London, SE1 7TP,
United Kingdom
Artfinder Technographics
Artfinder Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Artfinder and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 50 Artfinder employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Artfinder has purchased the following applications: Affirm for Payment Processing in 2017, Amazon SageMaker for ML and Data Science Platforms in 2017, Zendesk Chat for Chatbots and Conversational AI 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 Artfinder is running and its propensity to invest more and deepen its relationship with Affirm , Stripe , Amazon Web Services (AWS) 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 Artfinder revenues, which have grown to $5.0 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 Artfinder 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.
Artfinder Tech Stack and Enterprise Applications
ERP Financial Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Affirm | Legacy | Affirm | Payment Processing | ERP Financial Management | n/a | 2017 | 2017 |
In 2017, Artfinder integrated Affirm as a payment option on its website. Affirm is used as a Payment Processing application to present point of sale financing and installment payment choices within the e-commerce checkout, directly supporting online retail transactions on Artfinder's storefront. The implementation aligned with Artfinder's payments and e-commerce functions and focused on the customer checkout path for web purchases.
Implementation work centered on embedding Affirm into the front end checkout flow and coordinating payment authorization and order capture routines, while preserving the site storefront and shopping cart workflows. Operational ownership was concentrated in e-commerce and finance teams, with customer support processes updated to handle financing inquiries and routine reconciliation through existing finance procedures. The Affirm integration on the Artfinder website consolidates a payment processing channel to augment the site payment methods and streamline buyer financing options.
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Payment Processing | ERP Financial Management |
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2020 | 2020 |
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AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Amazon Web Services (AWS) | Legacy | Amazon SageMaker | ML and Data Science Platforms | AI Development | n/a | 2017 | 2017 |
In 2017 Artfinder implemented Amazon SageMaker to support its recommendation tooling within its AWS application stack. Artfinder implemented Amazon SageMaker as part of a broader ML architecture that operates on Amazon Web Services, augmenting existing services such as Amazon Machine Learning, Amazon Rekognition, and Amazon Kinesis Firehose to deliver personalized art recommendations, this work aligns with the ML and Data Science Platforms category.
The implementation centers on standard ML and data science platform capabilities including managed model training, automated model tuning, hosted inference endpoints, and batch scoring workflows. Amazon SageMaker was configured to consume image features derived from Amazon Rekognition and event streams captured through Amazon Kinesis Firehose, enabling feature engineering and model training pipelines that feed into recommendation models used by the marketplace.
Integrations are anchored to Artfinder's buyer facing website and merchandising workflows, with models served via SageMaker endpoints to deliver near real time and batch personalization across product discovery and customer recommendations. The operational scope includes the online marketplace connecting thousands of artists to buyers, with machine learning directly impacting customer experience and product discovery functions.
Governance for models emphasizes repeatable training and deployment pipelines common to ML and Data Science Platforms, with versioned models and automated deployment to inference endpoints to support iterative improvements. Artfinder’s use of Amazon SageMaker within the AWS ecosystem enables a structured ML lifecycle from feature ingestion through model hosting, production inference, and ongoing retraining, supporting the company goal of matching customers with art they will love.
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AI-Powered Application
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Zendesk | Legacy | Zendesk Chat | Chatbots and Conversational AI | AI-Powered Application | n/a | 2017 | 2017 |
In 2017, Artfinder implemented Zendesk Chat on its public website to add a real-time conversational layer to online customer interactions. The deployment focused on a web-embedded chat widget and the Zendesk Chat agent console, using standard Chatbots and Conversational AI capabilities such as live messaging, canned responses, presence indicators, and transcript capture to support synchronous customer engagement.
Zendesk Chat is configured to operate as the front-line contact channel for Artfinder, routing live conversations to its customer support team and persisting transcripts for downstream support workflows. The implementation centers on web-based architecture and agent-facing tooling, and it aligns the Chatbots and Conversational AI application with Artfinder customer service functions, enabling structured conversational handling, agent handoff, and session logging for operational review.
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Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2011 | 2011 |
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CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Experience | CRM |
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2015 | 2015 |
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Customer Support | CRM |
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2015 | 2015 |
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Marketing Analytics | CRM |
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2016 | 2016 |
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Marketing Automation | CRM |
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2019 | 2019 |
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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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2018 | 2018 |
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Application Performance Management | ITSM |
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2021 | 2021 |
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IT Service Management | ITSM |
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2018 | 2018 |
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PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2018 | 2018 |
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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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2018 | 2018 |
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Content Delivery Network | IaaS |
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2022 | 2022 |
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IT Decision Makers and Key Stakeholders at Artfinder
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
| No data found | ||||||
Apps Being Evaluated by Artfinder Executives
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||