AI case study

SK AeroSafety GroupMaintenance operations

Aggregating global data caused system lag. Now, AI predicts repair inflows, helping managers match technician capacity to demand.

Published|1 year ago

Key results

Margin Increase
1-2%

Result highlights

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The story

Context

A global aviation component maintenance provider responsible for inspecting and repairing aircraft parts across multiple international facilities.

Challenge

Management lacked visibility into shop floor performance, making it difficult to track technician utilization or revenue trends across the global...

Solution
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Quotes

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The company

SK AeroSafety Group logo

SK AeroSafety Group

skaerosafetygroup.com

Aviation maintenance and repair services for aircraft safety equipment.

IndustryAerospace & Defense
LocationWokingham, England, United Kingdom
Employees251-1K
Founded2011

The AI provider

Cloud-based data warehousing, processing, and analytics platform.

IndustrySoftware & Platforms
LocationBozeman, MT, USA
Employees5K-10K
Founded2012

The implementation partner

Built analytics dashboards and AI/ML predictive maintenance models for SK AeroSafety's shop floor.

IndustrySoftware & Platforms
LocationMontreal, QC, Canada
Employees11-50
Founded2019

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