SkyLoad iQ is an intelligent air cargo decision-making and loading optimization software launched by Olintek, officially positioned as a cutting-edge intelligent decision-making software for aircraft cargo compartment loading and ULD (unit load device) build-up. Its core goal is to use AI and high-efficiency computing to optimize air cargo revenue, improve aircraft loading efficiency, and help users achieve higher revenue levels.
In terms of use, SkyLoad iQ mainly serves air cargo loading planning and revenue optimization scenarios. The official description states that its AI intelligent decision-making technology is crucial in modern air cargo logistics, improving the efficiency and accuracy of loading and ULD build-up processes through visualized, automated cargo loading optimization. The software is aimed at roles such as airline cargo loading planners, GHAs, GSAs, and air freight forwarders, helping them address reliability challenges (such as differing dimensions, types, and priorities of export and transfer cargo, cargo origins, timeliness, weight limits of different aircraft types, operational site impacts, and complex cargo stacking rule calculations and performance evaluation) and safety challenges (integrating regulations, aircraft technical parameters, cargo and flight status, and other relevant loading factors, complying with IATA and airline loading standards, and achieving optimal center of gravity and maximum operational stability).
Main capabilities include:
- 3D visualization: Loading planners can clearly understand key information such as each ULD loading position, cargo loading density, and weight distribution within the cargo compartment through intuitive 3D graphics, and view how many available loading positions remain on the aircraft, quickly grasp the sales quotes for these spaces, thereby formulating more accurate CBA loading plans and making necessary adjustments.
- Intelligent optimization engine SkyOptimizer: Automatically evaluates total cargo weight and volume, and while maximizing the use of cargo compartment space, automatically generates loading plans according to constraints and rules set for different aircraft types, meeting the aviation industry's need for more flexible and efficient handling of complex aircraft loading and ULD build-up, while improving business performance and revenue.
- Cargo revenue optimization: Effectively optimizes ULD loading space by maximizing the utilization of cargo compartment space and weight limits.
- Cargo planning and charter quotes: The official description mentions that the SkyCube iQ tool can assist with charter flight quotes, helping GHAs, GSAs, and air freight forwarders improve operational efficiency and ensure cargo loading quality; it can quickly generate charter loading plans and quotes, set booking conditions for forwarders, accurately forecast cargo volume, automatically optimize loading space calculations, and quickly estimate the required ULD types and quantities, thereby maximizing the utilization of each ULD.
- External system interfaces: Provides data interfaces with external systems, allowing flexible use of SkyOptimizer API functions, meeting the development needs of various system data interfaces, for example, integrating with a company's internal management system, or integrating SkyOptimizer into its own system.
In terms of usage, the official description states that its optimization solution can be deployed not only on public clouds but also on private clouds, offering high flexibility and scalability; users can automatically adjust resource scaling as needed, or seamlessly integrate the system into existing architectures. The software provides a concise and intuitive user interface, working in concert with an intelligent optimization engine and powerful computing capability to provide users with high-quality results while allowing users to retain control over decisions. The official also emphasizes the importance of computing power, stating that SkyLoad iQ has fast, accurate, and powerful computing capability, and lists the dimensions involved, including number of dimensions, number of packages, number of ULD types, computation time (minutes), and other metrics (the official does not provide specific values).
Applicable scenarios cover airline cargo loading planning, charter loading plans and quotations, freight forwarder booking condition settings, cargo volume forecasting, ULD type and quantity estimation, and more. In terms of limitations, the official materials do not clearly list specific system requirements, a list of supported aircraft models, pricing, free trial policy, or specific values for computational performance; regarding accuracy, compliance, and integration details, all must be based on the official actual documentation and actual deployment. The official also points out that AI is used to assist with handling tasks, and ultimately users still need to judge whether the AI results are correct or not; AI is a tool for improving work efficiency and solving specific business problems.
