AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Michelin, an e2open customer evaluated Oracle Transportation Management

Aggreko USA Data, Technology Stack, and Enterprise 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.
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.
Manufacturing ERP ERP Services and Operations 2012 2012
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.
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Chatbots and Conversational AI AI-Powered Application 2018 2018
Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Web Content Management Content Management 2017 2017
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Call Tracking and Recording CRM 2022 2022
Customer Experience CRM 2009 2009
Customer Experience CRM 2009 2009
Customer Experience CRM 2009 2009
Customer Experience CRM 2015 2015
Customer Experience CRM 2020 2020
Marketing Analytics CRM 2015 2015
Sales Automation, CRM, Sales Engagement CRM 2021 2021
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2017 2017
Procurement
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Procurement Procurement 2010 2011
Supplier Relationship Management Procurement 2010 2010
TRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Governance, Risk and Compliance TRM 2021 2021
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2012 2012
Content Delivery Network IaaS 2017 2017
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2016 2016
IT Decision Makers and Key Stakeholders at Aggreko USA
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Aggreko USA Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Aggreko USA Technographics

Aggreko USA is a Professional Services organization based in United States, with around 1000 employees and annual revenues of $15.0 million.

Aggreko USA operates a diverse technology stack with applications such as SAP Concur Expense, Salesforce Field Service (ex ClickSoftware) and Microsoft Azure Machine Learning, covering areas like Expense Management, Field Service Management and ML and Data Science Platforms.

Aggreko USA has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as SAP, Salesforce and Microsoft.

Aggreko USA recently adopted applications including Infinity Call Tracking in 2022, Salesforce Sales Cloud in 2021 and OneTrust Cookie Consent in 2021, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Aggreko USA’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Aggreko USA’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

Subscribe to APPS RUN THE WORLD to access the complete Aggreko USA technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.