Parkeon Technographics
Parkeon Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Parkeon and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 Parkeon employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Parkeon has purchased the following applications: BILL Financial Operations Platform for AP Automation, AR Automation in 2003, Dataiku Data Science Studio (DSS) for ML and Data Science Platforms in 2017, Google Workspace (Formerly Google G-Suite) for Collaboration in 2014 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Parkeon is running and its propensity to invest more and deepen its relationship with BILL Operations , Dataiku , Google 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 Parkeon revenues, which have grown to $185.0 million 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 Parkeon 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.
Parkeon Tech Stack and Enterprise Applications
Parkeon ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| BILL Operations | Legacy | BILL Financial Operations Platform | AP Automation, AR Automation | ERP | n/a | 2003 | 2003 |
In 2003, Parkeon implemented BILL Financial Operations Platform. The BILL Financial Operations Platform is deployed on Parkeon's website to provide supplier invoice processing and receivables automation, functioning as a vendor-hosted financial operations layer. The deployment leverages modules aligned with the AP Automation,AR Automation category, including invoice capture and digital routing, accounts receivable billing and collections automation, automated approval workflows, and payment reconciliation capabilities. These modules are applied to standardize invoice processing and receivables operations within Parkeon’s finance function.
The implementation is scoped to finance and accounting teams and uses web-facing endpoints to surface billing and payment orchestration directly on Parkeon’s public site, with role-based access controls and workflow governance to manage approvals and audit trails. Architecture centers on the BILL Operations platform integrated into Parkeon’s website, enabling direct handling of customer billing flows and internal transaction processing. Governance focused on configuring approval hierarchies, exception handling rules, and audit logging inside the BILL Financial Operations Platform to align operational workflows with corporate finance controls.
|
Parkeon AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Dataiku | Legacy | Dataiku Data Science Studio (DSS) | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017, Parkeon implemented Dataiku Data Science Studio (DSS) to develop a consumer-facing mobile application that predicts parking availability across urban street segments. The work drew on the ML and Data Science Platforms category to operationalize predictive modeling against high velocity parking meter transaction streams and geolocated open data.
The implementation used Dataiku Data Science Studio to perform data ingestion, feature engineering, and model training at scale, turning millions of daily parking transactions into model-ready datasets. Streets were divided into segments and enriched with points of interest derived from OpenStreetMap, enabling feature sets that capture local context such as nearby restaurants and shops, and models were packaged for runtime inference. The architecture blended big data processing for batch model training with a hybrid deployment that embeds predictive models into a user friendly iOS application for low latency predictions.
Integrations were explicitly limited to Parkeon parking meter transaction feeds and OpenStreetMap geospatial data, with data cross checking performed between meter events and mapped street segments. The operational scope covered city-level street segment prediction and the B2C product Path to Park, focusing on driver experience and real time parking availability signals.
Governance centered on iterative model development and refinement inside Dataiku Data Science Studio, enabling data science teams to retrain and update models as new transaction data accrued. As implemented, Parkeon used these predictive models to propose where drivers are more likely to find parking and to scale predictions with application growth through machine learning and the hybrid architecture.
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Parkeon Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Workspace (Formerly Google G-Suite) | Collaboration | Collaboration | n/a | 2014 | 2014 |
In 2014, Parkeon implemented Google Workspace (Formerly Google G-Suite) to establish a cloud hosted Collaboration platform for corporate productivity and communication. Google Workspace (Formerly Google G-Suite) serves as the primary Collaboration application stack, providing Gmail based enterprise email, Google Drive file storage, Google Docs real time document collaboration, Google Calendar scheduling, and Google Meet for virtual meetings as the core functional modules.
The deployment followed a SaaS architecture managed through the Google Workspace administration console, with configuration centered on account provisioning, group based access controls, domain management, and sharing policy enforcement. Operational focus was on internal collaboration and corporate communications across business functions, with governance practices oriented around centralized user administration, content sharing policies, and administrative controls typical for an enterprise Collaboration rollout.
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Parkeon CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Marketing Automation | CRM |
|
2016 | 2016 |
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Parkeon PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Transactional Email | PaaS |
|
2018 | 2018 |
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IT Decision Makers and Key Stakeholders at Parkeon
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Parkeon Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||