Transparent Pricing
From $2,995
per month/yearly contract*
From $7,995
per month/yearly contract*
From $400
per 1000 pages/pay-as-you-go pricing*
*Setup, integration, and customization fees extra.
Get Your Answer About AI in Aviation
Machine learning in Inventory AI is used to continuously analyze and learn from data, making accurate predictions about inventory requirements. It helps in identifying patterns and trends in inventory usage, which allows for dynamic adjustments to stock levels and ordering processes. This technology is crucial for handling the complex data and operational needs of the aviation industry, ensuring that inventory management is both efficient and effective.
AeroGenie significantly boosts productivity by automating routine data tasks and providing instant responses to data queries. It allows users to focus on strategic work by handling data retrieval and analysis through simple conversations. AeroGenie delivers real-time insights directly from ERP data, facilitating agile and informed decision-making. This always-on assistance ensures that users have continuous access to up-to-date information, enhancing overall operational efficiency.
Predictive analytics in Inventory AI plays a crucial role in anticipating future inventory needs and optimizing stock levels. By analyzing historical data and identifying trends, the system can predict demand and adjust inventory accordingly. This proactive approach helps reduce stockouts, manage lead times, and improve overall supply chain efficiency. Predictive analytics ensures that aviation companies can maintain optimal inventory levels, minimizing costs and maximizing availability.
Inventory AI improves purchasing efficiency through automated ordering and precision forecasting. The system analyzes real-time data to determine the optimal times and quantities for reordering parts and supplies. This automation reduces the need for manual intervention, ensuring that purchasing decisions are based on accurate, data-driven insights. By streamlining the procurement process, Inventory AI helps aviation companies reduce costs, minimize stockouts, and maintain optimal inventory levels, ultimately enhancing overall operational efficiency.
Document AI leverages deep learning models to enhance data extraction accuracy and integrity. Unlike traditional OCR, which struggles with complex layouts and varying document quality, Document AI understands the context of the data, ensuring high precision in field and character recognition. It adapts to new patterns over time, reducing errors and maintaining data integrity. This technology is particularly beneficial for handling intricate aviation documents, such as airworthiness certificates and IPC documents, ensuring reliable data capture and processing.
Document AI’s deep learning capability allows it to continuously adapt to new aviation document patterns and improve its accuracy over time. As the system processes more documents, it learns from the data and identifies new patterns and anomalies. This adaptive learning process enables Document AI to handle a wide variety of document types and formats with increasing precision. By staying up-to-date with evolving document structures, Document AI ensures that it can reliably extract and process data from even the most complex aviation documents, maintaining high standards of accuracy and efficiency.
Custom AI can analyze historical data and current maintenance schedules to predict the optimal times for work orders, ensuring that resources are used efficiently and maintenance is performed proactively. This reduces downtime and improves the overall reliability of the fleet.
Custom AI uses machine learning algorithms to analyze workload patterns, availability, and skill sets of mechanics to create the most efficient schedules. This ensures that the right mechanic is assigned to the right task at the right time, minimizing delays and maximizing productivity.
Custom AI enhances automated compliance reporting by continuously monitoring and documenting all maintenance and operational activities. It ensures that every task is logged accurately and promptly, providing real-time compliance updates and reducing the risk of regulatory non-compliance. This automation streamlines administrative tasks and ensures that airlines can easily produce required reports during audits and inspections.
Our Custom AI system is designed to handle over 100 million rows of data, making it suitable for large-scale operations and complex datasets typical in the aviation industry. This capability ensures that you can manage extensive data without compromising on performance or accuracy.
Inventory AI uses a combination of machine learning and artificial intelligence to optimize inventory management specifically for the aviation industry. It employs advanced algorithms to analyze vast amounts of data, predicting future inventory needs and optimizing stock levels. The system integrates seamlessly with ERP systems, providing real-time data synchronization and comprehensive reporting. The technology ensures that inventory levels are maintained accurately, reducing stockouts and improving purchasing efficiency through automated ordering and precision forecasting.
AeroGenie incorporates several advanced security features to protect sensitive data. These include robust encryption protocols for data transmission and storage, ensuring that all information is securely handled. The chatbot also implements access controls and authentication measures to restrict data access to authorized users only. Additionally, AeroGenie is designed to comply with industry standards and regulations, providing an extra layer of assurance that sensitive aviation data is kept safe from unauthorized access and breaches.
The AeroGenie ERP Chatbot revolutionizes how users interact with their ERP data by using natural language processing (NLP). This AI-powered chatbot allows users to query their ERP systems using simple, intuitive conversations, making data access and insights more accessible. AeroGenie provides instant data retrieval, boosting productivity by minimizing manual data tasks and offering real-time, data-driven insights for informed decision-making. It operates 24/7, ensuring continuous support and access to crucial data.
Email AI prioritizes data privacy and security by incorporating robust security protocols throughout the data processing lifecycle. The system uses advanced encryption methods to protect sensitive information during extraction and transmission. Additionally, it includes features such as direct ERP updates, which minimize manual data handling, further reducing the risk of data breaches. Email AI is designed to comply with industry standards and regulations, ensuring that all customer data is handled securely and confidentially.
Document AI is specifically designed to manage complex aviation documents with high accuracy. It uses deep learning-enhanced AI to extract data from intricate fields, ensuring that even the most challenging documents are processed correctly. The system can handle up to 1,000 pages simultaneously, making it ideal for large-scale document management tasks. This capability ensures that all relevant data is captured and maintained accurately, providing reliable insights for aviation operations.
Email AI transforms email management by automating the extraction of key data points from customer emails, such as line items, quantities, and urgencies. It directly updates ERP systems, eliminating the need for manual data entry and significantly reducing the time spent on processing orders and quotes. This AI-driven approach enhances accuracy and consistency, ensuring that all relevant information is captured and categorized correctly. By streamlining email management, Email AI allows aviation companies to handle high volumes of emails efficiently, focusing on more critical tasks.
ePlaneAI offers a range of Custom AI solutions tailored for Airlines MRO operations, including optimizing work orders with machine learning, optimizing mechanic scheduling with machine learning, and optimizing unscheduled maintenance. These solutions are designed to enhance efficiency and effectiveness in maintenance, repair, and operations.
Custom AI can predict potential failures and maintenance needs before they become critical, allowing for proactive unscheduled maintenance. This reduces unexpected downtimes and ensures that aircraft are maintained in optimal condition, enhancing safety and operational efficiency.
Maintenance task prioritization with Custom AI involves using machine learning to rank maintenance tasks based on urgency, impact, and resource availability. This ensures that the most critical tasks are addressed first, improving overall maintenance efficiency and aircraft readiness.
The Custom AI solution offered by ePlaneAI is highly scalable, capable of handling increasing amounts of data and growing with your business needs. Whether you are managing a small fleet or a large one, our AI solutions can adapt and scale to meet the demands of your operations.