Horwich, BL6 6PE,
United Kingdom
Scan Computers International Ltd Technographics
Scan Computers International Ltd Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Scan Computers International Ltd and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 200 Scan Computers International Ltd employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Scan Computers International Ltd has purchased the following applications: Amazon Pay for Payment Processing in 2020, Timeware Workforce Management for Workforce Management in 2016, Webtrends Optimize for Web Content Management in 2024 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Scan Computers International Ltd is running and its propensity to invest more and deepen its relationship with Amazon Web Services (AWS) , Apple , Google 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 Scan Computers International Ltd revenues, which have grown to $35.0 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 Scan Computers International Ltd 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.
Scan Computers International Ltd Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon Pay | Payment Processing | ERP Financial Management | n/a | 2020 | 2020 |
In 2020, Scan Computers International Ltd implemented Amazon Pay as a customer-facing payment option on its public website. Amazon Pay is used as a Payment Processing solution provided by Amazon Web Services and is embedded into the Scan e-commerce checkout to accept payments using shoppers' Amazon accounts.
The implementation centers on Amazon Pay checkout integration, embedding Amazon Pay widgets in the site checkout flow and connecting client-side payment interactions to server-side authorization and capture endpoints. Standard Payment Processing capabilities such as tokenization of payment instruments, hosted payment flows to reduce merchant PCI scope, and asynchronous notification webhooks for order status updates are applied to the Scan.co.uk online sales channel. Operational scope is the company website serving the United Kingdom e-commerce business, and governance includes merchant account configuration in the Amazon Pay console alongside updates to payment acceptance policies and e-commerce team procedures.
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Timeware | Legacy | Timeware Workforce Management | Workforce Management | HCM | n/a | 2016 | 2016 |
In 2016, Scan Computers International Ltd deployed Timeware Workforce Management to address rapid headcount growth and centralize employee time and attendance. The company, based in Bolton with just over 200 staff and high-volume order processing, needed a system to keep track of attendance, timekeeping, personal details, holiday entitlement and monthly payroll.
The deployment configured Timeware Workforce Management modules for attendance capture, time and attendance processing, personnel record management, leave and holiday entitlement administration, and time data extraction to support monthly payroll runs. Configuration emphasized centralized employee records and accurate time capture consistent with Workforce Management functional workflows for HR and payroll operations.
Rollout focused on HR and payroll operational coverage across the Scan Computers workforce, with HR lead Nisha Raja overseeing governance and process alignment to ensure data quality and payroll readiness. Nisha Raja stated that since Timeware has been introduced, Scan Computers has noticed a vast improvement in procedural efficiency, reflecting streamlined attendance to payroll processes.
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Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Webtrends Optimize | Legacy | Webtrends Optimize | Web Content Management | Content Management | n/a | 2024 | 2024 |
In 2024, Scan Computers International Ltd ran a short SaaS A/B testing engagement using Webtrends Optimize to drive uptake of the ScanProtect ancillary insurance offer, the implementation aligned with the Web Content Management category. The experiment was executed as a 30 day A/B test using Webtrends Optimize and focused on variant creation and conversion funnel measurement on Scan's ecommerce product pages. Webtrends Optimize is the application used for experiment configuration, targeting, and reporting in this engagement.
The deployment leveraged standard Webtrends Optimize capabilities for experiment configuration, split traffic allocation, client side variant delivery, and outcome measurement, with test design centered on calls to action inside the checkout and product detail flows. Functional capabilities implemented included variant creation, audience targeting, event driven click tracking, and revenue attribution to support average order value analysis. The implementation used built in reporting and experiment dashboards in Webtrends Optimize to surface click and revenue lift.
Operationally the engagement covered Scan's United Kingdom ecommerce channel and directly impacted ecommerce merchandising, marketing, and site optimization workflows. The experiment was executed against live product and checkout pages, requiring coordination between the online merchandising team and web operations for rollout and QA. No external system integrators are referenced in the engagement details.
Governance was organized around a time boxed 30 day experiment window with rapid measurement cycles and centralized experiment reporting in Webtrends Optimize. The test produced immediate commercial outcomes, recording a 22.6% increase in clicks on the Protect call to action and a 16.2% lift in average order value as measured by the Webtrends Optimize experiment reporting. These results informed short term merchandising and checkout treatment decisions across Scan's ecommerce operations.
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eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Personalization and Product Recommendations | eCommerce |
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2013 | 2013 |
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Personalization and Product Recommendations | eCommerce |
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2021 | 2021 |
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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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2018 | 2018 |
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Partner Relationship Management | CRM |
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2021 | 2021 |
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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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2017 | 2017 |
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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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2018 | 2018 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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Content Delivery Network | IaaS |
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2016 | 2016 |
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Content Delivery Network | IaaS |
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2018 | 2018 |
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IT Decision Makers and Key Stakeholders at Scan Computers International Ltd
| First Name | Last Name | Title | Function | Department | Phone | |
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| No data found | ||||||
Apps Being Evaluated by Scan Computers International Ltd Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||