Every day, people send out hundreds of emails requesting private aicrafts for charter. On of our clients, True Aviation, wanted to connect people who had private aircrafts available along a specific route with people who wanted to travel on that route. For this, they required an interface that allowed email requests to be searchable by arrival and departure airports, dates & times, and aircraft types.
Since different people put in requests in different formats and writing styles, using a traditional rule-based parser was not a viable option.
Recognizing that standard rule-based parsers fail with varied inputs, we engineered a custom Deep Learning model (a powerful form of Machine Learning). This allows the system to automatically extract desirable information (departure, arrival airports, dates, etc.) and display it in a searchable format, regardless of the writing style.
One major challenge was that a single request often included multiple routes (e.g., the person wants to go from airport A to B on a specific date, and then from B to C on some other date).
To solve this, our solution follows a two-stage strategy:
Our final deliverable was a real-time, web-based interface which receives requests, processes them using our machine learning model, and displays the extracted data.
Our AI model achieved an extraction accuracy of around 98%, translating directly into saving dozens of hours spent each week by private aircraft charter agencies manually going through requests.
This significant enhanced operational efficiency allows human agents to shift their focus to high-value client relations and booking confirmations over manual data processing.
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AxcelerateAI offers cutting-edge AI solutions, specialising in building and deploying custom machine learning models to help businesses optimise operations, enhance decision-making, and drive growth.