AI Buyer Insights:

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Michelin, an e2open customer evaluated Oracle Transportation Management

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.
Employee Self Service HCM 2020 2020
Payroll HCM 2018 2018
Recruiting, Applicant Tracking System HCM 2024 2024
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.
Lush AI Development
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Google 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.
Lush Analytics and BI
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Analytics and BI Analytics and BI 2018 2018
Lush Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2016 2016
Collaboration Collaboration 2022 2022
Collaboration Collaboration 2022 2022
Lush Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Digital Signing Content Management 2021 2021
Lush eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce eCommerce 2020 2020
Lush CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Engagement CRM 2018 2018
Customer Support CRM 2014 2014
Customer Support CRM 2021 2021
Customer Support CRM 2020 2020
Marketing Automation CRM 2012 2012
Sales Automation, CRM, Sales Engagement CRM 2022 2022
Lush PPM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Project Portfolio Management PPM 2019 2019
Lush PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2017 2017
Lush IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2021 2021
Content Delivery Network IaaS 2020 2020

IT Decision Makers and Key Stakeholders at Lush

First Name Last Name Title Function Department Email Phone
Global Customer Care Manager Manager Customer Service
Customer Care Assistant Manager Customer Service
Customer Care Advisor Manager Customer Service
Global Digital Director Director IT
Creative Technology & Innovation Lead Manager IT

Apps Being Evaluated by Lush Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Lush IT executives and key decision makers. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Lush digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
No data found
FAQ - APPS RUN THE WORLD Lush Technographics
Lush is a Consumer Packaged Goods organization based in United Kingdom, with around 4500 employees and annual revenues of $1.12 billion.
Lush operates a diverse technology stack with applications such as Personio ATS, Adyen POS and Google Cloud Vertex AI, covering areas like Applicant Tracking System, Point Of Sale and Generative AI Platforms.
Lush has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Personio, Adyen and Google.
Lush recently adopted applications including Google Cloud Vertex AI in 2025, Pinpoint ATS in 2024 and Google Workspace (Formerly Google G-Suite) in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Lush’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Lush’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.
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