Morristown, 7960, NJ,
United States
Schindler Elevator Corporation (U.S.) Technographics
Schindler Elevator Corporation (U.S.) Technographics, Software Purchases, AI and Digital Transformation Initiatives
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.
Schindler Elevator Corporation (U.S.) Tech Stack and Enterprise Applications
Schindler Elevator Corporation (U.S.) ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| SAP | Legacy | SAP ERP ECC 6.0 | ERP Financial | ERP | n/a | 2013 | 2013 |
In 2013, Schindler Elevator Corporation (U.S.) deployed SAP ERP ECC 6.0 as its ERP Financial platform. SAP ERP ECC 6.0 was positioned to support core finance and transactional processing across the U.S. business.
The implementation included work on SD sales, SM Service Management, MM manufacturing, and FI finance modules, with analysis and programming support focused on configuration, module-specific development, and functional testing. Typical ERP workflows addressed included order-to-cash in SD, service management workflows in SM, materials and inventory handling in MM, and record-to-report and accounts payable functions in FI.
An Optical Character Recognition project for Accounts Payable was implemented in parallel with SAP ERP ECC 6.0, and support activities covered testing and resolving issues to align OCR output with AP posting and validation workflows. Workstreams emphasized exception handling, document-to-invoice matching validation, and configuration adjustments necessary to route captured documents into FI accounts payable transactions.
Operational scope spanned sales, service, manufacturing, and finance departments within Schindler Elevator Corporation (U.S.), with delivery coordinated across analysis, programming, and testing teams. Governance focused on cross-team issue triage and iterative testing cycles to validate module configurations and resolve defects during rollout.
|
|
|
|
|
Expense Management | ERP |
|
2015 | 2015 |
|
Schindler Elevator Corporation (U.S.) HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| UNIT4 | Legacy | Unit4 Prosoft HRMS | Core HR | HCM | n/a | 2015 | 2015 |
In 2015, Schindler Elevator Corporation (U.S.) implemented Unit4 Prosoft HRMS as its Core HR application for U.S. HR operations, covering an employee population of approximately 20,000. The engagement centered on deploying Unit4 Prosoft HRMS to establish a centralized employee master and standardize Core HR workflows across HR, payroll interfacing points, and timekeeping reconciliation.
Configuration work focused on Core HR modules including employee records, organizational hierarchy, benefits administration, and time and attendance data models. Unit4 Prosoft HRMS was configured to host consolidated personnel attributes, employment events, and accrual structures, with data model alignments performed to accommodate existing Schindler HR business rules.
A primary technical signal was assisted data conversion and manual entry from the Timesoft system into Unit4 Prosoft HRMS, which required extraction, mapping, and validation of timekeeping and related payroll accrual fields against the new Prosoft schema. The effort emphasized staged data loads, record-level reconciliation, and cutover validation to ensure Timesoft time and attendance elements reconciled to Prosoft employee identifiers and organizational units.
Governance activities established role-based access for HR data stewardship, defined data ownership for converted records, and aligned transactional HR processes to the Prosoft configuration. The implementation narrative documents a phased approach to data conversion, configuration of Core HR functional controls, and operational handoff to Schindler HR teams for ongoing administration of Unit4 Prosoft HRMS.
|
|
|
|
|
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 |
|
Schindler Elevator Corporation (U.S.) 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.
|
Schindler Elevator Corporation (U.S.) Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Collaboration | Collaboration |
|
2016 | 2016 |
|
Schindler Elevator Corporation (U.S.) 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 |
|
Schindler Elevator Corporation (U.S.) 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 |
|
Schindler Elevator Corporation (U.S.) Procurement
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Procurement | Procurement |
|
2009 | 2009 |
|
|
|
|
|
Supplier Relationship Management | Procurement |
|
2009 | 2009 |
|
Schindler Elevator Corporation (U.S.) 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 |
|
Schindler Elevator Corporation (U.S.) PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2020 | 2020 |
|
Schindler Elevator Corporation (U.S.) 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 |
|
Schindler Elevator Corporation (U.S.) 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.)
Apps Being Evaluated by Schindler Elevator Corporation (U.S.) Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||