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Shell Service Stations UK Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Shell Service Stations UK and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 1812 Shell Service Stations UK employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Shell Service Stations UK has purchased the following applications: AVEVA AR/VR Immersive Training Systems for Learning and Development in 2019, AVEVA PI System for Asset Performance Management in 2011, C3 AI ESG for Environmental, Social, and Governance (ESG) in 2023 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Shell Service Stations UK is running and its propensity to invest more and deepen its relationship with AVEVA Group , C3.ai , Functional Software 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 Shell Service Stations UK revenues, which have grown to $4.00 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 Shell Service Stations UK 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.
HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| AVEVA Group | Legacy | AVEVA AR/VR Immersive Training Systems | Learning and Development | HCM | n/a | 2019 | 2020 |
In 2019, Shell Service Stations UK deployed AVEVA AR/VR Immersive Training Systems within its Learning and Development portfolio, working with AVEVA to develop a cloud-based, simulation-driven VR operator training programme called Operations Mastery. The deployment targeted operations and learning for Shell refining and process sites, with program coordination run from the United Kingdom and operational coverage intended for global sites.
The implementation used cloud-hosted simulation engines and immersive VR scenarios to deliver standardized experiential HSE and operational training at scale. Functional capabilities implemented included scenario-based immersive simulation, experiential HSE lesson workflows, competency assessment and replayable training sessions, and centralized content management for consistent curriculum updates across sites, reflecting typical Learning and Development platform capabilities.
Operational scope emphasized frontline operations and HSE teams in refining and process operations, integrating the AVEVA AR/VR Immersive Training Systems into existing operator training schedules and site learning workflows. The cloud approach enabled centralized provisioning of updated simulation content and distributed access to VR training stations at individual sites, supporting coordinated rollout and ongoing curriculum maintenance from the UK.
Governance and rollout were structured to standardize safety and operational readiness training across sites, with experiential assessment embedded into training workflows to improve consistency of operator competency checks. The AVEVA and Shell programme was recognized with a Hydrocarbon Processing HSE award in 2020, and the implementation is described as improving consistency of safety training and readiness.
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ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| AVEVA Group | Legacy | AVEVA PI System | Asset Performance Management | ERP Services and Operations | n/a | 2011 | 2012 |
In 2011, Shell Service Stations UK implemented the AVEVA PI System for Asset Performance Management as an enterprise operations data foundation. The AVEVA PI System was positioned to shift operations from reactive to predictive and to enable a Smart Foundation and digital twin across Europe and Asia-Pacific operations supporting streaming analytics and operational decisioning.
The deployment leverages PI Super Collective and PI Asset Framework to centralize data contextualization and execute real-time calculations against time series data. PI Asset Framework was used to construct standardized asset hierarchies, contextual metadata, and derived attributes that enable consistent condition monitoring and predictive workflows.
Operational coverage spanned Europe and Asia-Pacific, feeding contextualized PI data into streaming analytics and operational decisioning pipelines. The implementation targeted business functions in operations, asset management, and engineering to surface asset health indicators and to support predictive operational workflows.
Governance emphasis centered on a centralized PI Super Collective topology and AF model governance to standardize tag conventions, calculations, and event frames across regional sites. The AVEVA PI System established the enterprise operations data foundation for Shell Service Stations UK to improve asset monitoring and to enable predictive workflows as part of its Smart Foundation initiative.
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EPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| C3.ai | Legacy | C3 AI ESG | Environmental, Social, and Governance (ESG) | EPM | n/a | 2023 | 2023 |
In 2023, Shell Service Stations UK conducted a proof-of-concept deployment of C3 AI ESG to support Environmental, Social, and Governance (ESG) use cases focused on sustainability reporting and materiality. C3.ai publicly described the engagement as a PoC and reported the work used natural language processing to generate targeted insights on evolving stakeholder ESG priorities.
The implementation centered on C3 AI ESG capabilities for semantic extraction and stakeholder insight generation, employing NLP models to surface priority topics, tag stakeholder sentiment, and feed structured materiality mapping workflows. Functional configuration emphasized taxonomy alignment for sustainability reporting, automated extraction of narrative text, and mechanisms to translate unstructured stakeholder input into report-ready data sets.
Operational integration for the PoC involved ingesting and normalizing textual stakeholder channels and internal sustainability data via connectors and data pipelines, enabling the sustainability and corporate reporting teams at Shell Service Stations UK in the United Kingdom to access synthesized insights. Business functions impacted included sustainability, corporate reporting, risk and compliance, and stakeholder engagement, with outputs designed to inform materiality assessments and reporting cadences.
Governance during the PoC included model validation, review cycles for extracted insights, and a structured workflow for escalating material topics to sustainability stewards and reporting owners. The engagement is recorded in vendor filings as a proof-of-concept for C3 AI ESG rather than a production rollout, and the narrative positions Shell Service Stations UK C3 AI ESG Environmental, Social, and Governance (ESG) work as an exploratory application of NLP-driven stakeholder insight to support sustainability reporting and materiality processes.
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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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2016 | 2016 |
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PLM and Engineering
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Computer-Aided Design (CAD) | PLM and Engineering |
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1981 | 1981 |
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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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2014 | 2014 |
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Internet of Things
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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IoT Platform | Internet of Things |
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2018 | 2021 |
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