AI Buyer Insights:

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Schindler Elevator Corporation (U.S.) Data, Technology Stack, and Enterprise Applications
ERP Financial Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
SAP Legacy SAP ERP ECC 6.0 ERP Financial ERP Financial Management n/a 2013 2013
Expense Management ERP Financial Management 2015 2015
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
UNIT4 Legacy Unit4 Prosoft HRMS Core HR HCM n/a 2015 2015
Core HR HCM 2016 2016
Performance and Goal Management HCM 2016 2016
Performance and Goal Management, Employee Experience HCM 2019 2019
Recruiting, Applicant Tracking System HCM 2016 2016
Succession and Leadership Planning HCM 2016 2016
AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Johnson Controls Legacy FogHorn Lightning EdgeML ML and Data Science Platforms AI Development n/a 2017 2018
In 2017 Schindler Elevator Corporation implemented FogHorn Lightning EdgeML as an ML and Data Science Platforms deployment to deliver real-time edge analytics on elevator telemetry. The FogHorn Lightning EdgeML implementation was aimed at generating actionable insights into elevator activity to enable predictive and pre-emptive maintenance for Schindler and its customers. FogHorn Lightning EdgeML was configured to perform on-device model inference and streaming analytics, ingesting sensor telemetry, extracting features, and executing anomaly detection and event classification locally. Functional capabilities implemented included telemetry ingestion, feature engineering at the edge, lightweight machine learning inference, and rules-based alerting to surface maintenance triggers with low latency. Operational coverage centered on field service and maintenance functions, with edge-generated alerts and activity insights routed into Schindler service workflows and customer maintenance planning. Governance emphasized operationalizing alerts into inspection and repair processes, and the edge intelligence enabled predictive and pre-emptive maintenance that reduced service disruption and lowered inspection and repair fees by about $2,000 per event.
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2016 2016
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Asset Management Content Management 2020 2020
Digital Signing Content Management 2021 2021
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
CRM CRM 2020 2020
Customer Experience CRM 2018 2018
Marketing Automation CRM 2013 2013
Marketing Automation CRM 2014 2014
Marketing Automation CRM 2021 2021
Sales Automation, CRM, Sales Engagement CRM 2021 2021
Procurement
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Procurement Procurement 2009 2009
Supplier Relationship Management Procurement 2009 2009
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Critical Event Management TRM 2018 2018
Governance, Risk and Compliance TRM 2021 2021
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2015 2015
Content Delivery Network IaaS 2020 2020
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Web Gateways (SWG) CyberSecurity 2011 2011
IT Decision Makers and Key Stakeholders at Schindler Elevator Corporation (U.S.)
First Name Last Name Title Function Department Email Phone
No data found
Apps Being Evaluated by Schindler Elevator Corporation (U.S.) Executives
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Schindler Elevator Corporation (U.S.) Technographics

Schindler Elevator Corporation (U.S.) is a Manufacturing organization based in United States, with around 20000 employees and annual revenues of $10.45 billion.

Schindler Elevator Corporation (U.S.) operates a diverse technology stack with applications such as SAP ERP ECC 6.0, Unit4 Prosoft HRMS and FogHorn Lightning EdgeML, covering areas like ERP Financial, Core HR and ML and Data Science Platforms.

Schindler Elevator Corporation (U.S.) has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP, UNIT4 and Johnson Controls.

Schindler Elevator Corporation (U.S.) recently adopted applications including DocuSign eSignature in 2021, Hubspot Marketing Automation in 2021 and Salesforce Sales Cloud in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Schindler Elevator Corporation (U.S.)’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Schindler Elevator Corporation (U.S.)’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Schindler Elevator Corporation (U.S.) technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.