AI Buyer Insights:

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Michelin, an e2open customer evaluated Oracle Transportation Management

Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

Citigroup, a VestmarkONE customer evaluated BlackRock Aladdin Wealth

Rag & Bone Tech Stack and Enterprise Applications

Rag & Bone ERP
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Microsoft Legacy Microsoft Dynamics 365 for Finance and Operations ERP Financial ERP n/a 2018 2019
In 2018 Rag & Bone implemented Microsoft Dynamics 365 for Finance and Operations to serve as its core ERP Financial system supporting finance, product design, production, planning, and logistics business functions. The deployment positioned Microsoft Dynamics 365 for Finance and Operations as the central transactional and master data platform for retail and apparel operations across its New York technology footprint. The implementation covered explicit Dynamics 365 modules including F&O, point of sale POS, digital order management DOM, and Customer Service, with configuration focused on financial management, inventory planning, production orchestration, and product data flows. Architecture guidance emphasized N tier enterprise design and service orientation including loose coupling and orchestration to enable scalable, fault tolerant business processes within Microsoft Dynamics 365 for Finance and Operations. Integrations were built to connect Dynamics 365 with Power Platform components and Azure Integration Services, using Azure API Apps, Azure Logic Apps, Azure Functions, and REST services to exchange data with various third party partners and custom application platforms. The technical stack included Microsoft Visual Studio for development, Azure DevOps for source control and build pipelines, and SQL for data persistence, reflecting an integrated cloud and on premise connectivity pattern. Operational governance was defined through technical design documentation, agile delivery practices, and coordinated testing and deployment activities across on site and offshore teams. A Lead D365 senior developer role drove application design, development, troubleshooting, and code quality standards, with responsibilities for breaking business specifications into technical tasks, mentoring teams, and maintaining release discipline using branching and merging strategies in Azure DevOps.
Payment Processing ERP 2019 2019
Payment Processing ERP 2020 2020
Rag & Bone 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, Rag & Bone deployed Greenhouse ATS as its Applicant Tracking System and embedded the Greenhouse ATS career flows on its public website. The implementation uses Greenhouse ATS to publish job postings, capture candidate applications through the brand career page, and manage candidate pipelines across defined recruiting stages. The configuration positions Greenhouse ATS as the primary sourcing and selection platform for Rag & Bone recruiting and HR functions. Architecturally the deployment follows a cloud SaaS model, with Greenhouse ATS handling applicant intake, interview scheduling, structured interview scorecards, and offer tracking consistent with standard Applicant Tracking System capabilities. Operational ownership is centralized within talent acquisition and HR teams supporting the United States workforce, with the website integration enabling direct apply flows and candidate data capture. Governance centers on standardized job templates and hiring stage workflows to ensure consistent selection processes across roles.
Rag & Bone AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Salesforce Legacy Salesforce Chat (formerly Salesforce Live Agent) Chatbots and Conversational AI AI-Powered Application n/a 2017 2017
In 2017 Rag & Bone implemented Salesforce Chat (formerly Salesforce Live Agent) on its customer-facing website to enable real-time conversational support on rag-bone.com. The deployment targeted online retail interactions supporting e-commerce customer service workflows for the brand, aligning technology with web storefront engagement and customer care functions. Salesforce Chat (formerly Salesforce Live Agent) was configured as an embedded web chat widget, using typical Chatbots and Conversational AI capabilities such as live agent routing, pre-chat capture, canned responses, presence awareness, and transcript capture. The implementation emphasized agent console visibility and session handoff, supporting synchronous chat handling and asynchronous follow-up when required. The solution was integrated directly into the rag-bone.com site to surface visitor context and product page metadata to chat sessions, keeping interactions localized to the digital storefront environment. Operational coverage focused on e-commerce and customer support touchpoints rather than enterprise-wide IT systems, preserving the deployment as a web-channel engagement layer. Governance and workflow adjustments included formalizing chat routing rules, defining agent shift and availability patterns, and establishing transcript retention and handoff procedures into existing support workflows. Operational control was centered on customer service and e-commerce teams, with the chat implementation serving as the primary conversational layer for online customer engagements.
Rag & Bone Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Collaboration Collaboration 2018 2018
Rag & Bone Content Management
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Content Management Content Management 2015 2015
Rag & Bone eCommerce
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
eCommerce Fraud Protection eCommerce 2022 2022
eCommerce Fraud Protection eCommerce 2022 2022
eCommerce eCommerce 2015 2015
eCommerce eCommerce 2019 2019
Personalization and Product Recommendations eCommerce 2016 2016
Shipping Management eCommerce 2018 2018
Rag & Bone CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Support CRM 2016 2016
Customer Support CRM 2022 2022
Marketing Analytics CRM 2019 2019
Marketing Analytics CRM 2021 2021
Marketing Analytics CRM 2022 2022
Marketing Automation CRM 2019 2019
Sales Automation, CRM, Sales Engagement CRM 2017 2017
Rag & Bone ITSM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Performance Management ITSM 2013 2013
Rag & Bone PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2021 2021
Rag & Bone IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2012 2012
Application Hosting and Computing Services IaaS 2017 2017
Content Delivery Network IaaS 2011 2011
Content Delivery Network IaaS 2014 2014
Content Delivery Network IaaS 2020 2020
Content Delivery Network IaaS 2012 2012
Rag & Bone CyberSecurity
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Secure Email Gateways (SEGs) CyberSecurity 2020 2020

IT Decision Makers and Key Stakeholders at Rag & Bone

First Name Last Name Title Function Department Email Phone
Financial Planning and Analysis Manager Manager Finance
Coordinator, Accounts Receivable Manager Finance
Staff Accountant - Wholesale & Treasury Manager Treasury

Apps Being Evaluated by Rag & Bone Executives

APPS RUN THE WORLD tracks software evaluation trends across 2 million companies worldwide, including buyer insights from Rag & Bone IT executives and key decision makers. This section highlights Rag & Bone's latest recorded technology evaluations, including Lectra Fashion PLM for Fashion PLM on 2025-11-17. As part of ARTW Buyer Intent and technographics insights, these findings provide useful visibility into the Rag & Bone digital transformation priorities and AI adoption trends.
Date Company Status Vendor Product Category Market
2025-11-17 Rag & Bone Evaluated Lectra Lectra Fashion PLM Fashion PLM PLM and Engineering
FAQ - APPS RUN THE WORLD Rag & Bone Technographics
Rag & Bone is a Retail organization based in United States, with around 700 employees and annual revenues of $100.0 million.
Rag & Bone operates a diverse technology stack with applications such as Microsoft Dynamics 365 for Finance and Operations, Greenhouse ATS and Salesforce Chat (formerly Salesforce Live Agent), covering areas like ERP Financial, Applicant Tracking System and Chatbots and Conversational AI.
Rag & Bone has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as Microsoft, Greenhouse and Salesforce.
Rag & Bone recently adopted applications including Signifyd in 2022, LexisNexis ThreatMetrix in 2022 and Gladly Customer Service in 2022, highlighting its ongoing modernization strategy.
APPS RUN THE WORLD maintains an up-to-date database of Rag & Bone’s key decision makers and IT executives, available to Premium subscribers.
Our research team continuously updates Rag & Bone’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 Rag & Bone technographics profile, including detailed breakdowns by category, vendor, and IT decision makers.