Autoglass BodyRepair
Crown Park, Signal House, Crown Way, Northampton Rd,
Rushden, NN10 6BS,
United Kingdom
Rushden, NN10 6BS,
United Kingdom
44 800-331-0133
Automotive
Autoglass BodyRepair Technographics
Autoglass BodyRepair Software Purchases and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Autoglass BodyRepair and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 250 Autoglass BodyRepair employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Autoglass BodyRepair has purchased the following applications: IBM Watson Visual Recognition for Computer Vision in 2017, Contentsquare for Customer Experience in 2017, Microsoft Azure Monitor for Application Performance Management in 2021 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Autoglass BodyRepair is running and its propensity to invest more and deepen its relationship with IBM , Contentsquare , Tealium 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 Autoglass BodyRepair revenues, which have grown to $16.0 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 Autoglass BodyRepair 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.
Autoglass BodyRepair Data, Technology Stack, and Enterprise Applications
AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| IBM | Legacy | IBM Watson Visual Recognition | Computer Vision | AI-Powered Application | n/a | 2017 | 2017 |
In 2017, Autoglass BodyRepair implemented IBM Watson Visual Recognition to assess vehicle damage and generate customer quotes, leveraging Computer Vision capabilities on its website. Customers upload images of vehicle damage and enter basic vehicle and contact details, the Watson service evaluates eligibility and issues a quote when it can, and customers may then book a service time and enter credit card details to facilitate payment after repairs are completed.
The IBM Watson Visual Recognition deployment uses a curated image library of roughly 2,000 images to analyze and organize customer photos using four classifiers, type of vehicle, mobile repairable, product code and technician. Classifier outputs are mapped to repair cost determination logic and to product code identification, enabling automated quote calculation and photo triage as part of the intake workflow. Core functional capabilities implemented include image classification, automated quote generation, and classification-driven routing.
Architecturally the solution is centered on a web-based image upload workflow that invokes IBM Watson Visual Recognition for inference, returning classification results that populate quote fields and booking options. Operational coverage is customer-facing intake on the Autoglass BodyRepair website and downstream use by scheduling and technician assignment teams operating in the United Kingdom. Payment capture is handled via customer-provided credit card details entered through the website after repairs are performed.
Governance and process design embed an automated triage plus manual escalation pattern, when the Watson service cannot calculate a quote the company contacts the customer and determines costs through the normal manual process. The four classifiers act as decision gates for routing submissions into automated quoting or manual review, supporting parts identification and technician allocation based on product code and technician classifiers. The implementation centers on Computer Vision driven intake supporting quoting, scheduling and technician allocation workflows.
|
CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Contentsquare | Legacy | Contentsquare | Customer Experience | CRM | n/a | 2017 | 2017 |
In 2017 Autoglass BodyRepair implemented Contentsquare, deploying the Contentsquare Customer Experience analytics instrumentation across its public website. The implementation captures page-level behavioral telemetry including mouse movement, scroll depth, click zones, and navigation paths to support digital experience analysis. Contentsquare is used as a Customer Experience application to provide session-level analytics, heatmaps, and journey visualization across site pages.
Configuration centers on standard Customer Experience capabilities such as heatmaps, session replay, journey analysis, and conversion funnel visualization, enabling marketing and UX teams to analyze on-site user behavior. Operational scope is the customer-facing website, with governance focused on analytics instrumentation, dashboarding, and reporting workflows to inform ongoing website optimization and content decisions.
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|
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Tag Management | CRM |
|
2018 | 2018 |
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ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Microsoft | Legacy | Microsoft Azure Monitor | Application Performance Management | ITSM | n/a | 2021 | 2021 |
In 2021, Autoglass BodyRepair implemented Microsoft Azure Monitor on their website. Microsoft Azure Monitor serves as their Application Performance Management solution for website performance and operational telemetry.
The implementation centered on instrumentation of the public website to collect telemetry streams including metrics, logs, and application traces, leveraging Application Insights and Log Analytics capabilities within Microsoft Azure Monitor. Configuration included dashboards for key performance indicators and alert rules to notify operations staff of HTTP error spikes and availability issues. The Application Performance Management deployment supports both real time monitoring and historical diagnostics consistent with APM functional workflows.
Operational coverage is focused on customer facing web services and supports web operations and customer support functions, delivering observability into page load times and request performance. Telemetry is routed from the website into the Microsoft Azure Monitor environment for consolidated analysis and dashboarding.
Governance emphasizes centralized monitoring and alert workflow configuration, with dashboards and alerts used to triage incidents and guide remediation. Microsoft Azure Monitor is the primary Application Performance Management tool used by Autoglass BodyRepair for ongoing website performance visibility.
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
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|
|
Transactional Email | PaaS |
|
2019 | 2019 |
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IaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
|
|
Application Hosting and Computing Services | IaaS |
|
2019 | 2019 |
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|
Content Delivery Network | IaaS |
|
2017 | 2017 |
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Content Delivery Network | IaaS |
|
2020 | 2020 |
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CyberSecurity
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
|
|
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|
Secure Email Gateways (SEGs) | CyberSecurity |
|
2017 | 2017 |
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IT Decision Makers and Key Stakeholders at Autoglass BodyRepair
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Autoglass BodyRepair Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Autoglass BodyRepair Technographics
Autoglass BodyRepair is a Automotive organization based in United Kingdom,
with around 250 employees and annual revenues of $16.0 million.
Autoglass BodyRepair operates a diverse technology stack with applications such as
IBM Watson Visual Recognition, Contentsquare and Microsoft Azure Monitor,
covering areas like Computer Vision, Customer Experience and Application Performance Management.
Autoglass BodyRepair has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as IBM, Contentsquare and Microsoft.
Autoglass BodyRepair recently adopted applications including
Microsoft Azure Monitor in 2021, Cloudflare CDN in 2020 and Twilio Sendgrid in 2019,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Autoglass BodyRepair’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Autoglass BodyRepair’s profile with verified software purchases,
vendor relationships, and digital initiatives identified from public and proprietary sources.
Subscribe to APPS RUN THE WORLD to access the complete Autoglass BodyRepair technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.