Rogerstone, NP10 9EJ,
United Kingdom
Auto Spares Wales Technographics
Auto Spares Wales Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Auto Spares Wales and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 20 Auto Spares Wales employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Auto Spares Wales has purchased the following applications: MAM Software Autopart for Automotive ERP 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 Auto Spares Wales is running and its propensity to invest more and deepen its relationship with Kerridge Commercial Systems Limited 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 Auto Spares Wales revenues, which have grown to $2.0 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 Auto Spares Wales 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.
Auto Spares Wales Tech Stack and Enterprise Applications
Auto Spares Wales ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Kerridge Commercial Systems Limited | Legacy | MAM Software Autopart | Automotive ERP | ERP Services and Operations | n/a | 2023 | 2023 |
In 2023 Auto Spares Wales implemented MAM Software Autopart, deploying the cloud edition Autopart Online as the primary Automotive ERP for its Newport motor factor operation. The company reports the application as the backbone of the business and ties the implementation directly to ongoing growth and a planned second branch opening.
Autopart Online is configured to support fast vehicle lookup by registration, quote generation and conversion into sales, and sales reporting that includes monitoring progress against monthly targets. The implementation emphasizes speed and accuracy in customer enquiries, enabling staff to quote from a registration lookup within seconds, and the MAM Software Autopart instance is used as a complete working tool for sales and customer service workflows.
The deployment structure is cloud-first, which was the teams first cloud investment and simplifies user provisioning to scale headcount as the business expands. Operational coverage centers on sales and front-of-house motor factor functions at the Newport site, with the platform positioned to extend to a second branch as users are added.
Governance and process change are focused on standardizing the quote to sale workflow, centralizing sales information for target tracking, and embedding the Automotive ERP into daily operational procedures. The case narrative does not disclose third-party system integrations, and the reported business outcome is that Autopart underpins quoting, sales conversion, and rapid customer response, supporting the companys early expansion.
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IT Decision Makers and Key Stakeholders at Auto Spares Wales
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| Director Operations | Director | Operations | ||||
| Director Operations | Director | Operations |
Apps Being Evaluated by Auto Spares Wales Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||