World leading provider of resource optimization systems within commercial aviation, partnering with Algorithma to scale implementation expertise through AI.

The Challenge

Jeppesen is a world leading provider of resource optimization systems within the commercial aviation industry, helping airlines find optimal schedules for aircraft and crew. Their resource optimizers must navigate a complex landscape of local, regional and global regulations as well as union agreements, leading to highly configured, time-intensive implementation projects. As more airlines turn to Jeppesen for optimization, the core challenge is how to rapidly scale specialized implementation expertise to meet growing demand and accelerate time-to-value for their clients.

Our Solution

Jeppesen and Algorithma partnered to explore and identify avenues where AI could increase their implementation efficiency. Each implementation contains customer specific code, which though unique to its project, contains similarities between them. By leveraging AI to make specialized project code instantly searchable, we improved institutional knowledge sharing. Additionally, due to the product's need to be highly configured, each project depends on a multifaceted set of information sources for product API documentation, Best Practices as well as process descriptions. We built an AI to search and extract key information from these documents, helping developers and others understand and find the correct information, increasing efficiency of the implementation. To further assist in implementation speed, we are together with Jeppesen developers, actively researching an intelligent agent tailored to the developers' workflow as a code assistant agent for Jeppesen's proprietary languages.

Key Results

Technologies & Methods