What challenges did KONE face before AI implementation?

KONE needed a robust, scalable IoT platform to connect and monitor a large fleet of smart elevators and escalators across 60+ countries. Legacy IoT platform was limited in scalability, and a new solution was required to support near-real-time data ingestion and analytics for urban flow optimization.

What was the impact of the AI solution?

Reduced maintenance callouts by 40%, significantly lowering operational costs. Provisioning success rate achieved close to 100%, improving device activation and connectivity. Device fleet scale expanded fivefold from 100,000 to 500,000 devices without degrading service performance. Facilitated AI innovation and digital twin proofs of concepts to improve urban building management.

Source

ProductionEvidence: Medium65/100

KONE Unlocks New Efficiencies Using AWS IoT

Use case typePredictive maintenanceUpdated Jun 13, 2026

KONE, a global leader in elevator and escalator industry, built a robust and scalable IoT platform using AWS IoT Core and related services to connect and monitor a growing fleet of smart devices. The challenge was to improve operational efficiency, reduce maintenance callouts, and support a large device base with highly available cloud architecture. The solution involved migrating to AWS IoT Core, AWS IoT Device Management, AWS IoT TwinMaker, Amazon Simple Storage Service, and AWS Professional Services to enable near-real-time monitoring, provisioning, and predictive maintenance. The impact included a 40% reduction in customer-reported issues and entrapment incidents, improved provisioning success near 100%, device fleet scale increasing from 100K to 500K, and foundation for AI and digital twin innovations.

Organization: KONE
Industry: Manufacturing
Location: Finland
Published: April 2026

Reported outcomes

−40%

costCost savings

100%quantified impact

Strategic outcomes

Scale & capacityExpanded device fleet to support much larger scaleCost efficiencyReduced maintenance callouts and operational costsSpeed & agilityImproved device provisioning successInnovation & cultureEnabled AI and digital twin innovation

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Cost: 40% decrease

AWS Customer StoriesApr 29, 2026Customer storyInferred claimMedium evidence strength

Reduced maintenance callouts by 40%, significantly lowering operational costs.

Normalized claim

Quantified impact: 100%

AWS Customer StoriesApr 29, 2026Customer storyInferred claimMedium evidence strength

Provisioning success rate achieved close to 100%, improving device activation and connectivity.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: KONE
Provider: AWS
Maturity: Production
Linked source: AWS Customer Stories

The challenge was to improve operational efficiency, reduce maintenance callouts, and support a large device base with highly available cloud architecture

Customer identity supportedSource describes one deploymentMaturity supported

Primary read

Use case focus

Showing 3 of 3

1IoT
2Predictive Maintenance
3Digital Twin

KONE needed a robust, scalable IoT platform to connect and monitor a large fleet of smart elevators and escalators across 60+ countries.
Legacy IoT platform was limited in scalability, and a new solution was required to support near-real-time data ingestion and analytics for urban flow optimization.

Rebuilt IoT infrastructure using AWS native IoT services and AWS Professional Services.
Deployed AWS IoT Core for device connectivity, AWS IoT Device Management for device monitoring and management, and AWS IoT TwinMaker for digital twin capabilities.
Data was stored in Amazon S3 enabling advanced analytics and AI workloads.

Technologies

AWS IoT Core AWS IoT Device Management AWS IoT TwinMaker Amazon Simple Storage Service

Reduced maintenance callouts by 40%, significantly lowering operational costs.
Provisioning success rate achieved close to 100%, improving device activation and connectivity.
Device fleet scale expanded fivefold from 100,000 to 500,000 devices without degrading service performance.
Facilitated AI innovation and digital twin proofs of concepts to improve urban building management.

Architecture

Architecture uses AWS IoT Core for device connectivity, AWS IoT Device Management for fleet monitoring, AWS IoT TwinMaker for digital twins, storage in Amazon S3, and integration with analytics and AI services. The solution emphasizes scalability, reliability, and secure provisioning across global operations.

Sources & evidence1

Evidence: Medium65/100Evidence strength