Cumbernauld, G68 9HD,
United Kingdom
A.G. Barr Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by A.G. Barr and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 950 A.G. Barr employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that A.G. Barr has purchased the following applications: Oracle JD Edwards EnterpriseOne for ERP Financial in 2013, Workable ATS for Applicant Tracking System in 2015, Ava for Generative AI Platforms in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems A.G. Barr is running and its propensity to invest more and deepen its relationship with Oracle , Workable , OneAdvanced 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 A.G. Barr revenues, which have grown to $320.0 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 A.G. Barr 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 |
|---|---|---|---|---|---|---|---|---|
| Oracle | Legacy | Oracle JD Edwards EnterpriseOne | ERP Financial | ERP Financial Management | n/a | 2013 | 2013 |
In 2013 A.G. Barr implemented Oracle JD Edwards EnterpriseOne as an ERP Financial application to centralize production performance reporting and forecasting across its beverage manufacturing operations. The implementation focused on capturing raw statistical data from the production team to drive daily and weekly operational analysis and to inform KPI-based forecasting for production targets.
Oracle JD Edwards EnterpriseOne was configured to operate as a forecasting and operational reporting environment, with category-aligned capabilities for demand and production forecasting, KPI management, and dynamic operational dashboards. The work environment emphasized maintaining optimal production targets through routine forecasting cycles and automated presentation of spikes and trends for review.
Operational scope centered on production and operations teams, with structured reporting delivered to the top management board to support weekly governance reviews. The system consumed shop floor statistical datasets and transformed them into actionable performance reports, aligning operational output with planning and financial oversight under the ERP Financial application.
Governance was established around KPI-driven cadence, combining daily monitoring with weekly executive summaries to surface anomalies and production variances. As explicitly stated, the deployment improved the production chain by delivering more precise forecasts for optimal production and by dynamically reporting findings and weekly performance to executive leadership.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Workable | Legacy | Workable ATS | Applicant Tracking System | HCM | n/a | 2015 | 2015 |
In 2015, A.G. Barr implemented Workable ATS as its Applicant Tracking System to manage external hiring flows and centralize candidate intake. The deployment uses Workable on the company careers site to capture applications, publish job postings, and maintain candidate pipelines for the talent acquisition function.
Configuration focuses on core Applicant Tracking System capabilities including job requisition publishing, candidate management and screening workflows, interview scheduling, and offer tracking, reflecting standard ATS functional modules. Operational ownership rests with HR and recruitment teams across A.G. Barr in the United Kingdom, with role based access and configured hiring workflows that route applicants to hiring managers and central HR. The architecture is a cloud hosted Workable ATS instance integrated into A.G. Barr careers pages to provide centralized applicant intake and pipeline visibility for recruiting stakeholders.
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Performance and Goal Management | HCM |
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2020 | 2020 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Aforza | Legacy | Ava | Generative AI Platforms | AI Development | n/a | 2025 | 2025 |
In 2025 A.G. Barr deployed Aforza's Ava together with Neurolabs image recognition to automate photo based retail execution and in store audits across the United Kingdom. The deployment uses Aforza's Ava, classified under Generative AI Platforms, to convert shelf and store imagery into audit records and operational tasks for field teams.
Implementation focused on visual intelligence for retail execution, combining Neurolabs image recognition for object detection and attribute extraction with Ava for automated insight generation and audit workflow orchestration. Functional capabilities implemented include image ingestion and processing, automated audit scoring, insight synthesis for shelf decisions, and task generation for sales and merchandising reps.
The solution architecture links mobile photo capture in stores to Neurolabs image recognition for visual data extraction and to Ava for generative analysis and tasking, creating an operational pipeline from image to action. Operational coverage targeted retail execution and merchandising functions in the United Kingdom, and the case study documents a reduction in data collection time of approximately 50 percent and accuracy improvements to about 96 percent.
Governance emphasized standardized audit templates and automated task assignment to accelerate rep action and to make shelf decisions more data driven, aligning field workflows with visual intelligence outputs. The deployment illustrates using Generative AI Platforms to embed image based audit automation into routine retail execution processes, improving speed and consistency of in store observations.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Audio Video and Web Conferencing | Collaboration |
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2016 | 2016 |
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Collaboration | Collaboration |
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2012 | 2012 |
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SCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Demand Forecasting and Planning | SCM |
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2017 | 2018 |
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Supply Chain Management | SCM |
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2016 | 2016 |
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Supply Chain Management | SCM |
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2025 | 2025 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Marketing Analytics | CRM |
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2020 | 2020 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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IT Service Management | ITSM |
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2020 | 2020 |
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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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Governance, Risk and Compliance | TRM |
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2021 | 2021 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2018 | 2018 |
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Transactional Email | PaaS |
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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 |
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2015 | 2015 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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