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Manufacturing verified Verified Outcome TRL 9

Predictive Elevator Maintenance (MAX)

domain Client: A leading global elevator manufacturer handshake Provider: Microsoft Azure schedule Deploy: Q4 2018 (Scale)
94 Impact
Enterprise Ready
Evidence Score: 5/10
Strength: Very High

Executive Summary

ANALYST: COI RESEARCH

To transform its service business model, the manufacturer connected over 100,000 elevators to the cloud using IoT. The 'MAX' solution analyzes real-time telemetry (door cycles, motor temperature, acceleration) to predict component failure before it happens, enabling technicians to arrive with the right part before the customer even reports an issue.

rate_review Analyst Verdict

"The archetype for 'Servitization' in manufacturing. By moving from break-fix to predictive maintenance, the entity unlocked higher margin service contracts and drastically improved uptime, which is the primary KPI for their building manager customers."

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Full Audit Report Available Includes Risk Register, Technical Specs & Compliance Data.

warning The Challenge

Elevator downtime frustrates tenants and lowers building value. Traditionally, maintenance was schedule-based (inefficient) or reactive (too late). Technicians often arrived without the correct spare parts, leading to multiple trips and extended outages.

psychology The Solution

IoT gateways were retrofitted to elevator controllers. Data streams to Azure IoT Hub. Machine learning models identify 'pre-failure' patterns (e.g., door closing slower than average). This triggers an automated ticket in Dynamics 365 for the field technician.

settings_suggest Technical & Deployment Specs

Integrations
Dynamics 365 Field Service
Deployment Model
IoT / SaaS
Data Classification
IoT Telemetry
Estimated TCO / ROI
High
POC Summary (2015-01-01 to 2016-01-01)

"Pilot in key European markets."

shield Risk Register & Mitigation

Risk Factor Severity Mitigation Strategy
Connectivity Reliability Medium Cellular fallback; local data buffering.
Cybersecurity (OT) High One-way data diodes; secure boot hardware.

trending_up Impact Trajectory

Audited value realization curve

Connection of >100,000 elevators to Azure Verified Outcome
Primary KPIReduction in downtime by ~50%
Audit CycleIncrease in technician efficiency

policy Compliance & Gov

  • Standards: Elevator Safety Codes
  • Maturity (TRL): 9
  • Evidence Score: 5/10
  • Data Class: IoT Telemetry

folder_shared Verified Assets

description
Verified Case Study
PDF • Version 1
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Technical Audit
PDF • Audited
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Security Architecture

The "Blind Verification" Protocol

How we verified these outcomes for A leading global elevator manufacturer without exposing sensitive IP or identities.

Private
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1. Raw Evidence

Audit ID: #PRIV-846
Evidence: Direct SQL Logs
Public
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2. Verified Asset

Outcome: Verified
Ref ID: #COI-846

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