Houston, 77032, TX,
United States
Aggreko USA Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Aggreko USA and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1000 Aggreko USA employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Aggreko USA has purchased the following applications: SAP Concur Expense for Expense Management in 2010, Salesforce Field Service (ex ClickSoftware) for Field Service Management in 2013, Microsoft Azure Machine Learning for ML and Data Science Platforms in 2016 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Aggreko USA is running and its propensity to invest more and deepen its relationship with SAP , Salesforce , Infor 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 Aggreko USA revenues, which have grown to $15.0 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 Aggreko USA 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 Concur Expense | Expense Management | ERP Financial Management | n/a | 2010 | 2010 |
In 2010, Aggreko USA implemented SAP Concur Expense. Aggreko USA implemented SAP Concur Expense to provide Expense Management capabilities across corporate finance and employee travel and expense workflows, supporting centralized claim submission and approval across departments.
The deployment used SAP Concur Expense standard functional modules typical for the category, including expense claim entry, receipt capture and mobile submission, policy enforcement, and automated approval routing. The solution was provisioned as a cloud hosted SaaS application with centralized configuration of expense policies and workflow orchestration to standardize expense processing.
Governance was structured around finance led policy configuration, role based approvals and auditing workflows, with phased user onboarding and training for employees and approvers. The project is recorded as a successful implementation of Concur expense claim software, embedding SAP Concur Expense Expense Management into Aggreko USA finance operations.
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Salesforce | Legacy | Salesforce Field Service (ex ClickSoftware) | Field Service Management | ERP Services and Operations | n/a | 2013 | 2013 |
In 2013, Aggreko USA implemented Salesforce Field Service (ex ClickSoftware) as its Field Service Management platform. The deployment centralized field operations and service delivery workflows, implementing work order orchestration, scheduling and automated dispatch, and technician mobility capabilities that are core to Field Service Management solutions. Salesforce Field Service (ex ClickSoftware) was configured to support workforce scheduling, mobile technician applications, and rules-driven appointment booking to standardize service execution.
The implementation aligned Field Service Management with service and operations teams, enabling service request intake and coordinated dispatching across field crews within the Salesforce application environment. Configuration work emphasized skills-based scheduling, service-level orchestration, and mobile-enabled work order execution to enforce operational workflows and technician enablement. The contemporaneous market activity with Alliant Energy selecting ClickSoftware’s full workforce management and mobility suite provides an external signal reinforcing the use of ClickSoftware-derived capabilities in similar utility and field service deployments.
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Manufacturing ERP | ERP Services and Operations |
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2012 | 2012 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Machine Learning | ML and Data Science Platforms | AI Development | n/a | 2016 | 2017 |
In 2016, Aggreko USA implemented Microsoft Azure Machine Learning to power predictive maintenance across its rental power and temperature control fleets. The deployment used Microsoft Azure Machine Learning as the central ML and Data Science Platforms capability for model experimentation and production scoring.
The implementation focused on model development workflows including experiment tracking, automated training pipelines, feature engineering and model deployment to production scoring endpoints. Teams used Microsoft Azure Machine Learning for supervised learning model lifecycle management, enabling repeatable training runs, model versioning and controlled promotion of models to production.
Data pipelines ingested equipment telemetry streams and historical service records to feed training and scoring workflows, consuming Aggreko operational data sources. Operational scope covered service engineering, operations and field maintenance teams in the United States, aligning machine learning outputs to maintenance planning and dispatch workflows. Governance established model version control, deployment approvals and operational runbooks to support ongoing retraining and model stewardship.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Chatbots and Conversational AI | AI-Powered Application |
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2018 | 2018 |
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Web Content Management | Content Management |
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2017 | 2017 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Call Tracking and Recording | CRM |
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2022 | 2022 |
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Customer Experience | CRM |
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2009 | 2009 |
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Customer Experience | CRM |
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2009 | 2009 |
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Customer Experience | CRM |
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2009 | 2009 |
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Customer Experience | CRM |
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2015 | 2015 |
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Customer Experience | CRM |
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2020 | 2020 |
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Marketing Analytics | 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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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Application Performance Management | ITSM |
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2017 | 2017 |
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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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2010 | 2011 |
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Supplier Relationship Management | Procurement |
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2010 | 2010 |
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TRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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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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2021 | 2021 |
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Content Delivery Network | IaaS |
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2012 | 2012 |
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Content Delivery Network | IaaS |
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2017 | 2017 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Secure Email Gateways (SEGs) | CyberSecurity |
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2016 | 2016 |
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