Poole, BH15 1HU,
United Kingdom
Lush Technographics
Lush Technographics, Software Purchases, AI and Digital Transformation Initiatives
Discover the latest software purchases and digital transformation initiatives being undertaken by Lush and its business and technology executives. Each quarter our research team identifies on-prem and cloud applications that are being used by the 4500 Lush employees from the public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources.
During our research, we have identified that Lush has purchased the following applications: Personio ATS for Applicant Tracking System in 2021, Adyen POS for Point Of Sale in 2019, Google Cloud Vertex AI for Generative AI Platforms in 2025 and the related IT decision-makers and key stakeholders.
Our database provides customer insight and contextual information on which enterprise applications and software systems Lush is running and its propensity to invest more and deepen its relationship with Personio , Zellis , SD Worx 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 Lush revenues, which have grown to $1.12 billion 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 Lush 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.
Lush Tech Stack and Enterprise Applications
Lush HCM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Personio | Legacy | Personio ATS | Applicant Tracking System | HCM | n/a | 2021 | 2021 |
In 2021, Lush deployed Personio ATS as its Applicant Tracking System on its website. The implementation centralized external candidate intake through embedded careers pages and configured core ATS functions including job requisition publishing, application form capture, candidate profile management, and pipeline tracking to support online hiring workflows.
Personio ATS routes applicant submissions from Lush's public careers site into a centralized candidate database, supporting Talent Acquisition and HR operations across Lush's United Kingdom recruiting teams. Configuration emphasized configurable pipeline stages, automated candidate routing, interview scheduling workflows, and role-based access controls for hiring managers, aligning online application intake with internal requisition approval and hiring governance.
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Employee Self Service | HCM |
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2020 | 2020 |
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Payroll | HCM |
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2018 | 2018 |
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Recruiting, Applicant Tracking System | HCM |
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2024 | 2024 |
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Lush ERP Services and Operations
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Adyen | Legacy | Adyen POS | Point Of Sale | ERP Services and Operations | n/a | 2019 | 2019 |
In 2019, Lush deployed Adyen POS as its Point of Sale system and began a staged rollout across 110 Lush stores in Germany, the United Kingdom and Japan, with the POS software distribution continuing through 2019. The program also included a pilot of bespoke POS hardware that debuted in November 2019 and is being tested in two U.K. stores, while Lush operates over 950 shops with more than 3,800 cash registers globally and maintains an average of four registers per store. Typical single POS hardware costs cited in the market range between $2,500 and $6,400, and Lush noted ongoing subscription, processing and maintenance costs factor into total ownership. Lush reports it has processed over $221 million in sales across 12.5 million transactions using its own POS software.
Adyen POS at Lush was implemented as an open source software platform, the codebase of Adyen POS is hosted on GitHub, and core functional capabilities implemented include email receipts, buy online and pick up in store workflows, order online and pay in-store flows, and live shop-level sales reporting. The implementation provides consolidated visibility of sales per shop and live sales information, and it generates up-to-date stock management reports for manufacturing and supply chain functions. Lush framed the system as a singular platform that extends between e-commerce and retail to address synchronization between online launches and in-store exclusives.
Architecturally the initiative emphasizes in-house control of the POS software stack and durable, serviceable hardware design to facilitate replaceable parts and longer lifecycle management. The solution is positioned to unify checkout workflows across channels, reduce friction during high volume product launches, and allow faster feature rollout by centralizing the POS application layer under Lush control. Lush has explicitly limited customer data use to processing and invoicing of purchases to strengthen data protection, and the open source approach is intended to enable external contributions without full-time internal engineering investment.
Governance and operational intent were expressed around centralizing update cadence and release control to keep pace with frequent product launches, and Lush signaled a supplier selection filter that includes ethical manufacturing and use of renewable energy to power transaction flows. The company emphasized using the platform to reduce long-term costs associated with POS implementation and management while improving the customer experience through increased personalization and faster checkout throughput. Lush did not provide a definitive quantified cost savings figure, noting overall costs are not clean cut, and the roadmap indicates additional features and functionality will be introduced over time.
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Lush AI Development
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
|---|---|---|---|---|---|---|---|---|
| Legacy | Google Cloud Vertex AI | Generative AI Platforms | AI Development | n/a | 2025 | 2025 |
In 2025 Lush implemented Google Cloud Vertex AI to power AI-driven product recognition at checkout, using Generative AI Platforms to reduce packaging waste in its beauty shops. The deployment of Google Cloud Vertex AI positions Lush to centralize model lifecycle capabilities and to operationalize computer vision workflows at point of sale, directly linking the Company Application Category Business Function relationship as Lush Google Cloud Vertex AI Generative AI Platforms retail checkout and sustainability.
The implementation uses Google Cloud Vertex AI for model training, hosted model endpoints, and real-time inference, paired with Google Cloud Storage for image and asset management. Functional capabilities implemented include vision-based product recognition models, model hosting and serving on Vertex AI, and storage pipelines for training and inference data, reflecting standard Generative AI Platforms workflows for model development, deployment, and monitoring.
Operational scope is focused on Lush beauty shops and retail checkout operations, impacting retail operations and sustainability teams responsible for packaging reduction initiatives. The deployment aligns with Google Cloud’s UK data residency and security commitments, enabling data processing choices within the UK and leveraging low-latency cloud infrastructure as available, while governance has been structured around centralized model hosting on Vertex AI and controlled asset management in Cloud Storage to support consistent rollout and responsible AI practices.
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Lush Analytics and BI
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Analytics and BI | Analytics and BI |
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2018 | 2018 |
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Lush Collaboration
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Collaboration | Collaboration |
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2016 | 2016 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Collaboration | Collaboration |
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2022 | 2022 |
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Lush Content Management
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Digital Signing | Content Management |
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2021 | 2021 |
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Lush eCommerce
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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eCommerce | eCommerce |
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2020 | 2020 |
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Lush CRM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Customer Engagement | CRM |
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2018 | 2018 |
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Customer Support | CRM |
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2014 | 2014 |
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Customer Support | CRM |
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2021 | 2021 |
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Customer Support | CRM |
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2020 | 2020 |
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Marketing Automation | CRM |
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2012 | 2012 |
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Sales Automation, CRM, Sales Engagement | CRM |
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2022 | 2022 |
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Lush PPM
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Project Portfolio Management | PPM |
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2019 | 2019 |
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Lush PaaS
Vendor |
Previous System |
Application |
Category |
Market |
VAR/SI |
When |
Live |
Insight |
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Transactional Email | PaaS |
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2017 | 2017 |
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Lush 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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2021 | 2021 |
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Content Delivery Network | IaaS |
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2020 | 2020 |
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IT Decision Makers and Key Stakeholders at Lush
Apps Being Evaluated by Lush Executives
| Date | Company | Status | Vendor | Product | Category | Market |
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| No data found | ||||||