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Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

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Autoglass BodyRepair Data, Technology Stack, and Enterprise Applications
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Microsoft Legacy Microsoft Azure Cloud Services Application Hosting and Computing Services IaaS n/a 2019 2019
Content Delivery Network IaaS 2017 2017
Content Delivery Network IaaS 2020 2020
ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Microsoft Legacy Microsoft Azure Monitor Application Performance Management ITSM n/a 2021 2021
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
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
Insight Source
Customer Experience CRM 2017 2017
Tag Management CRM 2018 2018
CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Secure Email Gateways (SEGs) CyberSecurity 2017 2017
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Insight Source
Transactional Email PaaS 2019 2019
IT Decision Makers and Key Stakeholders at Autoglass BodyRepair
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Autoglass BodyRepair Executives
Date Company Status Vendor Product Category Market
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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 Microsoft Azure Cloud Services, Microsoft Azure Monitor and IBM Watson Visual Recognition, covering areas like Application Hosting and Computing Services, Application Performance Management and Computer Vision.

Autoglass BodyRepair has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft and IBM.

Autoglass BodyRepair recently adopted applications including Microsoft Azure Monitor in 2021, Cloudflare CDN in 2020 and Microsoft Azure Cloud Services 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.