Empowering tech ops teams to make confident AI-augmented decisions for faster and more efficient problem resolution and reporting
Challenge: A renowned aircraft manufacturer looked to improve how it managed spare part inventory for 15,000 out-of-production aircraft. As parts would need to be produced on demand, with lead times up to six months, it was essential to predict need ahead of time.
Solution: By classifying part repairs and defects, Intel® Saffron™ AI was able to predict part life-spans and anticipate future spare part needs by class. Furthermore, using past outcomes, it was able to identify available substitute parts that did not require fabrication. The manufacturer reduced part decision time from 4 hours on average to in average 5 minutes, and locate part suppliers faster.Read the Case Study
Finds the closest match to the issue under review, across both resolved and open cases, identifying paths to resolution from previous cases and surfacing duplicates to reduce backlogs
Automatically classifies work orders into pre-set categories, regular mandated or self-defined, to speed up and increase accuracy of reporting and improve operations planning