Auckland, 622,
New Zealand
Vodafone New Zealand Technographics
Discover the latest software purchases and digital transformation initiatives being undertaken by Vodafone New Zealand and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 3000 Vodafone New Zealand employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Vodafone New Zealand has purchased the following applications: Matrixx Dynamics Billing for Subscription and Recurring Billing in 2014, Skills Base AI Skills Intelligence for Skills Intelligence in 2020, IBM Watson for Cognitive Computing 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 Vodafone New Zealand is running and its propensity to invest more and deepen its relationship with MATRIXX Software , Skills Base , IBM 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 Vodafone New Zealand revenues, which have grown to $1.00 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 Vodafone New Zealand 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 |
|---|---|---|---|---|---|---|---|---|
| MATRIXX Software | Legacy | Matrixx Dynamics Billing | Subscription and Recurring Billing | ERP Financial Management | Ibm | 2014 | 2014 |
In 2014 Vodafone New Zealand implemented Matrixx Dynamics Billing from MATRIXX Software to standardize prepaid subscriber charging across its New Zealand operations, positioning the initiative within the Subscription and Recurring Billing category. Matrixx Dynamics Billing was adopted to provide a converged charging foundation capable of supporting real-time subscriber monetization and faster product launches.
The deployment used MATRIXX’s converged charging platform architecture, leveraging real-time rating and policy control to centralize prepaid charging logic. The implementation aligned charging and subscription lifecycle capabilities with recurring billing flows, enabling product orchestration and rapid provisioning for new prepaid offerings.
Integrations were explicitly focused on real-time interfaces to network systems and analytics platforms to feed usage and charging events into operational and insight workflows. IBM Consulting is a named partner for a subsequent payments modernization extension, reflecting a staged program that extended the initial charging and billing footprint into broader payment orchestration.
Operational scope covered prepaid charging and associated product launch processes, impacting product management, charging operations, billing, and analytics teams in New Zealand. MATRIXX has been a customer since 2014 and the program emphasized governance changes to standardize charging workflows and accelerate time to market for new subscriber products.
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Skills Base | Legacy | Skills Base AI Skills Intelligence | Skills Intelligence | HCM | n/a | 2020 | 2020 |
In 2020, Vodafone New Zealand deployed Skills Base AI Skills Intelligence, a Skills Intelligence application, to accelerate retail onboarding and learning and development. The rollout targeted Vodafone Retail NZ and focused on shortening ramp time for store-based sales and service staff across New Zealand.
The implementation concentrated on skills assessments and training recommendation capabilities, configuring assessment templates and competency frameworks inside Skills Base AI Skills Intelligence. The project included inferred LMS linking to route assessment outcomes into formal course assignments, enabling automated training recommendations and ongoing competency profiling for individual retail roles.
Governance changes embedded competency tracking into onboarding workflows and L&D processes, with assessment-driven checkpoints and periodic reassessments to measure readiness. The program reduced training time for retail staff from six months to three months in New Zealand and increased operational visibility of individual competencies through Skills Base AI Skills Intelligence.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Watson | Cognitive Computing | AI-Powered Application | n/a | 2017 | 2018 |
In 2017, Vodafone New Zealand deployed IBM Watson within the Cognitive Computing category to automate customer interactions through chatbot functionality. The initiative focused on customer service and contact center automation, positioning IBM Watson as the primary conversational AI platform for frontline customer engagement across Vodafone New Zealand.
Implementation centered on IBM Watson natural language processing and dialog management capabilities, including intent classification, entity extraction, and conversation flow orchestration. Configuration work emphasized conversational design, multi-turn dialogue handling, and model training pipelines to support automated responses and handoff triggers to human agents when escalation criteria were met.
Operational scope covered digital customer touchpoints and support workflows, with the IBM Watson deployment designed to operate alongside existing customer support processes. The program established governance around training data, response quality review, and version control for conversational assets to maintain consistency and compliance in customer-facing dialogs.
Rollout was managed as a staged program with pilot testing, iterative model refinement, and production monitoring for conversational performance. Ongoing operational ownership included continuous retraining processes, content governance, and procedures for integrating updated dialog models into live customer channels, ensuring IBM Watson remained the central Cognitive Computing engine for Vodafone New Zealand customer interactions.
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2013 | 2013 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Analytics | CRM |
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2020 | 2020 |
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Customer Experience | CRM |
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2019 | 2019 |
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Marketing Analytics | CRM |
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2011 | 2011 |
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Marketing Analytics | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2017 | 2017 |
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Marketing Automation | CRM |
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2018 | 2018 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2017 | 2017 |
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Tag Management | CRM |
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2016 | 2016 |
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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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2020 | 2020 |
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PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2003 | 2003 |
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SPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Incentive Compensation Management | SPM |
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2020 | 2020 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Robotic Process Automation | PaaS |
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2016 | 2016 |
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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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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