Bloomfield Hills, 48302, MI,
United States
Penske Corporation Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Penske Corporation and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50000 Penske Corporation employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Penske Corporation has purchased the following applications: Simio for Advanced Planning and Scheduling in 2020, SAS Forecast Server for Analytics and BI in 2022, Amazon EC2 for Application Hosting and Computing Services in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Penske Corporation is running and its propensity to invest more and deepen its relationship with Simio , SAS Institute , Amazon Web Services (AWS) 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 Penske Corporation revenues, which have grown to $26.00 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 Penske Corporation 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.
SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Simio | Legacy | Simio | Advanced Planning and Scheduling | SCM | n/a | 2020 | 2020 | In 2020 Penske Corporation deployed Simio for Advanced Planning and Scheduling at Penske Truck Leasing in the United States to build a facility simulation digital twin supporting a five year plan for 500 additional vehicles. The engagement explicitly targeted transportation and maintenance capacity planning, using Simio to model physical site capacity and growth trajectories against operational constraints. The implementation used Simio as a capacity planning and APS oriented digital twin, modeling parking inventory, service bay throughput, technician staffing levels, and ancillary support resources. The simulation captured time phasing across a five year horizon, enabling scenario-based evaluation of resource utilization, queuing at service bays, and the timing of capacity shortfalls under different fleet growth assumptions. Functional capabilities inferred from the case align with resource scheduling, throughput analysis, and constraint identification typical of Advanced Planning and Scheduling solutions. Operational scope was focused on Penske Truck Leasing locations in the United States, and the narrative indicates cross-functional use by fleet planners, maintenance operations, and facilities planners to inform timing of mitigation actions. Governance and rollout centered on iterative scenario runs to surface when parking, service bays, technician staffing, and support resources would become constraints, and to sequence recommended mitigation activities in relation to projected vehicle arrivals. The stated outcome from the Simio implementation was identification of timing for emerging constraints and which mitigation actions to time, supporting transportation and maintenance capacity decisions. This use case is a clear example of applying Simio for Advanced Planning and Scheduling in fleet growth and maintenance operations. | |
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Real-Time Transportation Visibility | SCM |
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2019 | 2019 |
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Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| SAS Institute | Legacy | SAS Forecast Server | Analytics and BI | Analytics and BI | n/a | 2022 | 2023 | In 2022, Penske Corporation deployed SAS Forecast Server to establish a centralized forecasting capability for revenue and financial planning. The implementation leveraged SAS Forecasting Studio functionality to construct hierarchical time-series models that support month-to-month business planning and multi-year forecasts, and the work is classified under the Analytics and BI category. The implementation emphasized hierarchical time-series modeling, model selection and validation workflows, and automated model runs to generate iterative forecast scenarios, using SAS Forecast Server as the execution and orchestration layer. Configuration centered on reusable model templates and forecast hierarchies that map to Penske revenue streams and financial planning dimensions, enabling standardized forecast production across finance teams. Rollout was executed as a multi-year program that achieved marked success after about three years, with governance focused on model governance, version control, and scheduled retraining to maintain forecast consistency across planning cycles. Penske used the SAS Forecast Server deployment to improve the rigor of revenue and financial planning processes, enabling more accurate month-to-month planning and multi-year forecasting outcomes. |
IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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| Amazon Web Services (AWS) | Legacy | Amazon EC2 | Application Hosting and Computing Services | IaaS | n/a | 2021 | 2021 | ||
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Content Delivery Network | IaaS |
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2020 | 2020 |
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ITSM
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Category |
Market |
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Insight |
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Application Performance Management | ITSM |
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2020 | 2020 |
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Collaboration
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Application |
Category |
Market |
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Insight |
Insight Source |
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Audio Video and Web Conferencing | Collaboration |
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2020 | 2020 |
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CRM
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Application |
Category |
Market |
VAR/SI |
When |
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Insight |
Insight Source |
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Customer Experience | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2014 | 2014 |
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Marketing Automation | CRM |
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2015 | 2015 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2021 | 2021 |
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HCM
Vendor |
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Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Recruiting | HCM |
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2024 | 2024 |
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Recruiting, Applicant Tracking System | HCM |
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2013 | 2013 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
Insight Source |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2018 | 2018 |
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