Melbourne, 3207, VIC,
Australia
Smart Parking Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Smart Parking and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 400 Smart Parking employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Smart Parking has purchased the following applications: Sage Intacct for ERP Financial in 2023, simPRO Field Service Management for Field Service Management in 2023, Google Cloud Machine Learning Engine 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 Smart Parking is running and its propensity to invest more and deepen its relationship with Sage , simPRO Group , 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 Smart Parking revenues, which have grown to $2.20 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 Smart Parking 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 |
|---|---|---|---|---|---|---|---|---|
| Sage | Legacy | Sage Intacct | ERP Financial | ERP Financial Management | n/a | 2023 | 2023 |
In 2023, Smart Parking implemented Sage Intacct as its ERP Financial platform. Sage Intacct is referenced on Smart Parking's website, indicating the application is surfaced for web facing billing or invoice access and likely integrated into customer invoice workflows.
The deployment focuses on core financial modules, with configurations for general ledger, accounts payable, accounts receivable, cash management and financial reporting. Sage Intacct was configured to automate journal processing, invoice lifecycle management and consolidated financial close activities consistent with ERP Financial functional patterns.
Operational scope centers on finance and accounting across Smart Parking's Australia operations, centralizing transactional accounting and month end processes. Governance elements align with role based access, approval routing for payables and receivables and embedded audit trails to support financial controls within Sage Intacct.
|
ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| simPRO Group | Legacy | simPRO Field Service Management | Field Service Management | ERP Services and Operations | n/a | 2023 | 2023 |
|
AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Machine Learning Engine | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017, Smart Parking implemented Google Cloud Machine Learning Engine to operationalize analytics and prediction for its IoT platform. The Google Cloud Machine Learning Engine deployment is part of the ML and Data Science Platforms category and was used to embed model training and serving into Smart Parkings operational stack for smart city projects.
The implementation focused on standard ML and data science workflows, including feature engineering, model training and tuning, model versioning, and production model serving. Google Cloud Machine Learning Engine was used to host trained models and provide inference endpoints while supporting both batch and streaming prediction patterns typical for sensor telemetry processing.
Integration work centered on ingesting telemetry from Smart Parkings IoT platform into Google Cloud Platform services for data processing and storage, then routing prepared datasets to Google Cloud Machine Learning Engine for training and inference. Operational coverage included data science, engineering, and product teams that instrumented pipelines to support deployments for smart city developments rather than single-site pilots.
Governance emphasized centralized model lifecycle management and pipeline orchestration to standardize how models are trained, validated, and promoted to production. As a result, Smart Parking used Google Cloud Machine Learning Engine to become a data intelligence solutions business provider running an IoT platform to seize opportunities in smart city developments.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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|
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Collaboration | Collaboration |
|
2015 | 2015 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
|
Marketing Automation | CRM |
|
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 |
|
2014 | 2014 |
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Application Hosting and Computing Services | IaaS |
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2016 | 2016 |
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