Morristown, 7960, NJ,
United States
Schindler Elevator Corporation (U.S.) Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Schindler Elevator Corporation (U.S.) and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20000 Schindler Elevator Corporation (U.S.) employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Schindler Elevator Corporation (U.S.) has purchased the following applications: SAP ERP ECC 6.0 for ERP Financial in 2013, Unit4 Prosoft HRMS for Core HR in 2015, FogHorn Lightning EdgeML for ML and Data Science Platforms in 2017 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Schindler Elevator Corporation (U.S.) is running and its propensity to invest more and deepen its relationship with SAP , UNIT4 , Willis Towers Watson or identify new suppliers as part of their overall Digital and IT transformation projects to stay competitive, fend off threats from disruptive forces, or comply with internal mandates to improve overall enterprise efficiency.
We have been analyzing Schindler Elevator Corporation (U.S.) revenues, which have grown to $10.45 billion in 2024, plus its IT budget and roadmap, cloud software purchases, aggregating massive amounts of data points that form the basis of our forecast assumptions for Schindler Elevator Corporation (U.S.) intention to invest in emerging technologies such as AI, Machine Learning, IoT, Blockchain, Autonomous Database or in cloud-based ERP, HCM, CRM, EPM, Procurement or Treasury 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 |
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Expense Management | ERP Financial Management |
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2015 | 2015 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| UNIT4 | Legacy | Unit4 Prosoft HRMS | Core HR | HCM | n/a | 2015 | 2015 |
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Core HR | HCM |
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2016 | 2016 |
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Performance and Goal Management | HCM |
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2016 | 2016 |
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Performance and Goal Management, Employee Experience | HCM |
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2019 | 2019 |
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Recruiting, Applicant Tracking System | HCM |
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2016 | 2016 |
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Succession and Leadership Planning | HCM |
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2016 | 2016 |
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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.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2016 | 2016 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Digital Asset Management | Content Management |
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2020 | 2020 |
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Digital Signing | Content Management |
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2021 | 2021 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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CRM | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2013 | 2013 |
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Marketing Automation | CRM |
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2014 | 2014 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Procurement | Procurement |
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2009 | 2009 |
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Supplier Relationship Management | Procurement |
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2009 | 2009 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Critical Event Management | TRM |
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2018 | 2018 |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2020 | 2020 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Web Gateways (SWG) | CyberSecurity |
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2011 | 2011 |
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| First Name | Last Name | Title | Function | Department | Phone | |
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