Beautylish
230 California St Ste. 405,
San Francisco, 94111, CA,
United States
San Francisco, 94111, CA,
United States
1 877-992-5474
Retail
Beautylish Technographics
Beautylish Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Beautylish and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 150 Beautylish employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Beautylish has purchased the following applications: Intuit Quickbooks Enterprise for ERP Financial in 2013, Greenhouse ATS for Applicant Tracking System in 2018, Sift Science Digital Trust Platform for ML and Data Science Platforms in 2020 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Beautylish is running and its propensity to invest more and deepen its relationship with Intuit , Greenhouse , Sift Science 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 Beautylish revenues, which have grown to $20.0 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 Beautylish 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.
Beautylish Tech Stack and Enterprise Applications
Beautylish ERP
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Intuit | Legacy | Intuit Quickbooks Enterprise | ERP Financial | ERP | x | 2013 | 2013 |
In 2013, Beautylish implemented Intuit Quickbooks Enterprise as its ERP Financial solution for company accounting and financial management. The deployment targeted the finance and accounting organization at the 150 employee retail company and established Intuit Quickbooks Enterprise as the primary system of record for transactional finance.
The implementation focused on standard ERP Financial capabilities, including general ledger configuration, accounts payable and accounts receivable workflows, bank reconciliation, inventory valuation controls aligned with retail merchandising, and financial reporting. Intuit Quickbooks Enterprise was configured to support a centralized chart of accounts, period close procedures, and role based access controls for accounting, purchasing, and operations.
Integrations connected Intuit Quickbooks Enterprise with Bill.com to automate payables workflows and with Expensify for employee expense capture, while Microsoft Excel and Google Apps were used for data exchange and ad hoc reporting. Governance and process changes established standardized invoice approval routing and expense submission workflows, extending system usage across finance, purchasing, and operations teams.
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Beautylish HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Greenhouse | Legacy | Greenhouse ATS | Applicant Tracking System | HCM | n/a | 2018 | 2018 |
In 2018, Beautylish implemented Greenhouse ATS to centralize hiring workflows. Beautylish uses Greenhouse ATS on their website as its Applicant Tracking System, embedding job posting and application capture into the public career site to support ongoing talent acquisition needs.
The deployment emphasizes core Applicant Tracking System capabilities, including job posting, candidate application capture via the website, configurable candidate pipelines, and structured interview orchestration consistent with ATS functionality. Configuration focused on career site integration, form capture, pipeline state management, and interview scheduling to standardize resume intake and hiring stage coordination. Operational ownership sits with Talent Acquisition and HR, with role based access and staged hiring workflows to align recruiters and hiring managers across the United States retail operations.
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Beautylish AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Sift Science | Legacy | Sift Science Digital Trust Platform | ML and Data Science Platforms | AI Development | n/a | 2020 | 2020 |
In 2020, Beautylish deployed Sift Science Digital Trust Platform on its website to instrument real-time digital risk detection across its online shopping flows. Beautylish, a United States retail company, uses Sift Science Digital Trust Platform within its ML and Data Science Platforms stack to support fraud prevention and account integrity for customer interactions.
The implementation focused on embedding client-side event capture and server-side event ingestion to feed behavioral signals and transaction data into the Sift scoring engine. Configurations emphasized event taxonomy for login, checkout, payment, and account changes, applying machine learning scoring, device fingerprinting, and session analytics to generate risk scores and labels.
Signals from Sift Science Digital Trust Platform are routed into e-commerce checkout workflows and customer support dashboards so risk scores surface during order authorization and account review. Operational coverage is centered on the website, with fraud operations, payments, and customer service consuming scores through APIs and webhook-style integrations to drive automated holds and manual review queues.
Rollout was staged to prioritize high-risk touchpoints such as payment processing and account login, with configuration governance overseen by the e-commerce and fraud operations teams to tune thresholds and response rules. The Beautylish Sift Science Digital Trust Platform deployment positions the retail site to use ML and Data Science Platforms capabilities for ongoing operational fraud control and account protection.
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Beautylish 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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Beautylish CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Customer Support | CRM |
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2015 | 2015 |
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Customer Support | CRM |
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2018 | 2018 |
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Marketing Automation | CRM |
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2012 | 2012 |
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Marketing Automation | CRM |
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2021 | 2021 |
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Beautylish ITSM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Application Performance Management | ITSM |
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2012 | 2012 |
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Beautylish PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
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Transactional Email | PaaS |
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2012 | 2012 |
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Transactional Email | PaaS |
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2012 | 2012 |
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Beautylish 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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2020 | 2020 |
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Application Hosting and Computing Services | IaaS |
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2015 | 2015 |
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Application Hosting and Computing Services | IaaS |
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2010 | 2010 |
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Content Delivery Network | IaaS |
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2014 | 2014 |
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Content Delivery Network | IaaS |
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2019 | 2019 |
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Content Delivery Network | IaaS |
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2021 | 2021 |
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IT Decision Makers and Key Stakeholders at Beautylish
| First Name | Last Name | Title | Function | Department | Phone | |
|---|---|---|---|---|---|---|
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Co-founder | CXO | Finance | |
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CEO & Chief Merchant | CXO | Finance | |
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Co-founder | CXO | Finance | |
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Marketing Manager | Manager | Marketing | |
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Director Customer Experience | Director | Customer Service | |
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Customer Experience Manager | Manager | Customer Service | |
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Apps Being Evaluated by Beautylish Executives
APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Beautylish IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Beautylish digital transformation priorities and AI adoption trends.
| Date | Company | Status | Vendor | Product | Category | Market |
|---|---|---|---|---|---|---|
| No data found | ||||||
FAQ - APPS RUN THE WORLD Beautylish Technographics
Beautylish is a Retail organization based in United States,
with around 150 employees and annual revenues of $20.0 million.
Beautylish operates a diverse technology stack with applications such as
Intuit Quickbooks Enterprise, Greenhouse ATS and Sift Science Digital Trust Platform,
covering areas like ERP Financial, Applicant Tracking System and ML and Data Science Platforms.
Beautylish has invested in cloud applications and AI-driven platforms to optimize efficiency and growth,
collaborating with vendors such as Intuit, Greenhouse and Sift Science.
Beautylish recently adopted applications including
Attentive in 2021, Cloudflare CDN in 2021 and Sift Science Digital Trust Platform in 2020,
highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Beautylish’s key decision makers and IT executives,
available to Premium subscribers.
Our research team continuously updates Beautylish’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 Beautylish technographics profile,
including detailed breakdowns by category, vendor, and IT decision makers.