more powerful in terms of managing their capacity and allocating resources accordingly.
TAV Technologies AI-Powered Pre-Order Platform is a powerful product recommendation solution that creates intelligent upselling and cross-selling product recommendations based on retailer product inventory and passenger behaviors. Airports can automatically promote, weight, and filter product recommendations throughout the passenger journey, all from an intuitive interface. The system collects customer data, order history, and traffic information saved by the app from the login stage to the sale point. It processes and analyzes the data to learn passenger needs and trends.
Pre-order platform is helpful for businesses in offering customized services, smarter promotions to increase the number and value of passenger orders. The solution discovers the items that passenger like and eases the process of choosing a selection. Thus, it directly affects passenger satisfaction and loyalty positively.
We all know how stressful it is to face a delay and flight cancellations. Changes in flight schedules do not only have an impact on passengers, but they also affect the cargo and other airport operations as well. TAV Technologies Flight Delay Prediction Solution processes historical data regarding airplane take-off and landing, actual departure times, scheduled departure times, airline carrier, time spent in the air, departure, destination, distance, and weather to predict potential flight delays. Prediction capability allows airports to change their assignments and re-schedule the resources in line with the new plan.
TAV Technologies is a professional partner for strengthening your digital capacity and data analytic needs at airports with its wide product and service portfolio.